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Isaca AAIA Practice Test 17

Question 160

An independent AI auditor reviews this case: Employees paste confidential source code into public chatbots despite annually signing a generic IT security policy. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Count training attendance alone as proof that staff can operate AI systems safely.
  2. Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.
  3. Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.
  4. Inspect SOC reports where relevant, model cards, contracts, retention terms, subprocessor lists, SLAs and exit tests.
  5. Require decision-level explanations proportionate to the use case, validated predictive benefit, documented limitations and a meaningful appeal path.

Explanation

Correct Answers

B:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. This response fits the risk associated with AI workforce literacy and policy awareness: Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.

C:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. For this situation: Employees paste confidential source code into public chatbots despite annually signing a generic IT security policy.

Incorrect Answers

A:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. Effective closure requires: Employees handle realistic AI exceptions and know approved tools, restricted data and escalation paths.

D:

This option concerns Third-party foundation model procurement assurance, which is a related but different AI governance concern. The decisive principle here is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

E:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. It does not establish control effectiveness for AI workforce literacy and policy awareness.

Question 161

A governance and assurance review uncovers the following: A support team deploys an AI translation feature without knowing when human review is required for regulated advice. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Require decision-level explanations proportionate to the use case, validated predictive benefit, documented limitations and a meaningful appeal path.
  2. Assess vendor control evidence, data handling, change notification, subcontractors, portability and remedies before acceptance.
  3. Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

C:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. In this case: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

Incorrect Answers

A:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. The decisive principle here is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

B:

This option concerns Third-party foundation model procurement assurance, which is a related but different AI governance concern. In this case: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

D:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. In this case: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

Question 162

A risk-based audit engagement examines this operating condition: A support team deploys an AI translation feature without knowing when human review is required for regulated advice. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.
  2. Count training attendance alone as proof that staff can operate AI systems safely.
  3. Risk-based governance calibrates scrutiny to potential consequences and does not equate every AI feature.
  4. Model suitability depends on performance, explainability and consequences of errors; a marginal metric gain does not remove oversight obligations.

Explanation

Correct Answer

A:

Independent audit evidence includes: Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations. In this case: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

Incorrect Answers

B:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. For this situation: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

C:

This option concerns Risk-tiering and proportional approval gates, which is a related but different AI governance concern. The decisive principle here is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

D:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. For this situation: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

Question 163

An audit committee asks for a defensible assessment of this situation: A support team deploys an AI translation feature without knowing when human review is required for regulated advice. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.
  2. Inspect use-case criticality, model comparison, reason-code fidelity, feature lineage, adverse-decision samples and appeal test results.
  3. Inspect approved exception register, justifications, expiry, control alternatives and follow-up evidence.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

A:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. The corrective action is: Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.

Incorrect Answers

B:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. The audit must corroborate: Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.

C:

This option concerns AI policy exception governance, which is a related but different AI governance concern. It does not establish control effectiveness for AI workforce literacy and policy awareness.

D:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.

Question 164

During an AI controls assessment, the team learns that a support team deploys an AI translation feature without knowing when human review is required for regulated advice. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Employees handle realistic AI exceptions and know approved tools, restricted data and escalation paths.
  2. High-impact systems receive enhanced validation while low-risk uses still meet baseline safeguards.
  3. Material AI uses are inventoried, risk-tiered and linked to approved business/data owners before production use.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

A:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. This is an observable validation result for AI workforce literacy and policy awareness, not just management assurance: Employees handle realistic AI exceptions and know approved tools, restricted data and escalation paths.

Incorrect Answers

B:

This option concerns Risk-tiering and proportional approval gates, which is a related but different AI governance concern. For this situation: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

C:

This option concerns Enterprise AI inventory and shadow-AI discovery, which is a related but different AI governance concern. In this case: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

D:

For this situation: A support team deploys an AI translation feature without knowing when human review is required for regulated advice.

Question 165

An independent AI auditor reviews this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Assign decision rights and responsibilities for design, operation, risk acceptance, independent challenge and remediation.
  2. Require time-bound exception approvals, explicit risk ownership, compensating measures and periodic review.
  3. Count training attendance alone as proof that staff can operate AI systems safely.
  4. Deliver role-specific AI awareness, secure-use guidance and tested escalation exercises matched to real work.

Explanation

Correct Answer

D:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

Incorrect Answers

A:

This option concerns Accountable ownership and three-lines roles, which is a related but different AI governance concern. The decisive principle here is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

B:

This option concerns AI policy exception governance, which is a related but different AI governance concern. The decisive principle here is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

C:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

Question 166

A governance and assurance review uncovers the following: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Governance exceptions are controlled risk decisions rather than silent removal of mandated requirements.
  2. Third-party AI outsourcing transfers processing, not the organization's accountability for data and decisions.
  3. Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

C:

Independent audit evidence includes: Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

Incorrect Answers

A:

This option concerns AI policy exception governance, which is a related but different AI governance concern. For this situation: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

B:

This option concerns Third-party foundation model procurement assurance, which is a related but different AI governance concern. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

D:

This attractive shortcut does not resolve the AI workforce literacy and policy awareness weakness: Count training attendance alone as proof that staff can operate AI systems safely. For this situation: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

Question 167

A risk-based audit engagement examines this operating condition: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Review RACI, committee charters, risk decisions, escalation records, owner acceptance and audit independence.
  2. Reconcile software contracts, cloud billing, SSO logs, network egress, procurement and departmental attestations to inventory entries.
  3. Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

C:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. The acceptable verified outcome is: Employees handle realistic AI exceptions and know approved tools, restricted data and escalation paths.

Incorrect Answers

A:

This option concerns Accountable ownership and three-lines roles, which is a related but different AI governance concern. For this situation: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

B:

This option concerns Enterprise AI inventory and shadow-AI discovery, which is a related but different AI governance concern. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

D:

For this situation: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

Question 168

An audit committee asks for a defensible assessment of this situation: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. A significant AI issue has a named accountable owner, documented decision and independent audit challenge.
  2. High-impact systems receive enhanced validation while low-risk uses still meet baseline safeguards.
  3. Employees handle realistic AI exceptions and know approved tools, restricted data and escalation paths.
  4. Count training attendance alone as proof that staff can operate AI systems safely.

Explanation

Correct Answer

C:

The reason it is necessary is: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows. Independent audit evidence includes: Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.

Incorrect Answers

A:

This option concerns Accountable ownership and three-lines roles, which is a related but different AI governance concern. The audit must corroborate: Inspect training role coverage, job-specific examples, scenario test scores and observed policy violations.

B:

This option concerns Risk-tiering and proportional approval gates, which is a related but different AI governance concern. In this case: AI reviewers in a bank cannot identify model hallucinations or escalate a suspected discriminatory result.

D:

It misses the key control principle: Policy awareness is effective only when personnel understand and apply controls in actual AI workflows.

Question 169

During an AI controls assessment, the team learns that a warehouse AI optimizes picking speed but risk staff list only data breaches and miss worker safety hazards. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Develop use-case-specific scenarios covering people, business process, privacy, safety, security and model behavior.
  2. Assess subgroup outcomes, proxy variables, relevant legitimate factors and mitigations with lawful context.
  3. Reuse a generic network security risk list and conclude all AI-specific adverse decisions are covered.
  4. Define drift indicators and use-case-specific revalidation triggers with approved mitigation decisions.

Explanation

Correct Answer

A:

The reason it is necessary is: AI risk assessment must consider intended context and foreseeable misuse, not only traditional IT incidents. This is the proportionate control response to AI use-case risk scenario identification: Develop use-case-specific scenarios covering people, business process, privacy, safety, security and model behavior.

Incorrect Answers

B:

This option concerns Fairness assessment for proxy discrimination, which is a related but different AI governance concern. It does not establish control effectiveness for AI use-case risk scenario identification.

C:

This attractive shortcut does not resolve the AI use-case risk scenario identification weakness: Reuse a generic network security risk list and conclude all AI-specific adverse decisions are covered.

D:

This option concerns Concept drift and changing customer behavior, which is a related but different AI governance concern. It does not establish control effectiveness for AI use-case risk scenario identification.

Question 170

An independent AI auditor reviews this case: A warehouse AI optimizes picking speed but risk staff list only data breaches and miss worker safety hazards. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Track leading behavior, data-quality and control indicators with thresholds linked to risk appetite.
  2. Reuse a generic network security risk list and conclude all AI-specific adverse decisions are covered.
  3. Review use-case map, stakeholders, failure modes, risk register, impact assumptions and challenge workshops.
  4. Develop use-case-specific scenarios covering people, business process, privacy, safety, security and model behavior.
  5. Inspect system purpose, actors, changes, market placement, impact, legal analysis and current phased applicability.

Explanation

Correct Answers

C:

The reason it is necessary is: AI risk assessment must consider intended context and foreseeable misuse, not only traditional IT incidents. This evidence directly tests the asserted control for AI use-case risk scenario identification: Review use-case map, stakeholders, failure modes, risk register, impact assumptions and challenge workshops.

D:

The reason it is necessary is: AI risk assessment must consider intended context and foreseeable misuse, not only traditional IT incidents. For this situation: A warehouse AI optimizes picking speed but risk staff list only data breaches and miss worker safety hazards.

Incorrect Answers

A:

This option concerns AI risk monitoring through leading KRIs, which is a related but different AI governance concern. It does not establish control effectiveness for AI use-case risk scenario identification.

B:

This attractive shortcut does not resolve the AI use-case risk scenario identification weakness: Reuse a generic network security risk list and conclude all AI-specific adverse decisions are covered. For this situation: A warehouse AI optimizes picking speed but risk staff list only data breaches and miss worker safety hazards.

E:

This option concerns EU AI Act role and risk classification, which is a related but different AI governance concern. It does not establish control effectiveness for AI use-case risk scenario identification.

ISACA Advanced in AI Audit (AAIA) Practice Tests