Table of Contents1. Core Mindset Shift: From "Scripter" to "Architect"2. Deepening Exam Preparation: A 16-Week Journey from Fundamentals to Mastery3. Core Strategies for Maximizing Your Score In the CCIE Automation v1.1 examination framework, mere "command memorization" has become completely obsolete. As an engineer aspiring to expert-level certification, your preparation journey must undergo a fundamental transformation—shifting from "fragmented tool learning" to "systematic architectural design." The following guide will walk you through every detail of the exam preparation process, from setting up the foundational environment to navigating high-pressure, real-world scenarios.   1. Core Mindset Shift: From "Scripter" to "Architect" CCIE Automation v1.1 requires you to demonstrate the ability to manage the entire lifecycle (LCM) of infrastructure—implemented through code—within an enterprise-grade hybrid cloud environment. This implies that your approach to problem-solving must adhere to the following principles: Design Principles: Reject hard-coding; instead, embrace modular design to ensure that every automation deliverable meets the standards of observability and resilience. Shift Left on Security: Embed security policies directly into every line of your IaC scripts, thereby realizing the concept of "Security as Code."   2. Deepening Exam Preparation: A 16-Week Journey from Fundamentals to Mastery Phase 1: Foundation Building and Tooling Engineering (Weeks 1–3) The Core Logic of IaC: Do not merely learn Terraform’s syntax; delve deeply into its State files (state management). Understanding how Terraform maintains consistency between the actual environment and your code—by comparing states—is the bedrock of all complex orchestration. The Art of Templating: Jinja2 is your scalpel for achieving mass configuration deployment. Do not settle for simple variable substitution; learn to leverage Jinja2’s filters and control logic (loops/if-else statements) to handle complex templates for network element parameters. Setting Up Your Lab Environment: This is the most time-consuming—yet most rewarding—part of the process. Use CML 2.0 to construct a small-scale topology featuring Nexus, APIC, and DNA Center. In the early stages, force yourself to manually configure a specific service workflow once, and then rewrite it using Python/Ansible. This "manual comparison method" will help you develop a deep, instinctive "muscle memory" regarding API structures. Phase 2: Deep Dive into Scenario-Based Integration (Weeks 4–10) Controller Interoperability Logic: In the exam, you will not be asked to configure SD-WAN in isolation. You must design a logical workflow: utilize Python scripts to retrieve Access Point data from DNA Center, automatically synchronize this data to vManage policy configurations via APIs, and ensure that change records are pushed in real-time to a logging system via a Git CI/CD pipeline. Modular IaC Practices: Practice writing the invocation logic for Terraform Providers. Learn how to define "modules" tailored to different environments to enable the rapid reusability of resources. Fault Simulation and Troubleshooting Training: This marks the true watershed moment in your CCIE preparation. Deliberately inject faults into your simulated environment: API Layer: Modify API endpoint permissions or introduce incorrect payload structures, then analyze the controller's error logs. Configuration Layer: Intentionally create configuration inconsistencies (drift), and observe how Terraform detects and rectifies these discrepancies using the `terraform plan` command. Troubleshooting Guide: Create your own "Error Code Cheat Sheet," covering common HTTP 4xx/5xx responses and the corresponding common fault symptoms on specific platforms. Phase 3: Full-Scale Simulation and Stress Testing (Weeks 11–16) Time Allocation Strategy: For the 8-hour lab session, the Design Phase (3 hours) should focus on producing logic diagrams and workflow documentation; the Deployment Phase (5 hours) is dedicated to code delivery and verification. Practice completing a clear outline of the architectural logic within 30 minutes; this ensures you can proceed with coding in a systematic and organized manner during the remaining time. Optimizing Documentation Reference: Access to official documentation is permitted during the exam. However, you should not wait until you encounter a problem to look things up; instead, you must "index" frequently used API parameter lists and Terraform Provider documentation in your mind beforehand. During practice sessions, impose a strict rule upon yourself: allow no more—and no less—than 5 minutes of documentation lookup time per question. This discipline forces you to become intimately familiar with the organizational structure of the Cisco DevNet documentation.   3. Core Strategies for Maximizing Your Score Prioritize Architectural Thinking: Examiners are not concerned with the aesthetic elegance of your code; rather, they evaluate whether your design meets the requirements for High Availability (HA), scalability, and maintainability. Embrace Terraform: It is the central pillar of v1.1; Puppet is now a thing of the past. A deep understanding of Terraform's state file management is the key differentiator between success and failure. Troubleshooting is King: While successful automated delivery is the norm, the true mark of a CCIE expert lies in the ability to rapidly diagnose and resolve "automated execution failures." Ensure Environmental Consistency: Any discrepancy in versioning—no matter how minor—can result in failed API requests or invalid configuration commands. It is imperative that you meticulously align your local CML environment parameters with those of the production environment.   Summary: CCIE Automation v1.1 is no longer merely an exam on "how to write code"; instead, it assesses your ability—as a Network Automation Architect—to facilitate automated service delivery, ensure security, and implement intelligent operations within complex hybrid cloud environments. Keeping pace with the latest syllabus updates, SPOTO has released its newest question bank and comprehensive analysis of key exam topics. Say goodbye to aimless studying; let our experts break down the core exam concepts for you, helping you achieve your ideal goal of passing on your very first attempt!

Table of Contents1. Engineering-Centric Restructuring of the Core Knowledge Graph2. Practical Deep Dive into Key Technologies and Identifying Pitfalls3. Exam Preparation Strategy: Building a "Full-Lifecycle Hands-On" Framework The revision of CCIE EI v1.1 is not merely a simple version update; rather, it represents Cisco's recalibration of the competency model for enterprise network engineers amidst the sweeping wave of "Software-Defined Everything" (SDx). Following this revision, the exam will more rigorously assess your ability to provide business support within complex, hybrid, and automated environments.   1. Engineering-Centric Restructuring of the Core Knowledge Graph v1.1 does not simply involve the removal of technologies such as VTP or GRE; more fundamentally, it reshapes the entire knowledge framework. (1) An Engineering Perspective on Software-Defined Architectures (25%) Full-Lifecycle Management of SD-Access: v1.1 no longer assesses the isolated task of "how to configure the fabric"; instead, it treats the fabric as a complete lifecycle to be managed through "six key sub-tasks." The newly added "Fabric in a Box" feature—now a standard requirement for small branch offices—demands that you demonstrate expert proficiency in enabling a full suite of SDA functionalities using a limited set of physical devices. SDA 360-Degree Assurance: This represents a monumental leap forward in operational and maintenance philosophy. The exam will require you to go beyond mere "deployment"; you must also utilize the performance metrics dashboards within DNA Center 2.3 to analyze and diagnose issues—such as roaming latency or authentication failures—for specific client devices. SD-WAN and Multi-Cloud Integration: Traditional SD-WAN deployments are now considered foundational knowledge; current exam questions place a much greater emphasis on "Cloud OnRamp" capabilities. For instance, you may be required to configure VPN transport connections at the cloud edge (e.g., on AWS or Azure) and ensure that the OMP protocol accurately learns and propagates business routes originating from the cloud environment. (2) Practical Implementation of Automation and Programmability (20%) Automation has emerged as the definitive differentiator between a CCIE and a CCNP. From Data Ingestion to Architectural Generation: YAML is more than just a data format; it serves as the vital counterpart to Jinja2. During your exam preparation, attempt to construct a workflow similar to the following: extract device-specific information from a CSV file; use the Jinja2 template engine to batch-generate configuration files (.conf) containing OSPF, BGP, and VRF settings; and finally, use Ansible to batch-push these configurations to a virtual network topology. In-Depth, Hands-On API Application: Move beyond the basics—stop limiting yourself to simple GET requests. v1.1 assesses the business logic behind POST and PUT operations—for instance, how to dynamically modify Application-Aware Routing (AAR) policies via the vManage API, or how to leverage the DNA Center API to perform the bulk discovery and management of devices.   2. Practical Deep Dive into Key Technologies and Identifying Pitfalls (1) Network Infrastructure: High Availability and Routing Control Multi-Chassis EtherChannel (MEC): In a Catalyst 9000 environment, MEC configurations are highly susceptible to issues—such as routing loops or connectivity failures—caused by mismatched LACP negotiation parameters. It is imperative that you practice performing non-disruptive changes within a StackWise Virtual architecture. Inter-VRF Route Leaking: This constitutes a fundamental building block of complex enterprise networks. Focus your study on how to utilize import/export maps to exercise granular control over routing attributes—specifically, the fine-grained operations required when implementing route filtering policies. (2) Streamlined Transport Technologies Although the exam scope for technologies such as DMVPN has been reduced, this does not imply that they have become simpler. On the contrary, in version 1.1, should you encounter a DMVPN Phase 3 scenario, examiners will expect you to rapidly troubleshoot NHRP registration failures or tunnel encryption negotiation errors within an extremely short timeframe. Focus your efforts on the core operational and troubleshooting scenarios associated with these technologies.   3. Exam Preparation Strategy: Building a "Full-Lifecycle Hands-On" Framework (1) Domain Prioritization and In-Depth Mastery Phase 1: Console Proficiency (Weeks 1–3): Do not simply memorize command-line syntax. Instead, repeatedly invoke vManage and DNA Center API endpoints within the DevNet Sandbox to understand the underlying architectural logic behind every JSON response. Phase 2: Scenario Simulation and Troubleshooting (Weeks 4–8): This is the most challenging phase. Utilize CML 2.0+ to construct comprehensive topologies that incorporate both SDA and SD-WAN components. Deliberately misconfigure OMP policies or Fabric border interfaces, and practice how to rapidly pinpoint and resolve these conflicts within a 5-hour timeframe. Phase 3: Automation and Templating (Weeks 9–12): Establish your own library of automation code; translate frequently used interface configurations, policy deployments, and health checks into Jinja2 templates, and perform regression testing on these templates within your simulated lab environment. (2) Key Mindsets and Techniques for Exam Preparation Focus on "Business Continuity": For any configuration changes made during the exam, you must first assess their potential impact on existing network traffic. Prior to the deployment phase, cultivate the habit of performing automated verification—adopting a "test before going live" approach. Version Compatibility Verification: Before applying any configurations, you must cross-reference software versions using the `show version`command and the controller's graphical interface to prevent task failures caused by CLI syntax discrepancies specific to IOS XE 17.9. Approach the "Design Module" with Composure: The initial 3-hour Design Module dictates the trajectory of the subsequent 5-hour deployment phase. Treat your design blueprint as a binding "contract"; all subsequent deployment tasks must strictly adhere to this architecture to avoid configuration chaos resulting from arbitrary logical changes made during the implementation process.   Summary: The significance of CCIE EI v1.1 lies in its deep integration of enterprise network engineering with modern DevOps principles. By eliminating cumbersome technical minutiae, the curriculum redirects candidates' focus toward business-driven network orchestration and intelligent operations. For candidates, true proficiency in today's increasingly complex enterprise networking landscape can only be achieved by mastering a holistic view of software-defined architectures and skillfully leveraging automation tools to resolve real-world performance and security challenges. Keeping pace with the latest syllabus updates, SPOTO has taken the lead in releasing the newest question banks and detailed analyses of key exam topics. Say goodbye to aimless studying; let our seasoned experts break down the core exam concepts for you, helping you achieve your ultimate goal: passing on your very first attempt!  

Table of Contents1. Thematic Shift: From "Scripting Artisan" to "System Architect"2. Key Technology Stack Evolution Checklist3. Practical Exercises: A Three-Phase Exam Preparation Blueprint (12–16 Weeks)4. Core Exam Preparation Philosophy: Beyond Code—It's About Engineering Effective February 3, 2026, the DevNet Expert certification officially upgrades to CCIE Automation v1.1. This renaming represents not merely a brand consolidation, but a fundamental redefinition by Cisco of the "software engineering capabilities" expected of network engineers. Although the overall body of knowledge has shifted by less than 10%, the primary focus of the examination has shifted comprehensively—moving away from mere "scripting" toward "automation architecture design and cross-platform integration."   1. Thematic Shift: From "Scripting Artisan" to "System Architect" While Version 1.1 retains the classic format of the 8-hour lab exam (covering both design and deployment), there has been a significant shift in the focus of the toolchain assessment: Core Tenet: The exam now incorporates modern IaC (Infrastructure as Code) principles, deprecates obsolete APIs, and places a heightened emphasis on the ability to automate and manage hybrid cloud environments and containerized (K8s) architectures. Toolchain Restructuring: Terraform has officially replaced Puppet as the core IaC tool; Jinja2 and YAML have become the standard tools for configuration automation; and the depth of integration—specifically the proficiency in utilizing controller APIs such as vManage and DNA Center—is now the critical factor determining one's final score.   2. Key Technology Stack Evolution Checklist Candidates should prioritize adjusting their knowledge base, focusing specifically on technological iterations within the following domains: Software Design & Architecture (Core): New additions include Hybrid Cloud Design, K8s Microservices, and Observability Design for Automation Systems; foundational and fragmented scripting tasks have been removed. Automation & IaC (Core): New additions include YAML/Jinja2 Templating, Terraform, and practical Postman application; IOS XE Native APIs and Puppet have been removed. Network Security (Core): New additions include API Security Hardening, OWASP Principles, and Key Management within automated environments; emphasis is placed on enhancing "Shift-Left Security" logic within automation workflows. Operations & Troubleshooting (Core): New additions include AI/ML-driven diagnostic logic and cross-platform (ACI/SD-WAN) coordinated self-healing capabilities, with a focus on strengthening automated anomaly handling capabilities.   3. Practical Exercises: A Three-Phase Exam Preparation Blueprint (12–16 Weeks) Phase 1: Foundation Building & Environment Alignment (Weeks 1–3) Task Checklist: Download the v1.1 blueprint; clearly define the scope of "new additions" and "removals" relative to previous versions; and complete the environment alignment process—specifically for designated versions such as IOS XE 17.9 and SD-WAN 20.9—within the DevNet Sandbox. Key Skills: Rapidly master the fundamentals of HCL (Terraform) and Jinja2 control flow. Phase 2: Core Proficiency & Platform Integration (Weeks 4–10) This constitutes the "deep end" of the entire exam preparation process; a project-driven learning approach is highly recommended: IaC in Action: Write Terraform modules to orchestrate resources across multiple data centers, and utilize Jinja2 to generate device configurations that meet compliance requirements. In-Depth API Integration Testing: Build a comprehensive Postman collection covering all core endpoints for vManage and DNA Center, with a specific focus on testing the automated conflict resolution capabilities for device configurations. Multi-Platform Interoperability: Simulate and implement the integration logic wherein "the deployment of an SD-WAN policy automatically triggers a security compliance scan via DNA Center." Phase 3: High-Pressure Troubleshooting & Architectural Optimization (Weeks 11–16) Simulated Exam Practice: Conduct a full-cycle, 8-hour simulation session every week. The Design Module (3 hours) requires training in how to rapidly sketch out high-availability solutions; the Deploy Module (5 hours) requires the ability to quickly recover from simulated failures, such as API timeouts and resource conflicts. Review & Optimization: Create a "Troubleshooting Playbook" to establish rapid-response protocols for high-frequency issues, including API return code errors, configuration drift, and template rendering errors.   4. Core Exam Preparation Philosophy: Beyond Code—It's About Engineering Reject Rote Memorization: The CCIE Automation exam assesses your problem-solving mindset—specifically, your ability to leverage tools to resolve issues. For instance, when confronted with complex faults, you should be able to utilize Python scripts to automatically retrieve and compare status data across multiple devices, rather than relying on manual verification. Shift Left Security: When designing any automation solution, it is imperative to prioritize the principle of least privilege for API access and to implement data masking for sensitive information; this is considered a value-added element in v1.1 of the exam. Version Consistency Principle: Discrepancies between the software versions in the actual exam environment and your preparation environment are a common cause of lab failures. You must ensure that every API method you intend to use has been thoroughly validated against the specific controller version relevant to the exam. The core of the CCIE Automation v1.1 transformation lies in an "engineering mindset." Throughout your preparation, consistently adhere to the principles that "practical application outweighs theory" and "design takes precedence over code." Once you can proficiently use Terraform to orchestrate multi-cloud environments, employ Jinja2 templates to standardize complex configurations, and leverage APIs to establish closed-loop health monitoring, you will have attained the technical vision expected of a CCIE Automation expert.   Summary: We recommend that you immediately begin setting up a local lab environment. Prioritize the new focus areas introduced in this update—specifically container integration and cloud-edge deployment—as key areas for intensive study. Through deliberate practice, ensure that you can navigate the entire lifecycle—from architectural design to automated delivery—with complete confidence and ease during the actual exam. With agile responsiveness, SPOTO provides real-time synchronization of authoritative exam syllabus updates, ensuring that our students are the very first to access the latest question banks and in-depth analyses of key exam topics. We are dedicated to helping you build a robust knowledge foundation—through deep-dive analyses of critical technical concepts and realistic mock exams—enabling you to pass your certification exam on your very first attempt with absolute confidence!

Table of Contents1. An In-Depth Analysis of the Certification2. Evolution of the Core Technology Stack and Deepening Practical Skills3. Differentiated Exam Preparation Guide: From "Competence" to "Mastery"4. Throughout your exam preparation, please consistently adhere to the following principles: With the brand consolidation of the Cisco certification ecosystem, CCIE Automation has emerged as a dual benchmark for measuring an engineer's "architectural design capabilities" and their ability to translate "software engineering principles into practical implementation." Facing the v1.1 exam environment of 2026, candidates must not only master the tools at their disposal but also deeply understand the architectural significance of these tools within enterprise-scale networks.   1. An In-Depth Analysis of the Certification CCIE Automation is not merely a renaming of the DevNet Expert certification; it represents Cisco's strategic recognition of the evolution of network automation—shifting from a model of "script-based support" to that of a "productivity platform." Tiered Learning Benefits: Through the progressive learning path offered by the CCNA and CCNP Automation tracks, you should shift your primary focus during the CCIE phase from simply "mastering APIs" to "designing a comprehensive automation ecosystem." Stability Amidst Challenges: While the lab content for v1.1 remains largely consistent at the blueprint level, the examiners' requirements regarding "code robustness," "error handling," and "configuration consistency across multiple sources" have been significantly elevated during the grading process.   2. Evolution of the Core Technology Stack and Deepening Practical Skills (1) Engineering Infrastructure as Code (IaC) Simple, standalone Terraform scripts are no longer sufficient to tackle CCIE-level exam challenges; you must master the following engineering dimensions: Modular Management: The ability to write reusable Terraform modules and manage variations across different production environments using variables. State Storage and Concurrency Control: An understanding of how to handle Terraform State files—specifically locking and backup procedures—within a collaborative, multi-user environment. CI/CD Integration: Building automated pipelines using tools such as GitLab Runner or Jenkins, with a specific focus on resolving Git conflicts, managing revert processes, and ensuring adequate automated test coverage. (2) Advanced Modeling for Network Service Orchestration In the realm of network programmability, Cisco NSO and model-driven automation take center stage: YANG Modeling Fundamentals: Beyond merely invoking NETCONF operations, you must possess a deep understanding of how OpenConfig and IETF models abstract and standardize device attributes across different vendors. NSO Service Lifecycle: Mastering the complete closed-loop process—from Service Definition and Template Mapping to the final configuration deployment—with particular emphasis on automated Conflict Resolution for configuration discrepancies. (3) AIOps (AI-Driven Operations) Outlook LLM Network Agents: This represents the most forward-looking direction within the updated exam syllabus. Candidates are required to learn how to utilize LLM APIs to process massive volumes of log data and analyze anomalous traffic, integrating this logic into automated systems to achieve a transition from "rule-driven" to "intent-driven" operations. Intelligent Troubleshooting: Practice writing scripts to automatically collect pyATS test data, and leverage AI assistance to analyze and compare deviations between the "expected state" and the "actual state."   3. Differentiated Exam Preparation Guide: From "Competence" to "Mastery" (1) Advanced Lab Strategies (8-Hour Intensive Drill) Design Module (First 3 Hours): This is the critical phase that determines success or failure. Do not rush to write code; instead, spend the first 30 minutes modeling the entire network architecture and finalizing your tool selection. For example: Why choose Ansible for this specific scenario rather than using Python to call APIs directly? Deployment Module (Final 5 Hours): Treat the exam environment as if it were a production environment. Always adhere to the following sequence: first, back up the environment's state; second, implement the changes; and finally, execute automated regression tests. Enhanced Fault Isolation: During practice sessions, deliberately break dependencies within your automation scripts—such as libraries, configuration files, or API connections—to simulate the pressure of troubleshooting within a 5-hour window. This cultivates the ability to remain calm and effective under strict time constraints. (2) Software and Hardware Environment Version Checklist To ensure the accuracy of your exam preparation environment, please verify the following versions: CML 2.x: Used for building full-featured virtual network topologies. Nexus OS / IOS-XE: Ensure that the versions align with the latest exam blueprint. Automation Environment: Pre-installed with Python 3.10+, Ansible 2.15+, Terraform v1.5+, and NSO 6.x.   4. Throughout your exam preparation, please consistently adhere to the following principles: Code Standardization: Follow the PEP 8 standard when writing scripts. Code comments should explain the underlying business logic rather than merely describing the function of the code itself. Security First: When exam tasks involve key management, you must utilize environment variables or encrypted storage solutions. Hardcoding API credentials in plain text directly within scripts is strictly prohibited. Closed-Loop Testing: Upon the completion of any automation task, you must configure corresponding "Verification Tasks" to confirm that the implemented changes fully align with the original design objectives.   Summary: The CCIE Automation v1.1 exam is not merely a technical skills contest, but rather an assessment of your capabilities in systems engineering. By engaging in a systematic study of CI/CD, network orchestration, IaC, and AI-driven diagnostics, you are not simply preparing for an exam; you are, more importantly, constructing your own personal methodology for automation engineering. Throughout the remainder of your exam preparation cycle, we recommend shifting your focus from the mere "accumulation of knowledge points" to the actual "construction of automation systems." By continuously refactoring practice exercises within the Cisco DevNet Sandbox, you can internalize an automation-centric mindset, transforming it into a professional instinct. SPOTO has promptly updated course materials and question banks in accordance with the latest exam versions. We provide the most up-to-date explanations of key concepts and detailed analyses of practice questions to help you pass the exam successfully on your very first attempt!

Table of Contents1. Core Assessment Paradigm and Time Planning2. Detailed Breakdown of Key Technical Domain Changes3. Hardware and Software Version Checklist4. Differentiated Exam Preparation Strategies: How to Stand Out in v3.1 As enterprise architectures undergo a profound evolution toward hyper-convergence and cloud-nativeness, the Cisco CCIE Data Center certification officially entered the v3.1 era on March 1, 2026. Although the overall scope of this update remains within 20%, the underlying assessment logic has undergone a substantial shift: transitioning from a sole focus on "network protocol configuration" to "architectural automation and high-performance application support."   1. Core Assessment Paradigm and Time Planning Exam Structure Overview: The exam duration is 8 hours. The Design module (3 hours) assesses architectural logic and compliance, while the Deploy/Operate/Optimize module (5 hours) serves as the "touchstone" for practical, hands-on proficiency. The primary focus of grading has expanded beyond mere "configuration correctness" to encompass the "impact on business continuity" and the "application of automation techniques." Recommended Preparation Cycle: It is advisable to allocate 12–16 weeks for preparation. The first 4 weeks should be dedicated to a modular review and organization of the knowledge base; the middle 8 weeks should focus on in-depth practical exercises involving automation toolchains and high-performance protocols; and the final 4 weeks should be utilized for stress testing and time management optimization through full-scale mock exams.   2. Detailed Breakdown of Key Technical Domain Changes (1) The "De-traditionalization" and "Intelligentization" of Network Architecture Complete Removal of STP: This marks the definitive end of traditional Ethernet architectures within the data center, establishing EVPN-VXLAN as the absolute core technology. Preparation efforts must prioritize ESI multi-homing, ARP suppression, and underlay routing convergence strategies. AI/ML-Enabled Networking: To support high-throughput, low-latency AI workloads, the configuration and congestion management of RoCE v2 have emerged as key advanced assessment areas. Candidates must possess a deep understanding of how to configure switch buffers to effectively handle bursty traffic. Fabric Management Innovation: A shift from singular CLI-based operations to unified, multi-site management powered by the Nexus Dashboard Orchestrator (NDO). This mandates that candidates become proficient in cross-Fabric resource provisioning, VRF extension, and the consistent deployment of policies. (2) The Modern Convergence of Compute and Storage Compute Architecture Upgrades: UCS Manager v4.0 introduces more robust logic for server template configuration. Candidates preparing for the exam should pay close attention to its synergistic relationship with the Nexus Dashboard. For hyper-converged scenarios, the newly added integration between Nutanix AHV and UCS—now a specific exam topic—requires candidates to possess a broader background in the operations and maintenance of virtualization platforms. Storage Networking Transformation: Storage protocols are undergoing a historic migration from FCoE to NVMe-oF. Candidates must demonstrate proficiency in configuring FC-NVMe within modern SAN environments, as well as leveraging NVMe over Fabric to enable high-speed host-side access. (3) Automation: From "Optional" to "Essential" IaC Paradigm Shift: The adoption of Terraform—replacing Puppet—signifies an increased emphasis on declarative programming logic. This extends beyond simple API calls to encompass the maintenance of Terraform State files and the modular management of data center resources. API and Model-Driven Automation: The exam places significant focus on the RESTCONF and NETCONF protocols, as well as the utilization of YANG data models to orchestrate automated changes. The ability to leverage Python scripts to invoke Nexus Dashboard APIs for batch operations and maintenance tasks is a critical skill for achieving a high score.   3. Hardware and Software Version Checklist To avoid "version-related configuration errors," please ensure that your lab environment meets the following specifications: Nexus OS: 10.1 (Core OS, supporting foundational features). ACI APIC: 5.2 (The cornerstone for multi-site and SD-WAN integration). UCS Manager: 4.0. Virtualization: VMware vSphere 8.0. Automation Environment: Pre-installed Terraform Core Providers and Ansible 2.9+ Core Modules.   4. Differentiated Exam Preparation Strategies: How to Stand Out in v3.1 From "Script Debugging" to "Troubleshooting": The new version of the exam places a greater emphasis on troubleshooting extreme scenarios—such as "automation link failures" or "packet loss caused by RoCE v2 configuration errors." It is recommended that you deliberately simulate errors—such as link outages or API timeouts—during your lab practice to hone your recovery skills. Build an API Practice Sandbox: Leverage the Cisco DevNet Sandbox; do not focus solely on "how to configure" but also on "how to query" and "how to compare." Create a Postman collection to document the API paths for all critical resources (Leafs, Spines, VRFs, Endpoints). Understand the Logical Weight of "Design": The Design module is not merely about answering questions; it determines the architectural success or failure of the subsequent 5-hour Deployment phase. You must understand *why* you would choose EVPN over traditional routing in a specific scenario; this ability to logically deduce business requirements is what examiners value most.   Summary: The direction of the adjustments to the CCIE DC v3.1 exam is crystal clear: streamline redundancy, embrace cloudification, and reinforce automation. For candidates, this represents both a challenge and an opportunity to reshape their professional capabilities. Only by elevating your perspective from that of a traditional "switch administrator" to that of a "Software-Defined Data Center Architect" can you confidently secure success under these new standards. SPOTO has promptly updated course materials and question banks in accordance with the latest exam versions. We provide the most up-to-date explanations of key concepts and detailed analyses of practice questions to help you pass the exam successfully on your very first attempt!

Table of Contents1. Core Exam Update Overview2. Detailed List of Topic Changes Across Five Key Domains3. Software Version Upgrades4. Recommended Preparation Strategies 1. Core Exam Update Overview The CCIE EI LAB version has been upgraded from v1.0 to v1.1. This constitutes a minor revision (with overall content adjustments of less than 20%) and utilizes Cisco's newly introduced Agile Revision Process to ensure that exam content remains synchronized with current industry technologies. Effective February 1, 2026, all global testing centers will fully adopt the new exam content version. SPOTO's course materials and exam question banks have already been updated to reflect this latest version. Exam Format: There are no structural changes to the exam format; it remains an 8-hour lab-based examination consisting of a Design module (3 hours) and a Deploy/Operate/Optimize module (5 hours), maintaining the original exam workflow and grading criteria.   2. Detailed List of Topic Changes Across Five Key Domains (1) Network Infrastructure (30%) Removal of Obsolete Technologies: VLAN Database and VTP (1.1.c)—reflecting changes in best practices for VLAN management in modern networks. The entirety of the original task 1.3.d, as well as the fast convergence requirements and IP FRR single-hop features previously found in 1.3.f. Loop-free Alternate (LFA) in OSPFv2 (1.4.e) and Multipath/Add-path in BGP (1.5.f). Addition of Practical Features: Identification of Multichassis EtherChannel use cases (1.1.d)—strengthening capabilities in high-availability data center design. Inter-VRF route leaking (using Route Maps and VASI) and L3 MTU configuration (1.2)—enhancing routing control capabilities in complex network environments. OSPFv3 Address Family support (1.4)—adapting to the evolving trends of IPv6 networks. (2) Software-Defined Infrastructure (25%) Comprehensive restructuring of SD-Access and SD-WAN task frameworks to provide a clearer knowledge structure: SD-Access: Renaming and refining the six sub-tasks: Underlay/Overlay/Fabric Design, Deployment, Border Handoff, and Segmentation; adding new design requirements for "Fabric-in-a-Box". Expansion of multi-site architectures, adding new border handoff options for SD-WAN Transport and IP Transport. Strengthening "Assurance" capabilities, adding new monitoring and troubleshooting requirements for Network and Client Health (360). SD-WAN: Reorganization of the Controller Architecture (Management/Orchestration/Control Planes), adding new coverage for Cloud Edge deployments (AWS/Azure/Google Cloud). Expansion of OMP protocol content, adding new features for BGP AS-path propagation and SDA integration. Refinement of policy classifications: Centralized Policies (Data Policies, Application-Aware Routing Policies, Control Policies) and Localized Policies (Access Lists, Route Policies). (3) Transport Technologies and Solutions (10%) Content Streamlining: Removal of static point-to-point GRE tunnels, Extranet route leaking in MPLS VPNs, per-tunnel QoS in DMVPN, and FlexVPN. Low-priority topics, such as use-case identification, have been de-emphasized. Focus on Core Competencies: Retained commonly used enterprise networking technologies—including basic MPLS operations, L3VPNs, and DMVPN Phase 3 dual-hub troubleshooting—to ensure that exam content remains highly relevant to real-world job tasks. (4) Infrastructure Security and Services (15%) Structural Adjustment: Content regarding IEEE 802.1X port authentication has been migrated from this domain to the SD-Access section, better reflecting the modern networking trend of converging identity authentication with software-defined networking. Other Content: Remains largely unchanged; only minor refinements have been made to specific task descriptions to enhance the clarity of the exam topics. (5) Infrastructure Automation and Programmability (20%) New Data Encoding Formats: YAML and the Jinja2 templating engine have been added as core exam topics—joining JSON and XML—to reinforce skills related to automated configuration file generation. Removal of Obsolete API Interactions: Tasks involving interactions with the Cisco IOS XE API (Task 5.3) have been removed, reflecting the industry trend of network automation shifting toward more centralized controller APIs. Enhanced Controller API Focus: The scope of exam topics covering interactions with the vManage API and DNA Center API has been expanded to include the use of the Python `requests`library and the Postman tool, covering operations related to both monitoring and configuration endpoints.   3. Software Version Upgrades Cisco IOS XE: Upgraded from 17.3 to 17.9, supporting new features such as OSPFv3 Address Families and Multi-Chassis EtherChannel. Cisco SD-WAN: Software updated to version 20.9, accommodating the new controller architecture and OMP protocol features. Cisco DNA Center: Updated to version 2.3, supporting SD-Access Assurance capabilities and enhanced device discovery and management functions. Component Removal: No hardware components have been removed; core devices—including the existing Catalyst 9000 series switches and ISR 4000 series routers—remain in place.   4. Recommended Preparation Strategies (1) Time Planning (8–12 Weeks) Weeks 1–2: Conduct a comprehensive review of the exam topic change list, identify and mark newly added, removed, or replaced exam objectives, formulate a personalized study plan, and focus specifically on structural changes within SD-Access/SD-WAN and new content in the Automation domain. Weeks 3–5: Focus on mastering the three key areas of major adjustment; complete at least three full-scale lab practice sessions. Weeks 6–8: Consolidate your understanding of original core exam topics; conduct full-scope mock exams utilizing the latest software versions. Weeks 9–12: Intensify training on your identified weak areas; complete at least five full sets of mock lab exercises based on the new exam version to familiarize yourself with the exam pace and time management. (2) Recommended Resources Official Resources: Cisco Official CCIE EI v1.1 Exam Blueprint, v1.1 Release Notes, and documentation for Cisco DNA Center 2.3 and SD-WAN 20.9. Practical Resources: Cisco DevNet Sandbox, Cisco Modeling Labs (CML) version 2.0 or higher. Training Resources: Select SPOTO training courses that have been updated to version v1.1, with a specific focus on the restructured SD-Access/SD-WAN modules and the newly added Automation content.   Summary: The updates to the CCIE EI LAB v1.1 exam—specifically the changes to the lab scenarios—constitute minor, targeted adjustments. Their primary objective is to retire obsolete technologies, optimize the structure of exam topics, and place greater emphasis on assessing skills that are highly relevant to actual enterprise requirements. SPOTO’s courses and question banks have all been updated to the latest version, incorporating all new content. We have designed a scientifically structured study plan to ensure you achieve outstanding results in the new version of the exam!

Table of Contents1. Overview of Core Exam Updates2. Written Exam (350-901 AUTOCOR v2.0): Core Content Adjustments3. Written Exam (350-901 AUTOCOR v2.0) Core Content Updates4. Lab Exam (CCIE Automation v1.1) Core Focus Areas5. The Core Impact of the Exam Update6. Comprehensive Adjustment of Exam Preparation Strategies7. Recommended Core Learning Resources 1. Overview of Core Exam Updates The DevNet Expert certification has been officially renamed CCIE Automation, effective February 3, 2026. The Lab Exam remains at version 1.1; only the name has changed, with no substantive adjustments made to the exam content or blueprint. SPOTO courses and question banks have already been updated to reflect the latest version. The final date to take the original DevNet Expert exam is February 2, 2026; the new name will be fully adopted starting February 3. The entire DevNet certification track has been renamed Cisco Automation, establishing a complete hierarchical structure: CCNA Automation → CCNP Automation → CCIE Automation.   2. Written Exam (350-901 AUTOCOR v2.0): Core Content Adjustments For the written component, the 350-901 AUTOCOR exam (formerly DEVCOR) has a duration of 120 minutes, and the registration fee is $400. The Lab Exam lasts 8 hours and costs $1,600; it is divided into a Design module and a Deploy/Operate/Optimize module, comprehensively assessing practical, real-world skills. Candidates who pass both the AUTOCOR written exam and the Lab Exam will earn the CCIE Automation certification.   3. Written Exam (350-901 AUTOCOR v2.0) Core Content Updates (1) Updates to the Five Key Modules Infrastructure as Code (IaC) (30%): Enhanced coverage of AI-driven automation, LLM network agents, and MCP server applications; expanded coverage of advanced Git operations (cherry-pick, reset, revert) and CI/CD pipeline troubleshooting. Network Programmability & Automation (25%): Added in-depth coverage of Cisco NSO (Network Services Orchestrator); expanded practical application of YANG models (OpenConfig/IETF) and NETCONF/RESTCONF; enhanced coverage of the pyATS testing framework and model-driven telemetry. Container Technologies (10%): Focused on Docker and Kubernetes network integration; added coverage of designing and deploying containerized automation solutions. Security (15%): Added coverage of OAuth 2.0 and key management practices; enhanced coverage of applying OWASP security principles within automation scripts. Automation Operations (20%): Expanded practical exercises using Cisco Modeling Labs (CML); added coverage of network automation log collection, troubleshooting, and performance optimization. (2) Key Technology Updates AI and Automation Convergence: Added coverage of building and applying Large Language Model (LLM) network agents, assessing how to leverage AI to enhance network automation efficiency. Toolchain Expansion: Added core examination content for Terraform and Cisco NSO, positioning them alongside Python and Ansible as core automation tools; enhanced troubleshooting coverage for GitLab CE CI/CD pipelines, including scenarios involving missing dependencies, version conflicts, and test failures. Cisco Platform Integration: Expanded practical application of APIs across Cisco platforms, including IOS XE, ACI, Meraki, Catalyst Center, and SD-WAN; added coverage of Webex messaging integration and automation, assessing how to utilize APIs to facilitate network event notifications and responses.   4. Lab Exam (CCIE Automation v1.1) Core Focus Areas (1) Weighting of the Eight Core Domains Software Design, Development, and Deployment (20%): Designing hybrid, public, or private cloud automation solutions, while considering factors such as maintainability, high availability, and scalability. Automation Frameworks and Tools (20%): Practical application of Ansible, Terraform, Python, NETCONF/RESTCONF, and YANG models. Network Device Programmability (15%): Cisco platform API calls, pyATS testing, and model-driven telemetry. Containers and Orchestration (10%): Automated deployment and management of Docker and Kubernetes networking environments. Security and Compliance (10%): Automation script security, key management, access control, and compliance checks. Automation Operations (10%): Monitoring, log collection, troubleshooting, and performance optimization. Cisco Platform Integration (10%): Automated configuration and management of platforms such as ACI, SD-WAN, and DNA Center. AI and Automation (5%): Application of LLMs as network agents, and AI-driven fault diagnosis and remediation. (2) Lab Exam Module Structure Design Module (3 hours): Analyzing requirements and designing the architecture for automation solutions, including tool selection, deployment models, security policies, etc. Deploy / Operate / Optimize Module (5 hours): Writing automation scripts and Playbooks to implement batch configuration and management of devices. Building CI/CD pipelines to enable automated testing and deployment. Configuring containerized environments to facilitate automated application deployment. Troubleshooting and performance optimization to ensure the stable operation of the automation system.   5. The Core Impact of the Exam Update Short-term Impact: The written exam now includes new content on AI and advanced automation tools; the difficulty has increased slightly, requiring candidates to acquire additional knowledge regarding new technologies such as LLMs, Terraform, and NSO. The structure of the lab exam remains unchanged, but it now demands a higher level of proficiency with tools and practical application skills—particularly regarding the use of AI and container technologies. The period from February 3 to May 3, 2026, serves as a transition phase; during this time, the pass rate may decline by 5–10% as candidates require time to adapt to the new exam titles and content adjustments. Long-term Impact: The core body of knowledge remains stable, allowing the foundational preparation built for the previous DevNet Expert certification to be directly applied to the CCIE Automation certification. The exam is now more closely aligned with actual industry demands; the integration of AI and automation has become an essential skill set for network engineers, thereby significantly enhancing the value of the certification. As preparation resources become more comprehensive, the pass rate is expected to gradually return to historical levels (approximately 20–30%).   6. Comprehensive Adjustment of Exam Preparation Strategies (1) Focus Areas for Written Exam Preparation Prioritize Mastering New Content: Systematically study the construction and application of LLM network agents, mastering how to leverage AI to simplify network automation tasks. Deeply research the core concepts and practices of Terraform and Cisco NSO, acquiring proficiency in Infrastructure as Code (IaC) and network service orchestration capabilities. Strengthen advanced Git operations and CI/CD pipeline troubleshooting skills to enhance the stability and maintainability of automation systems. Consolidate Core Knowledge: Review Python scripting, with a specific focus on Cisco platform API calls and NETCONF/RESTCONF configuration. Master YANG models (OpenConfig/IETF) and network device programmability to improve the compatibility of automation scripts. Reinforce container technologies (Docker/Kubernetes) and network integration practices to align with cloud-native automation trends. (2) Focus Areas for Lab Exam Preparation Enhancing Tool Proficiency: Practice writing Ansible Playbooks daily, focusing on batch configuration, troubleshooting, and report generation for Cisco devices. Master the integration of Terraform with Cisco platforms to implement Infrastructure as Code deployments. Study Cisco NSO in depth, mastering network service definition, template design, and service deployment workflows. Strengthening Practical Capabilities: Utilize Cisco Modeling Labs (CML) to build complex network environments for testing and validating automation scripts. Simulate real-world failure scenarios to practice troubleshooting and restoring automation systems. Participate in open-source community projects to gain practical experience in automation projects and enhance real-world skills. AI Automation Practices: Learn to use LLM tools to assist in writing automation scripts, thereby boosting development efficiency. Explore AI-driven network fault diagnosis and remediation to enhance the intelligence of automation systems.   7. Recommended Core Learning Resources CCIE Automation Official Exam Blueprint: Understand the latest exam scope and requirements. AUTOCOR Official Learning Path: Systematically study the core content for the written exam. Cisco DevNet Community: Access the latest documentation on automation technologies, practical use cases, and community support. The newly updated CCIE Automation training courses on the SPOTO platform can save you time and help you master the critical exam topics.   Summary: The latest changes to the CCIE Automation exam primarily involve name changes; the content of the Lab Exam and the Exam Blueprint remain stable. The Written Exam now includes new content regarding AI and advanced automation tools. While the overall difficulty has increased slightly, the core knowledge framework remains unchanged. SPOTO's courses and question banks have been updated to the latest versions, aligning perfectly with the exam requirements to help you grasp the core focus areas and pass the exam successfully on your first attempt!

Table of Contents1. Core Question Changes Overview2. Detailed Changes in Seven Major Areas3. Hardware and Software Environment Changes4. Core Impact of Exam Changes5. SPOTO Recommended Study Timeline (8-12 Weeks) The latest version of the CCIE DC LAB exam (v3.1) officially took effect on February 24, 2026, and the exam will fully adopt the new question bank from February 26, 2026. SPOTO courses and question banks have been upgraded according to the latest version to adapt to the latest exam question types and content.   1. Core Question Changes Overview Version Upgrade: Upgraded from v3.0 to v3.1, a minor version revision (overall content adjustment <20%), using Cisco's newly launched agile revision process to quickly adapt to industry technology changes. Exam Format: No structural changes; still an 8-hour lab exam, including a design module (3 hours) and a deployment/operation/optimization module (5 hours), maintaining the original exam process and scoring criteria. Core Adjustment Principles: The weight of the seven core areas remains unchanged; outdated technologies are being phased out, and mainstream technologies are being added to ensure the exam is synchronized with actual industry needs.   2. Detailed Changes in Seven Major Areas (1) Data Center L2/L3 Connections (20%) New Exam Points: BGP adds Local-AS number configuration and application to resolve AS number conflicts and routing control scenarios Others: Existing exam points such as path selection, internal/external peering, route reflectors, peer templates, and multi-hop EBGP remain unchanged; only the descriptions are optimized for clarity (2) Data Center Architecture Fundamentals (15%) New Exam Points: Physical architecture adds Multi-tier architecture design requirements The original Fabric policies are renamed ACI policies, and a new Fabric policies sub-item is added. Monitoring policies are integrated into access and fabric policies. The original Tenant Policies are renamed Overlay policies, and Endpoint Security Groups (ESGs) vzAny functionality is added for examination. Software Upgrade: ACI version updated to v5.x, adapting to the new policy model (3) Data Center Fabric Connections (15%) Complete Restructuring: Fully adapts to ACI and VXLAN EVPN dual architectures. The structural adjustments are as follows: Added Overlay Fabrics sub-item (3.1), including ACI and VXLAN EVPN L3Out renamed to External connectivity, expanding its applicability to dual architectures Transit Routing integrated into BGP sub-item Virtual POD removed (no longer under development), Multi-Site optimized for dual architectures, ACI remote leaf added for examination Overlays sub-item removed (3.4), content integrated into the new structure (4) Data Center Computing (15%) Core replacement: HyperFlex hyperconverged solution replaced by Nutanix (Cisco no longer develops HyperFlex) Management extension: Compute management sub-item added (4.3), including UCS Manager and Intersight management platforms Generalization adjustment: Computing policies / configuration files / templates (4.1.a) generalized, adapting to both UCSM and Intersight (5) Data Center Storage Protocols and Features (10%) Major adjustment: All iSCSI-related examination points removed; RoCE v2 over IP networks examination scope significantly expanded Added details: RoCE v2 Added key features such as DCQCN congestion control, PFC (priority flow control), and ECN (explicit congestion notification) to adapt to the high throughput and low latency requirements of AI/ML clusters (6) Data Center Security and Network Services (10%) No major structural changes, only detailed (R) SPAN/ERSPAN specification descriptions, other test points remain unchanged (7) Data Center Automation and Orchestration (15%) Complete overhaul: This is the part with the largest adjustment in this field, almost completely restructured: Script tasks (7.1) added Terraform support, alongside Python and Ansible Orchestration tools (7.2) Completely replaced: Added Nexus Dashboard (including Orchestrator v4.x, Fabric Controller v12.x, Insights 6.x) Added Cloud Network Controller (formerly Cloud ACI/APIC) Removed DCNM (renamed NDFC), UCSD, CloudCenter Suite (all no longer under development) The original Intersight Content (7.2.c) is transferred to the computing domain (4.3)   3. Hardware and Software Environment Changes (1) Hardware Removal Nexus 2348 Fabric Extender Cisco HyperFlex HX220c M5, replacing HyperFlex with Nutanix in the corresponding computing domain (2) Software Upgrade Nexus 9000 NX-OS upgraded from 9.x to 10.x, supporting new BGP features and RoCE v2 enhancements ACI upgraded from 4.x to 5.x, adapting to the new ACI policy model and ESGs vzAny functionality Nexus Dashboard upgraded to 3.x, adding Orchestrator, Fabric Controller, and Insights service configuration and maintenance Components DCNM/UCSD/CloudCenter were removed; outdated tools are no longer considered, and the entire system is now based on NDFC and Nexus Dashboard.   4. Core Impact of Exam Changes Mastery of automation and cloud-native technologies will become a core indicator differentiating candidates' abilities. Short-term challenges: The automation domain has become significantly more difficult, with the addition of Terraform and Nexus Dashboard, requiring mastery of the new toolchain. The storage domain has shifted its focus from iSCSI to RoCE v2, requiring relearning of AI/ML cluster network characteristics. The computing domain is replacing hyperconverged solutions; Nutanix configurations differ significantly from HyperFlex, requiring additional learning. In the first 3-6 months after the new exam version is implemented, the pass rate may slightly decrease (approximately 5-10%) as candidates need time to adapt to the new exam content and tools. Long-term advantages: The overall adjustment is small (<20%), the core knowledge system remains stable, and there is no need to completely overturn existing preparation foundations. Outdated technologies are eliminated, reducing ineffective learning content and focusing more on current mainstream enterprise architectures. Detailed descriptions of exam points reduce ambiguity and improve exam fairness. As preparation resources improve and candidates adapt, the pass rate will gradually recover to the historical level of 20-30%, comparable to version v3.0.   5. SPOTO Recommended Study Timeline (8-12 Weeks) The new exam emphasizes practical operational scenarios, strengthening troubleshooting training and improving problem localization and resolution capabilities. The SPOTO course has been updated to version 3.1 based on the latest study strategies, prioritizing key areas and focusing on scoring points. Weeks 1-2: Comprehensively review the list of changed questions, mark added/deleted/replaced test points, and develop a personalized study plan. Weeks 3-5: Focus on mastering the three core adjustment areas (automation, storage, and computing), completing at least 3 full lab exercises. Automation is key to differentiating yourself; it is recommended to dedicate at least 2 hours daily to practicing Terraform and Nexus Dashboard operations. Weeks 6-8: Consolidate existing core test points, conduct full-domain mock tests using the new software version, clearly distinguish the differences between old and new versions, and avoid confusing outdated technologies. Weeks 9-12: Strengthen weak areas, complete at least 5 full sets of the new LAB mock tests, and familiarize yourself with the exam rhythm.   Summary: The changes to the CCIE DC LAB v3.1 exam are targeted adjustments, with the core purpose of eliminating outdated technologies and introducing mainstream ones, making the exam more aligned with actual business needs. The SPOTO curriculum is updated promptly to the latest version. We have made the latest preparation adjustments, prioritizing the learning of new tools and technologies while maintaining the original core knowledge system, ensuring you are fully prepared for the new exam.

Table of Contents1. Basic Exam Information2. Weighting of Five Core Areas3. Key Area Changes3. Comprehensive Guide to Adjusting Test Preparation Strategies On April 17, 2026, Microsoft released a significant update to the AZ-104 (Microsoft Azure Administrator Associate) exam to reflect the latest technological developments and industry practice changes in Azure management. This update is not a complete overhaul, but rather a refined adjustment to existing content, strengthening hybrid cloud management, AI service integration, cost optimization, and automation capabilities to ensure the certification remains aligned with actual enterprise needs.   1. Basic Exam Information Exam Code: Azure Administrator Associate (AZ-104) Exam Duration: 180 minutes Number of Questions: Approximately 40-60 questions, including multiple choice, case study, and practical questions Passing Score: 700 out of 1000 Exam Fee: $165 Recommended Experience: At least 6 months of Azure management experience; AZ-900 certification is recommended first. Certificate Validity: 1 year; requires a free online assessment to maintain validity. Core Positioning: A foundational expert certification in Azure management, and an important prerequisite for AZ-400 and AZ-305.   2. Weighting of Five Core Areas Managing Azure Identity and Governance: Emphasis on Microsoft Entra ID functionality (20-25%) Implementing and Managing Storage: Adding storage security and AI data storage optimization (15-20%) Deploying and Managing Azure Compute Resources: Adding Azure Container Application and AI Service management (20-25%) Implementing and Managing Virtual Networks: Enhancing Azure Arc Hybrid network connectivity (15-20%) Monitoring and maintaining Azure resources: New AI-driven monitoring and troubleshooting (10-15%)   3. Key Area Changes Key changes in the Azure Identity and Governance area (20-25%)： (1) Enhanced Microsoft Entra ID Added consideration of external Microsoft Entra IDs, including B2B/B2C identity management and guest user access control Enhanced the implementation requirements for Microsoft Entra federated authentication, including integration with third-party identity providers Added configuration and use of Microsoft Entra ID protection features, such as risk detection and conditional access policy optimization Removed consideration of the traditional Azure AD PowerShell module, fully transitioning to the Microsoft Graph PowerShell SDK (2) Governance Optimization Added implementation of Azure Policy as Code, using Bicep or ARM templates to deploy and manage policies Enhanced Azure cost management features, including budget settings, cost alerts, and advanced applications recommended by Advisors Added advanced configuration of management group hierarchies, such as permission inheritance and policy allocation optimization Core Updates in the Deployment and Management of Azure Compute Resources area (20-25%)： (1) AI Service Integration Added basic consideration of Azure AI service management, including Azure OpenAI Deployment and Access Control of Services and Cognitive Services Enhance the application of Azure Copilot in management tasks, such as resource querying, troubleshooting, and automation recommendations Increase understanding of AI-driven virtual machine optimization, such as autoscaling and performance tuning recommendations (2) Hybrid Cloud Management Add implementation and management of Azure Arc for managing resources in on-premises and multi-cloud environments Enhance advanced configuration of Azure virtual machine scale sets, including autohealing and rolling update policies Add deployment and management of Azure Private Servers to meet compliance and security requirements Implement and manage updates in the virtual network domain (15-20%)： (1) Network Security Enhancements Add examination of advanced Azure Bastion features, including multi-factor authentication and session recording Enhance the configuration and management of Azure Firewall policies, including application rules and network rule optimization Add implementation and monitoring of Azure DDoS protection standards, including traffic analysis and attack mitigation strategies (2) Hybrid Connectivity Optimization Add deployment and management of Azure ExpressRoute Direct to meet high bandwidth and low latency connectivity requirements Enhance advanced configuration of Azure VPN gateways, including BGP routing and policy-based VPNs Add support for Azure virtual WAN implementation simplifies network connectivity in multi-region and hybrid environments. Updates in the monitoring and maintenance of Azure resources (10-15%): (1) AI-driven monitoring Added AI feature exploration in Azure Monitor, including intelligent detection and anomaly analysis. Enhanced advanced applications of Kusto Query Language (KQL), including complex query writing and performance optimization. Increased in-depth use of the Azure Advisor recommendation engine, including automatic repair and optimization suggestion implementation. (2) Backup and recovery optimization Added use of Azure Backup Center for centralized management of backup resources across regions and subscriptions. Enhanced disaster recovery strategies for Azure Site Recovery, including RTO/RPO optimization and failover drills. Added implementation of Azure Backup Policy as Code, deploying backup strategies using Bicep or ARM templates. Other important updates: (1) Storage implementation and management Added advanced configuration of Azure storage account tiers, including automatic conversion between cold and archive tiers. Enhanced implementation of Azure File Sharing SMB Multichannel functionality to improve file transfer performance. Added support for Azure... Advanced policy configuration for storage lifecycle management, including tag-based automatic migration (2) Key updates across domains Unified automation tools: Remove traditional configuration management tools such as Chef/Puppet and fully transition to Azure Automation and Ansible integration IaC enhancement: Strengthen the application of Bicep in all resource deployments, including module reuse and conditional deployment Cost optimization: Add consideration of usage strategies for Azure Spot virtual machines and Azure Savings Plan to reduce computing costs   3. Comprehensive Guide to Adjusting Test Preparation Strategies Based on the updates mentioned above, the following are targeted suggestions for adjusting your test preparation strategies to help you effectively prepare for the new AZ-104 exam in 2026. (1) Phased Learning Plan (8-10 weeks) Phase 1: Foundation Consolidation (2-3 weeks) Core Concept Review: Review the Azure infrastructure and service model, focusing on new naming conventions and features such as Microsoft Entra ID and Azure Arc. Tool Environment Preparation: Create a free Azure account, familiarize yourself with the Azure portal and Cloud Shell operations, install Azure PowerShell and CLI, practice basic command-line operations, and configure the Microsoft Learn sandbox environment for practical exercises. Official Documentation In-depth Reading: Read through the Microsoft Learn AZ-104 Learning Guide and mark the updated content. Phase 2: Domain Intensive Study (4-5 weeks) Study in depth according to the exam domain, focusing on the updated content: Identification and Governance Domain: Dedicate 1 week to mastering advanced features and governance strategies of Microsoft Entra ID. Compute and Container Domain: Dedicate 1.5 weeks to mastering container application and AI service management. Network and Storage Domain: Dedicate 1 week to each, focusing on hybrid network and storage security. Monitoring and Maintenance Domain: Dedicate 0.5 weeks to mastering AI monitoring and KQL Query Writing Phase 3: Practical Reinforcement (2 weeks) Complete Project Practice: Build an end-to-end Azure management solution, including: Identity Management (Microsoft Entra ID Configuration) Compute Resource Deployment (Virtual Machines, Container Applications, Functions) Network Configuration (VNet, NSG, Azure Arc) Storage Management (Blob, File Storage, Security Configuration) Monitoring and Maintenance (Azure Monitor, Automation) Troubleshooting Exercises: Intentionally introduce common configuration errors to practice rapid diagnosis and repair skills. Phase 4: Simulated Sprint (1 week) Official Simulated Test: Complete the free practice assessment provided by Microsoft Learn Time Management Training: Simulate the exam environment and practice completing all questions within 180 minutes Weakness Reinforcement: Conduct final reinforcement for weak areas, focusing on updated content. (2) Recommended Core Learning Resources Microsoft Learn AZ-104 Learning Path: The updated official learning path, perfectly matching the exam blueprint. Azure Documentation: Focusing on Microsoft Entra ID, Container Applications, and AI Services. Azure Quickstart Templates: Basic templates for practicing deploying various Azure resources. Third-party high-quality resources such as SPOTO's updated AZ-104 complete learning path (updated to version 2026) can also greatly assist your learning.   Summary: The 2026 AZ-104 exam update reflects the latest trends in Azure management practices, with a focus on strengthening the assessment of hybrid cloud management, AI service integration, security governance, and automation capabilities. SPOTO exam preparation plans are adjusted based on updates, focusing on key areas such as Microsoft Entra ID, Azure Container Applications, Azure Arc, and AI service management. This balanced approach between theoretical learning and practical exercises will help you achieve rapid improvement!