Pass CompTIA Data+ Exam 2026 on Your First Try with DA0-002 Exam Questions and Answers!

The following topics are the official exam objectives published by CompTIA for the Data+ (DA0-002) certification exam.

1.0 Data Concepts and Environments (20%)
1.1 Explain data concepts: Database types, data structures, file extensions, and data types.
1.2 Identify data sources: Databases, APIs, website data, files, logs and repositories.
1.3 Recognize infrastructure concepts: Cloud, on-premise, storage, and containerization.
1.4 Identify data tools: Coding environments, BI software, and analysis platforms.
1.5 Understand AI concepts: Identify AI models, natural language processing, and robotic automation.

2.0 Data Acquisition and Preparation (22%)
2.1 Use data acquisition methods: Data integration and queries to gather and combine data.
2.2 Perform data exploration: Find missing values, duplication, redundancy, or outliers.
2.3 Apply data transformation: Cleansing, merging, parsing, and formatting data.

3.0 Data Analysis (24%)
3.1 Communicate analysis results: Select methods for different audiences.
3.2 Select statistical methods: Apply basic statistical techniques to data.
3.3 Troubleshoot analysis issues: Use tools and resources to resolve problems.

4.0 Visualization and Reporting (20%)
4.1 Create effective visuals: Use charts, maps, tables, and design elements.
4.2 Deliver reports: Provide dashboards or summaries using appropriate methods.
4.3 Validate reporting accuracy: Apply validation and review to solve reporting issues.

5.0 Data Governance (14%)
5.1 Explain data management practices: Documentation, versioning, and data lineage.
5.2 Summarize compliance requirements: Retention, audits, and regulations.
5.3 Compare privacy and protection strategies: Access control, encryption, and masking.
5.4 Implement quality assurance: Profiling, monitoring, and testing for data quality.

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To earn the CompTIA Data+ certification, you need to pass the CompTIA DA0-002 exam. Since the exam verifies your competency across five core domains—from data concepts to governance—you need to dedicate focused study time to each area. The recommended experience for this exam is 18–24 months in a data analyst or similar role, with exposure to databases, analytical tools, basic statistics, and data visualization.

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