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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?

A) Automating data cleaning and metadata tagging for large datasets
B) Providing more rapid identification of overfitting during model training
C) Justifying the use of synthetic data to augment smaller datasets
D) Reducing the initial impacts of data poisoning and exfiltration attacks

2. A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliability is not consistent. Which of the following BEST mitigates this risk?

A) Weighting historical records over recent samples to limit induced variance
B) Establishing data provenance and implementing stage gate quality reviews
C) Reducing the diversity of the external feeds and the number of classes
D) Updating to the latest model version to accurately reflect real-world data changes

3. A risk practitioner is reviewing an organization's implementation of a business-critical AI decision system.
Which of the following would be of GREATEST concern?

A) Risk threshold acceptance criteria that do not require 100% decision accuracy
B) Insufficient scenario-based testing of system failure modes and recovery procedures
C) Reliance on conventional third-party security providers for system monitoring
D) Lack of cross-functional AI incident identification and escalation training

4. Which of the following is the PRIMARY benefit of incorporating new AI-specific controls?

A) It identifies and prioritizes compliance reporting requirements that apply to both existing and new controls.
B) It provides a holistic approach to address conventional governance exposures and emerging AI vulnerabilities.
C) It accelerates deployment timelines by enabling more efficient pre-deployment risk analysis.
D) It reduces costs by eliminating redundant controls and consolidating control oversight.

5. Which of the following is a risk practitioner's BEST justification for embedding AI risk considerations into acceptable use policies?

A) Addressing the potential for shadow AI by defining an allow list for AI tools
B) Assigning AI risk accountability to business unit leadership
C) Maintaining alignment of enterprise tolerance across decision-making systems
D) Applying uniform risk controls across diverse business functions

Solutions: