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Isaca AAIA Practice Test 70

Question 690

An independent AI auditor reviews this case: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Define owner-led ongoing monitoring for quality, drift, safety, fairness and service impact with escalation.
  2. Limit agent authority by least-privilege tools, transaction ceilings, pre-action approval and post-action verification.
  3. Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions.
  4. Inspect logging schema, privacy redaction, identifiers, time ordering, retention and replay tests.
  5. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.

Explanation

Correct Answers

A:

Independent audit evidence includes: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

C:

The acceptable verified outcome is: Threshold breaches lead to timely investigation and documented changes to protect affected users. In this case: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

Incorrect Answers

B:

This option concerns Autonomous agent action-limit supervision, which is a related but different AI governance concern. In this case: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

D:

This option concerns AI decision logs and explanation traceability, which is a related but different AI governance concern. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

E:

This attractive shortcut does not resolve the AI post-deployment monitoring and KRI ownership weakness: Conclude that no AI risk exists as long as the model endpoint responds within its SLA. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

Question 691

A governance and assurance review uncovers the following: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Review reviewer independence, held-out data provenance, challenge results, exceptions and signoffs.
  2. Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.
  3. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  4. Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions.

Explanation

Correct Answer

D:

The acceptable verified outcome is: Threshold breaches lead to timely investigation and documented changes to protect affected users. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

Incorrect Answers

A:

This option concerns Independent validation before model deployment, which is a related but different AI governance concern. In this case: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

B:

This option concerns Customer appeal and remedy for automated outcomes, which is a related but different AI governance concern. In this case: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

C:

This attractive shortcut does not resolve the AI post-deployment monitoring and KRI ownership weakness: Conclude that no AI risk exists as long as the model endpoint responds within its SLA. Define owner-led ongoing monitoring for quality, drift, safety, fairness and service impact with escalation.

Question 692

A risk-based audit engagement examines this operating condition: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Threshold breaches lead to timely investigation and documented changes to protect affected users.
  2. An independent challenger confirms specified safety and performance requirements before go-live.
  3. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  4. Approved feedback improves measured outcomes without adversarial self-reinforcing error.

Explanation

Correct Answer

A:

Independent audit evidence includes: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions. The reason it is necessary is: Production AI monitoring must measure harmful outcomes, not merely infrastructure availability.

Incorrect Answers

B:

This option concerns Independent validation before model deployment, which is a related but different AI governance concern. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

C:

For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

D:

This option concerns Feedback-loop contamination from user corrections, which is a related but different AI governance concern. For this situation: A fraud platform monitors API uptime but not a rising rate of wrongful customer payment blocks.

Question 693

An audit committee asks for a defensible assessment of this situation: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Define owner-led ongoing monitoring for quality, drift, safety, fairness and service impact with escalation.
  2. Capture necessary model version, inputs or safe references, key context, outcome and human intervention metadata.
  3. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  4. Define calibrated thresholds and safe defer-to-human or rule-based fallbacks for uncertain or missing-data conditions.

Explanation

Correct Answer

A:

Independent audit evidence includes: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Incorrect Answers

B:

This option concerns AI decision logs and explanation traceability, which is a related but different AI governance concern. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

C:

This attractive shortcut does not resolve the AI post-deployment monitoring and KRI ownership weakness: Conclude that no AI risk exists as long as the model endpoint responds within its SLA. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

D:

This option concerns Threshold governance and safety fallbacks, which is a related but different AI governance concern. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Question 694

During an AI controls assessment, the team learns that an AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Production AI monitoring must measure harmful outcomes, not merely infrastructure availability.
  2. Auditability of an AI decision depends on traceable context, not just a final predicted label.
  3. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  4. Developer confidence cannot replace independent assessment for consequential model decisions.

Explanation

Correct Answer

A:

Independent audit evidence includes: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions. This is the applicable AI audit principle for AI post-deployment monitoring and KRI ownership: Production AI monitoring must measure harmful outcomes, not merely infrastructure availability.

Incorrect Answers

B:

This option concerns AI decision logs and explanation traceability, which is a related but different AI governance concern. For this situation: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

C:

This attractive shortcut does not resolve the AI post-deployment monitoring and KRI ownership weakness: Conclude that no AI risk exists as long as the model endpoint responds within its SLA. For this situation: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

D:

This option concerns Independent validation before model deployment, which is a related but different AI governance concern. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Question 695

An independent AI auditor reviews this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  2. Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions.
  3. Inspect feedback source identities, adjudication rates, unusual bursts, retraining eligibility and rollback.
  4. Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.

Explanation

Correct Answer

B:

The acceptable verified outcome is: Threshold breaches lead to timely investigation and documented changes to protect affected users. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Incorrect Answers

A:

For this situation: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

C:

This option concerns Feedback-loop contamination from user corrections, which is a related but different AI governance concern. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

D:

This option concerns Customer appeal and remedy for automated outcomes, which is a related but different AI governance concern. In this case: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Question 696

A governance and assurance review uncovers the following: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Conclude that no AI risk exists as long as the model endpoint responds within its SLA.
  2. An authorized reviewer can reconstruct a sampled decision without overcollecting personal data.
  3. An independent challenger confirms specified safety and performance requirements before go-live.
  4. Threshold breaches lead to timely investigation and documented changes to protect affected users.

Explanation

Correct Answer

D:

This is an observable validation result for AI post-deployment monitoring and KRI ownership, not just management assurance: Threshold breaches lead to timely investigation and documented changes to protect affected users.

Incorrect Answers

A:

The auditor should instead examine: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions.

B:

This option concerns AI decision logs and explanation traceability, which is a related but different AI governance concern. The audit must corroborate: Inspect live KPIs and KRIs, baselines, incident triggers, ownership and corrective decisions.

C:

This option concerns Independent validation before model deployment, which is a related but different AI governance concern. For this situation: An AI document summarizer begins omitting key risk clauses and management sees only request latency dashboards.

Question 697

A risk-based audit engagement examines this operating condition: A rejected applicant is told a computer made the decision and there is no channel to correct erroneous input. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Capture necessary model version, inputs or safe references, key context, outcome and human intervention metadata.
  2. Limit agent authority by least-privilege tools, transaction ceilings, pre-action approval and post-action verification.
  3. Design actionable challenge, human reassessment, factual correction and remediation for adverse AI decisions.
  4. Define appeal as displaying the AI output again without an independent person or correction mechanism.

Explanation

Correct Answer

C:

The reason it is necessary is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified. The acceptable verified outcome is: Valid challenges produce traceable investigation and timely remedy rather than automated restatement.

Incorrect Answers

A:

This option concerns AI decision logs and explanation traceability, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

B:

This option concerns Autonomous agent action-limit supervision, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

D:

This attractive shortcut does not resolve the Customer appeal and remedy for automated outcomes weakness: Define appeal as displaying the AI output again without an independent person or correction mechanism.

Question 698

An audit committee asks for a defensible assessment of this situation: A rejected applicant is told a computer made the decision and there is no channel to correct erroneous input. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Human-in-the-loop labeling does not create real oversight when reviewers cannot understand or influence outcomes.
  2. Define appeal as displaying the AI output again without an independent person or correction mechanism.
  3. Training-data integrity is a control boundary because malicious or flawed inputs can change model behavior persistently.
  4. An appeal path is meaningful when it can correct underlying facts and change outcomes where justified.

Explanation

Correct Answer

D:

The acceptable verified outcome is: Valid challenges produce traceable investigation and timely remedy rather than automated restatement. This is the applicable AI audit principle for Customer appeal and remedy for automated outcomes: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified.

Incorrect Answers

A:

This option concerns Effective human oversight of AI recommendations, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

B:

This attractive shortcut does not resolve the Customer appeal and remedy for automated outcomes weakness: Define appeal as displaying the AI output again without an independent person or correction mechanism. For this situation: A rejected applicant is told a computer made the decision and there is no channel to correct erroneous input.

C:

This option concerns Data poisoning prevention in automated ingestion, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

Question 699

During an AI controls assessment, the team learns that a rejected applicant is told a computer made the decision and there is no channel to correct erroneous input. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Inspect feedback source identities, adjudication rates, unusual bursts, retraining eligibility and rollback.
  2. Inspect reviewer workload, UI, explanations, override log and interviews on actual cases.
  3. Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.
  4. Define appeal as displaying the AI output again without an independent person or correction mechanism.

Explanation

Correct Answer

C:

The reason it is necessary is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified. This evidence directly tests the asserted control for Customer appeal and remedy for automated outcomes: Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.

Incorrect Answers

A:

This option concerns Feedback-loop contamination from user corrections, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

B:

This option concerns Effective human oversight of AI recommendations, which is a related but different AI governance concern. The decisive principle here is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified.

D:

This attractive shortcut does not resolve the Customer appeal and remedy for automated outcomes weakness: Define appeal as displaying the AI output again without an independent person or correction mechanism. The auditor should instead examine: Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.

Question 700

An independent AI auditor reviews this case: A rejected applicant is told a computer made the decision and there is no channel to correct erroneous input. Which THREE elements together provide a defensible AI audit conclusion: the corrective control, the evidence to test it, and a verified outcome? Select THREE answers.

  1. Valid challenges produce traceable investigation and timely remedy rather than automated restatement.
  2. Define appeal as displaying the AI output again without an independent person or correction mechanism.
  3. Review appeal turnaround, reviewer authority, data correction process, overturned cases and notices.
  4. Design actionable challenge, human reassessment, factual correction and remediation for adverse AI decisions.
  5. Compare ingestion source identities, sampling patterns, hash manifests, anomaly screens and approval records.
  6. Define calibrated thresholds and safe defer-to-human or rule-based fallbacks for uncertain or missing-data conditions.

Explanation

Correct Answers

A:

The reason it is necessary is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified. This is an observable validation result for Customer appeal and remedy for automated outcomes, not just management assurance: Valid challenges produce traceable investigation and timely remedy rather than automated restatement.

C:

The reason it is necessary is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified. For this situation: A rejected applicant is told a computer made the decision and there is no channel to correct erroneous input.

D:

The reason it is necessary is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified. This response fits the risk associated with Customer appeal and remedy for automated outcomes: Design actionable challenge, human reassessment, factual correction and remediation for adverse AI decisions.

Incorrect Answers

B:

This attractive shortcut does not resolve the Customer appeal and remedy for automated outcomes weakness: Define appeal as displaying the AI output again without an independent person or correction mechanism. Effective closure requires: Valid challenges produce traceable investigation and timely remedy rather than automated restatement.

E:

This option concerns Data poisoning prevention in automated ingestion, which is a related but different AI governance concern. The decisive principle here is: An appeal path is meaningful when it can correct underlying facts and change outcomes where justified.

F:

This option concerns Threshold governance and safety fallbacks, which is a related but different AI governance concern. It does not establish control effectiveness for Customer appeal and remedy for automated outcomes.

ISACA Advanced in AI Audit (AAIA) Practice Tests