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Free ISACA AAIA Practice Questions & Answers 2026 Part2 | ISACA Advanced in AI Audit

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Question #1
Which of the following could be used to BEST identify underlying patterns in control effectiveness within unlabeled data elements? When data is 'unlabeled' (meaning the outcomes or 'answers' are not provided), supervised methods like Random Forest (Option D) or XGBoost (Option A) cannot be used. 'Unsupervised learning' is specifically designed to discover 'underlying patterns,' clusters, or latent structures in data without human guidance. For an auditor, unsupervised techniques (like clustering) are invaluable for exploratory analysis, such as grouping similar control failures or identifying unusual transactional behaviors that have not yet been categorized as fraudulent or legitimate.
A. XGBoost learning
B. Reinforcement learning (RL)
C. Unsupervised learning
D. Random forest
View answer
Correct Answer: C
Question #2
Why should organizations implement human-in-the-loop (HITL) processes in critical AI systems?
A. To support ethical oversight and manual intervention
B. To remove liability from the organization
C. To fully automate decisions
D. To bypass explainability requirements
View answer
Correct Answer: A
Question #3
During an audit of an investment organization ' s AI-powered software, an IS auditor identifies a potential security risk. What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?
A. xcessive reliance on AI-generated insights
B. otential business disruptions
C. nauthorized data disclosure
D. ata contamination due to biased AI model outputs
View answer
Correct Answer: C
Question #4
Which of the following is the PRIMARY purpose of an AI acceptable use policy?
A. stablishing guidance on the ethical use of AI
B. utlining AI usage monitoring procedures
C. ducating employees on where to find and how to use AI tools
D. xplaining the distinction between different types of AI
View answer
Correct Answer: A
Question #5
Which AI model type is most appropriate for generating realistic synthetic data that mimics training distributions?
A. Convolutional neural networks (CNNs)
B. Recurrent neural networks (RNNs)
C. Generative adversarial networks (GANs)
D. Decision trees
View answer
Correct Answer: C
Question #6
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?
A. sing only data from the last six months to one year to avoid outdated information affecting the credit score
B. nsuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions
C. btaining and validating the credit scores from third-party agencies to cross-check AI-generated results
D. llowing the AI to operate fully autonomously to prevent processing delays
View answer
Correct Answer: B
Question #7
Which of the following is the PRIMARY objective of AI governance?
A. Implementing compliance and ethics controls for AI initiatives
B. Promoting a positive return on investment (ROI) from AI projects
C. Defining clear roles and responsibilities for AI development, use, and oversight
D. Ensuring controls over AI are designed well and operate effectively
View answer
Correct Answer: C
Question #8
Which of the following is the GREATEST risk associated with using AI in audit planning?
A. Increased planning costs
B. Scope creep
C. Incomplete data
D. Limited knowledge
View answer
Correct Answer: C
Question #9
A bank uses a video-based know your customer (KYC) verification process. Cybercriminals exploit thisprocess by using deepfake technology to impersonate bank customers. Which of the followingcountermeasures is the BEST way for the bank to mitigate this risk?
A. equesting additional identity and address documents for verification
B. everaging AI-based liveness detection during video verification
C. ncrypting all customer data and communication
D. iscontinuing the use of the video-based verification process
View answer
Correct Answer: B
Question #10
A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?
A. Implementing strict data access controls and conducting security tests
B. Encrypting stored data to reduce exposure and log access
C. Updating the AI model with new data and tracking changes
D. Anonymizing patient data and performing regular quality checks
View answer
Correct Answer: D
Question #11
A generative AI system has a validation control in place to reject inappropriate questions by checking them against built-in ethical standards. Which of the following enables malicious actors to circumvent this control through prompt engineering?
A. Submitting the same questions in a foreign language translated by another AI-based system
B. Presenting theoretical situations to justify the reason for asking the questions
C. Asking the same questions later when the algorithm has changed after further learning
D. Randomly placing keywords unrelated to the main topic
View answer
Correct Answer: B
Question #12
An IS auditor is evaluating an organization’s incident management program to ensure it is sufficiently prepared to manage AI-related incidents. Which of the following is MOST important for the auditor to validate?
A. The program includes processes to respond to AI model drift and data integrity attacks
B. The program prioritizes incidents based on alignment with industry leading practices
C. The program uses past AI-related incidents and resolutions to categorize current incidents
D. The program mandates retraining AI systems after incidents are investigated
View answer
Correct Answer: A
Question #13
An IS auditor is assessing the implementation of AI tools for evidence collection involving multiple data sources. Which of the following outcomes BEST indicates that AI-driven evidence collection has improved the audit process?
A. limination of human judgment in data and evidence analysis
B. bility to rely on unstructured data with minimal cleansing
C. educed time spent gathering data with fewer errors in evidence compilation
D. xtended reporting timelines that allow for AI model retraining
View answer
Correct Answer: C
Question #14
An organization implements a neural network-based AI system for credit scoring that processes extensive input data from multiple sources. Which of the following represents the GREATEST risk if input validation and anomaly detection controls are inadequate?
A. ncreased computational cost due to redundant input checks
B. elayed model training cycles from excessive data preprocessing
C. verfitting caused by excessive anomaly filtering
D. iased inputs that can affect credit decisions
View answer
Correct Answer: D
Question #15
An IS auditor identifies that an AI model occasionally invents nonexistent medical test results. Which of the following recommendations would BEST mitigate this risk?
A. ncreasing the temperature
B. nabling frequency penalties on rare words
C. ncreasing the model context
D. ecreasing the top-p sampling
View answer
Correct Answer: D
Question #16
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of thefollowing would be the MOST effective way for the auditor to use generative AI?
A. eveloping action items discussed in closing meetings for management action plans
B. eveloping a draft of an executive summary based on detailed findings and audit scope
C. evising audit conclusions with precise verbiage to describe the audit observations
D. evising audit background and scope information based on new information from management
View answer
Correct Answer: B
Question #17
The BEST way to prevent sensitive information disclosure by large language model (LLM) chatbots is through:
A. anual monitoring
B. ata sanitization
C. ata masking
D. ccess controls
View answer
Correct Answer: B
Question #18
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability ofgenerative AI models?
A. ifferences of opinion regarding model types
B. ifficulties in preventing the input of biased data
C. erformance issues due to excessive computation
D. lgorithms changing as AI continues to learn
View answer
Correct Answer: D
Question #19
Which of the following types of AI is best suited for solving problems involving sequential decision-making under uncertainty?
A. Rule-based systems
B. Natural language processing
C. Supervised learning
D. Reinforcement learning
View answer
Correct Answer: D
Question #20
What is a primary objective during the "identify and report" phase of an AI-specific incident response plan?
A. Update all training datasets
B. Assign financial penalties to users
C. Terminate all AI model deployments
D. Detect anomalies or unexpected model outputs
View answer
Correct Answer: D
Question #21
Which of the following is the PRIMARY objective of AI governance?
A. mplementing compliance and ethics controls for AI initiatives
B. romoting a positive return on investment (ROI) from AI projects
C. efining clear roles and responsibilities for AI development, use, and oversight
D. nsuring controls over AI are designed well and operate effectively
View answer
Correct Answer: C
Question #22
Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization's business objectives?
A. AI model vulnerability assessment
B. AI change management requests
C. AI model inventory
D. AI acceptable use policy
View answer
Correct Answer: C
Question #23
Which elements are fundamental to a robust AI policy framework in a regulated enterprise environment? (Choose two)
A. Clearly defined procedures for bias mitigation
B. Open-source AI toolkit recommendations
C. Monitoring requirements for third-party models
D. Flexible data-sharing protocols with no restrictions
View answer
Correct Answer: AC
Question #24
For a sales promotion, an AI system sorts customer attributes into several categories by analyzingtransaction history. Verifying which of the following would BEST validate the effectiveness of thisprocess?
A. tress tests are regularly conducted to maintain consistent AI performance
B. he applied methodology adequately reflects business objectives
C. ensitive attributes are converted to other data types prior to input
D. ampling of AI output is conducted to identify unusual decisions
View answer
Correct Answer: B
Question #25
Why are AI systems particularly vulnerable to model inversion attacks?
A. AI models are immune to external probing
B. Attackers can infer sensitive input data from model outputs
C. Inversion attacks encrypt datasets to hide sensitive variables
D. They only target traditional software, not AI
View answer
Correct Answer: B
Question #26
An IS auditor is evaluating an organization’s incident management program to ensure it is sufficiently prepared to manage AI-related incidents. Which of the following is MOST important for the auditor to validate?
A. he program includes processes to respond to AI model drift and data integrity attacks
B. he program prioritizes incidents based on alignment with industry leading practices
C. he program uses past AI-related incidents and resolutions to categorize current incidents
D. he program mandates retraining AI systems after incidents are investigated
View answer
Correct Answer: A
Question #27
Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?
A. ata performance metrics
B. se of open-source intellectual property
C. odel runtime efficiency logs
D. ata usage agreements
View answer
Correct Answer: D
Question #28
An organization is using information gathered from customer accounts to train its AI chatbot. Which of the following is the GREATEST risk associated with this practice?
A. ransparency
B. I model hallucinations
C. I bias
D. isclosure of personal information
View answer
Correct Answer: D
Question #29
Which of the following is the MOST important consideration when auditing the data used for training an AI model?
A. Timeliness
B. Predictability
C. Representativeness
D. Understandability
View answer
Correct Answer: C
Question #30
Which roles are commonly involved in executing an AI-specific incident response plan? (choose two)
A. AI ethics officer
B. Data scientists
C. Corporate event planner
D. Digital marketing analysts
View answer
Correct Answer: AB
Question #31
An IS auditor is performing an inventory audit for a manufacturing organization. Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?
A. Natural language processing
B. Speech modeling
C. Robotic process automation (RPA)
D. Computer vision
View answer
Correct Answer: D
Question #32
An organization deploys an AI recruitment platform to screen job applicants. The IS auditor identifies that the platform’s decisions may be influenced by model bias. Which of the following risk mitigation strategies is BEST for the auditor to recommend?
A. Implement a process to periodically test the AI system for biases and adjust parameters as needed
B. Suspend the use of the AI system until the training data can be verified for fairness and compliance
C. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized
D. Retrain the AI model using an external data set certified for inclusivity and fairness
View answer
Correct Answer: A
Question #33
When auditing a machine learning (ML) solution, false positives can BEST be assessed by examining the level of:
A. ccuracy
B. ompleteness
C. ecall
D. recision
View answer
Correct Answer: D

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