Free PDF ISACA - AAIA - The Best Test ISACA Advanced in AI Audit Questions Vce

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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
Topic 2
  • Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.
Topic 3
  • AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.

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ISACA Advanced in AI Audit Sample Questions (Q106-Q111):

NEW QUESTION # 106
Which of the following insider threats involving the use of AI would present the GREATEST risk?

Answer: C

Explanation:
The GREATEST insider threat isexfiltrating sensitive data(D). AI systems often contain rich datasets including personal, financial, operational, and proprietary information. If an insider extracts or leaks this data, the result can be severe legal, regulatory, and reputational consequences.
Destroying backups (C) affects availability but not confidentiality. Social engineering attacks (B) are serious but indirect. Hyperparameter leakage (A) exposes model configuration but usually does not endanger sensitive data directly. AAIA stresses thatdata confidentiality risksare the most severe category in AI governance.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Ethical and Legal Risks; Data Protection and Confidentiality.


NEW QUESTION # 107
Which of the following is MOST important to have in place when initially populating data into a data frame for an AI model?

Answer: D

Explanation:
Exploratory Data Analysis (EDA) is critical during the initial stages of AI model development.
According to the AAIATM Study Guide, performing EDA--including identifying null values, incorrect data types, or duplicates--ensures that the data fed into the model is clean and reliable.
"Initial data frames should be subject to thorough EDA to uncover data quality issues. These issues, if not addressed early, can severely affect model training and predictive accuracy."


NEW QUESTION # 108
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?

Answer: C

Explanation:
The primary goal of any AI system is to provide predictions or classifications that support business decisions. The AAIATM Study Guide highlights that model accuracy--especially when validated against actual outcomes--is the most reliable indicator of whether the AI supports organizational goals effectively.
"Accuracy, precision, and recall are foundational metrics that indicate whether a model is performing in line with its intended objectives. High user engagement or retraining frequency does not confirm effective decision support unless the outputs are correct." Cost and user numbers offer useful operational insights but do not reflect the alignment of AI performance with strategic goals. Thus, D is the most meaningful KPI in this context.


NEW QUESTION # 109
When an IS auditor uses generative AI with external RAG (retrieval-augmented generation) to gather evidence during an audit, which of the following poses the GREATEST data security risk?

Answer: A

Explanation:
The GREATEST risk is thatsensitive internal contentmay be embedded in AI prompts and sent to an external system (A), exposing confidential or regulated information. Retrieval-augmented generation often involves sending queries or embeddings to third-party APIs, creating a significantdata leakagerisk if internal context is included.
Option B deals with training-data leakage, which is notable but less immediate. Option C is irrelevant to the core risk. Option D concerns operational reliability, not security. In AAIA, protection of internal audit evidence and sensitive data is paramount, and theprimary threat is external disclosure through prompts.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Data Protection, AI Privacy Risks.


NEW QUESTION # 110
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

Answer: B

Explanation:
The greatest challenge for IS auditors in evaluating the explainability of generative AI models is the changing nature of algorithms as AI continues to learn (option D). Generative AI models, especially those using advanced techniques like deep learning and reinforcement learning, often employ continuous or dynamic learning, which results in models that evolve over time. This adaptability can significantly hinder explainability because the logic, parameters, or decision pathways may shift with ongoing retraining or real-time learning.
The ISACA Advanced in AI AuditTM (AAIATM) Study Guide stresses that: "Continually learning AI systems present unique audit challenges, as their internal representations and reasoning can change after deployment, making it difficult to fully capture and explain the rationale for outputs at any given point."


NEW QUESTION # 111
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