Best ISACA AAIA exam questions and answers

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ISACA AAIA Exam Syllabus Topics:

SectionObjectives
AI Governance and Risk- AI Governance Frameworks
  • 1. AI policies and governance structures
  • 2. Regulatory and compliance considerations
  • 3. AI risk management
- AI Security and Controls
  • 1. Threat and vulnerability management
  • 2. Identity and access management
  • 3. Vendor and supply chain risk
AI Operations- AI System Lifecycle
  • 1. Monitoring and maintenance
  • 2. Configuration and change management
  • 3. AI system development and deployment
- AI Data Management
  • 1. Training and testing data
  • 2. Data quality and integrity
  • 3. Operational AI controls
AI Auditing Tools and Techniques- AI Audit Planning
  • 1. AI audit methodologies
  • 2. Audit resource planning
  • 3. Audit scoping and objectives
- Audit Testing and Reporting
  • 1. Audit reporting and follow-up
  • 2. Testing and sampling methodologies
  • 3. Evidence collection techniques

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ISACA Advanced in AI Audit Sample Questions (Q87-Q92):

NEW QUESTION # 87
Which of the following is the MOST important course of action for an organization prior to allowing end users to utilize an AI tool?

Answer: C


NEW QUESTION # 88
Which of the following is the PRIMARY benefit of using linear regression in machine learning (ML) when transparency and auditability are required?

Answer: B

Explanation:
Linear regression is a "transparent" or "white-box" model. Its primary benefit in an audit context is its interpretability; each coefficient directly indicates the influence of an input variable on the output. This allows auditors to easily verify the logic and ensure that no inappropriate or discriminatory variables are driving the results. While linear models are less prone to complex overfitting than deep learning, they are not immune to it. Their simplicity often results in lower predictive accuracy for complex data, but for auditability and compliance, the ability to explain the
"why" behind a prediction is paramount.


NEW QUESTION # 89
An AI audit reveals that a loan approval model has a significantly higher rejection rate for a specific demographic group. What should be management's PRIMARY response?

Answer: C

Explanation:
A significantly higher rejection rate is a clear indicator of potential algorithmic discrimination.
Management's PRIMARY response should be to conduct a comprehensive bias analysis (C), including fairness metrics, root-cause analysis, model explainability assessments, and data quality reviews. AAIA prioritizes fairness auditing and bias remediation as central to AI governance.


NEW QUESTION # 90
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

Answer: C

Explanation:
A transparent data consent management process ensures users are informed about how their data will be used, and enables them to exercise their rights to consent, access, rectify, or delete their data. This is a core requirement under regulations such as GDPR and CCPA.
"Consent management is fundamental to respecting data ownership rights. Organizations must clearly disclose data usage purposes, provide opt-in/out capabilities, and maintain audit trails of user interactions."


NEW QUESTION # 91
The internal audit department of a large law firm plans to implement an AI solution to review and analyze contracts stored in its enterprise resource planning (ERP) system. Which of the following AI technologies is MOST suitable for this requirement?

Answer: B

Explanation:
Natural Language Processing (NLP) is the specific branch of AI focused on the interaction between computers and human language. For tasks involving the review, summarization, and extraction of insights from unstructured text documents like legal contracts, NLP is the most suitable technology. It allows the system to understand semantic meaning, identify clauses, and detect inconsistencies within a legal context.


NEW QUESTION # 92
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