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ISACA AAIA Exam Syllabus Topics:

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

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ISACA Advanced in AI Audit Sample Questions (Q129-Q134):

NEW QUESTION # 129
Which of the following is the MOST important consideration when auditing an organization's process for decommissioning an AI model?

Answer: B

Explanation:
Proper decommissioning requires structured retirement of data access, dependent systems, and integrations, while retaining sufficient records (per retention policy) to support future audits, investigations, or regulatory inquiries.


NEW QUESTION # 130
Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?

Answer: C

Explanation:
Risk assessments identify potential threats and vulnerabilities in AI systems and support the development of mitigation strategies. According to the AAIA™ Study Guide, the main objective is not just identification of risks but to proactively design controls that minimize impact and ensure ethical and regulatory compliance.
"The output of an AI risk assessment should lead to actionable mitigation strategies, supporting the secure and responsible deployment of AI solutions across business processes." Options A, C, and D are components of governance and monitoring, but B addresses the core intent of risk assessments.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Risk Assessment and Mitigation for AI Systems"


NEW QUESTION # 131
Which of the following is the GREATEST risk associated with the use of AI coding tools by software developers?

Answer: C

Explanation:
AI-based coding assistants can inadvertently generate insecure code patterns, reuse vulnerable libraries, or bypass secure coding practices.
AAIA highlights security vulnerabilities as the primary risk because insecure code can lead to:
Data breaches
Injection attacks
Authentication bypasses
Supply chain compromise
Privilege escalation


NEW QUESTION # 132
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?

Answer: D

Explanation:
Supervised learning is a foundational type of machine learning in which the model is trained on a labeled dataset. According to the AAIA™ Study Guide, labeled data includes input features along with the correct output, enabling the model to learn the mapping function accurately.
"In supervised learning, models learn from input-output pairs provided in the training data. This method enables predictive modeling tasks such as classification and regression." Unlabeled data (A) is used in unsupervised learning; clustered data (B) is a technique rather than a data type; and randomized data (D) refers to distribution strategy, not labeling. Hence, labeled data is the correct answer.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Fundamentals and Technologies," Subsection: "Types of AI Learning Models"


NEW QUESTION # 133
An IS auditor is evaluating a cybersecurity system that uses agentic AI for autonomous threat detection and incident response. Which of the following is MOST important for the auditor to consider?

Answer: A

Explanation:
"Agentic AI" goes beyond simple detection; it can take actions (like shutting down a server) autonomously. The greatest risk is that the AI might misinterpret a legitimate but unusual business activity as a threat and trigger a "kill switch," causing massive, unplanned downtime.
This is a significant operational and availability risk. Auditors must ensure there are "guardrails" or a "human-in-the-loop" for high-impact actions.


NEW QUESTION # 134
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