ISACA AAIA Certification Sample Questions

AAIA Dumps, AAIA PDF, AAIA VCE, ISACA Advanced in AI Audit VCE, ISACA Advanced Audit-Specific Artificial Intelligence PDFThe purpose of this Sample Question Set is to provide you with information about the ISACA Advanced in AI Audit (AAIA) exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the AAIA certification test. To get familiar with real exam environment, we suggest you try our Sample ISACA Advanced Audit-Specific Artificial Intelligence Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual ISACA Advanced in AI Audit (AAIA) certification exam.

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ISACA AAIA Sample Questions:

01. 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
 
02. Which activities are considered best practices in designing an AI audit testing methodology?
(choose two)
a) Aligning test cases with AI ethical principles
b) Avoiding interaction with operational teams
c) Validating model assumptions and training context
d) Bypassing explainability tools
 
03. 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
 
04. What makes walkthroughs and interviews valuable in AI audit evidence collection?
a) They eliminate the need for data access logs
b) They help validate actual practices versus documented processes
c) They support only technical metrics and configurations
d) They are required only after deployment
 
05. 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
 
06. 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
 
07. Which program management practices are critical for ensuring an AI strategy is effectively implemented across the enterprise?
(Choose two)
a) Avoiding documentation to encourage agility
b) Establishing cross-functional AI councils
c) Relying solely on vendor solutions for AI use cases
d) Aligning KPIs with strategic business goals
 
08. 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
 
09. 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
 
10. 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

Answers:

Question: 01
Answer: b		 Question: 02
Answer: a, c		 Question: 03
Answer: d		 Question: 04
Answer: b		 Question: 05
Answer: a, b
Question: 06
Answer: c		 Question: 07
Answer: b, d		 Question: 08
Answer: a		 Question: 09
Answer: a, c		 Question: 10
Answer: d

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