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Isaca AAIA Practice Test 101

Question 1000

An independent AI auditor reviews this case: An audit team lets a generative assistant prioritize engagements using confidential incident files with no use approval. 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. Inspect source test inputs, environment version, expected result, output logs and exception handling.
  2. An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.
  3. Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections.
  4. Preserve professional objectivity, disclose conflicts and independently validate AI-assisted audit decisions.
  5. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  6. Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Explanation

Correct Answers

B:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. This is an observable validation result for Using AI during audit engagement planning, not just management assurance: An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.

C:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. For this situation: An audit team lets a generative assistant prioritize engagements using confidential incident files with no use approval.

F:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. This response fits the risk associated with Using AI during audit engagement planning: Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Incorrect Answers

A:

This option concerns Reperformance and adversarial audit test cases, which is a related but different AI governance concern. The decisive principle here is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.

D:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. The decisive principle here is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.

E:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. Effective closure requires: An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.

Question 1001

A governance and assurance review uncovers the following: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Reperform representative positive and negative controls using independently selected inputs and authorized challenge procedures.
  2. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  3. Preserve professional objectivity, disclose conflicts and independently validate AI-assisted audit decisions.
  4. Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Explanation

Correct Answer

D:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. In this case: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

Incorrect Answers

A:

This option concerns Reperformance and adversarial audit test cases, which is a related but different AI governance concern. In this case: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

B:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. In this case: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

C:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. In this case: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

Question 1002

A risk-based audit engagement examines this operating condition: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  2. Findings must be based on traceable and testable criteria rather than a reviewer's undefined preference.
  3. Audit independence extends to automated methods and relationships that could bias scope or findings.
  4. AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.

Explanation

Correct Answer

D:

Independent audit evidence includes: Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections. In this case: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

Incorrect Answers

A:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. For this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

B:

This option concerns AI audit criteria and control objectives, which is a related but different AI governance concern. The decisive principle here is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.

C:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. For this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

Question 1003

An audit committee asks for a defensible assessment of this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections.
  2. Inspect source test inputs, environment version, expected result, output logs and exception handling.
  3. Review engagement conflicts, tool ownership, reviewer signoff, challenge evidence and decision trail.
  4. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.

Explanation

Correct Answer

A:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. The corrective action is: Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Incorrect Answers

B:

This option concerns Reperformance and adversarial audit test cases, which is a related but different AI governance concern. For this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

C:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. The audit must corroborate: Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections.

D:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Question 1004

During an AI controls assessment, the team learns that an AI audit planner ranks high-risk business units based on stale training data without auditor challenge. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  2. An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.
  3. Workpapers map each issue to an explicit criterion, condition, cause, consequence and evidence.
  4. Independent auditors retain final conclusions and conflicts are mitigated with transparent quality review.

Explanation

Correct Answer

B:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. The acceptable verified outcome is: An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.

Incorrect Answers

A:

For this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

C:

This option concerns AI audit criteria and control objectives, which is a related but different AI governance concern. For this situation: An AI audit planner ranks high-risk business units based on stale training data without auditor challenge.

D:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. A proportionate response is: Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.

Question 1005

An independent AI auditor reviews this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Use approved AI tools for planning with data safeguards, transparent criteria, independent review and reproducible output.
  2. Preserve professional objectivity, disclose conflicts and independently validate AI-assisted audit decisions.
  3. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  4. Define objective risk-based audit criteria from approved organizational policies, relevant standards and applicable law.

Explanation

Correct Answer

A:

The reason it is necessary is: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

Incorrect Answers

B:

This option concerns Auditor independence with AI-enabled workpapers, which is a related but different AI governance concern. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

C:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

D:

This option concerns AI audit criteria and control objectives, which is a related but different AI governance concern. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

Question 1006

A governance and assurance review uncovers the following: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Audit scope must follow enterprise AI exposure, not only visible software projects or infrastructure boundaries.
  2. AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.
  3. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  4. Control operation is better evidenced by observed outcomes and reproducible test steps than management assertions.

Explanation

Correct Answer

B:

Independent audit evidence includes: Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

Incorrect Answers

A:

This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

C:

This attractive shortcut does not resolve the Using AI during audit engagement planning weakness: Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective. For this situation: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

D:

This option concerns Reperformance and adversarial audit test cases, which is a related but different AI governance concern. In this case: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

Question 1007

A risk-based audit engagement examines this operating condition: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.
  2. Reconcile AI inventory, data flows, business ownership, complaints, material incidents and risk appetite to audit plan.
  3. Inspect service organization reports, contract rights, complementary controls, model monitoring and exception records.
  4. Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections.

Explanation

Correct Answer

D:

This evidence directly tests the asserted control for Using AI during audit engagement planning: Inspect approved tool use, input sensitivity, model version, generated risk ranking and reviewer corrections.

Incorrect Answers

A:

For this situation: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

B:

This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. For this situation: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

C:

This option concerns Third-party AI assurance boundary and audit rights, which is a related but different AI governance concern. It does not establish control effectiveness for Using AI during audit engagement planning.

Question 1008

An audit committee asks for a defensible assessment of this situation: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. End-to-end reconciliations explain missing and duplicated records before sampling and metrics.
  2. An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.
  3. The audit reaches a defensible scoped conclusion or clearly reports evidence restrictions and residual risk.
  4. Delegate the entire risk assessment to a chatbot and consider its ranking inherently objective.

Explanation

Correct Answer

B:

This is an observable validation result for Using AI during audit engagement planning, not just management assurance: An accountable auditor validates the final scope and retains evidence for AI-generated suggestions.

Incorrect Answers

A:

This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. It does not establish control effectiveness for Using AI during audit engagement planning.

C:

This option concerns Third-party AI assurance boundary and audit rights, which is a related but different AI governance concern. For this situation: A consulting firm automates audit scopes from client questionnaires and never verifies hallucinated risk drivers.

D:

It misses the key control principle: AI-assisted audit planning can improve coverage but retains risks of confidentiality, bias and fabricated conclusions.

Question 1009

During an AI controls assessment, the team learns that a credit model's audit sample randomly selects 200 approvals and contains no adverse-denial cases to test fairness. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Claim an absence of observed harm proves no problem when the sample excluded the at-risk group.
  2. Define the AI audit universe and scope using use-case impact, third parties, control reliance and key risk scenarios.
  3. Match attribute, variables and judgmental methods to the test purpose with transparent population and exception logic.
  4. Combine risk-weighted stratification and justified random sampling across consequential outcomes and populations.

Explanation

Correct Answer

D:

The reason it is necessary is: A statistically large aggregate sample may fail to capture rare but material AI failure conditions. This is the proportionate control response to Stratified sampling for rare AI harms: Combine risk-weighted stratification and justified random sampling across consequential outcomes and populations.

Incorrect Answers

A:

This attractive shortcut does not resolve the Stratified sampling for rare AI harms weakness: Claim an absence of observed harm proves no problem when the sample excluded the at-risk group.

B:

This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. It does not establish control effectiveness for Stratified sampling for rare AI harms.

C:

This option concerns Attribute and variable sampling for AI controls, which is a related but different AI governance concern. It does not establish control effectiveness for Stratified sampling for rare AI harms.

Question 1010

An independent AI auditor reviews this case: A credit model's audit sample randomly selects 200 approvals and contains no adverse-denial cases to test fairness. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Inspect population completeness, test objective, sampling design, tolerable error and audit projection rules.
  2. Combine risk-weighted stratification and justified random sampling across consequential outcomes and populations.
  3. Claim an absence of observed harm proves no problem when the sample excluded the at-risk group.
  4. Inspect sampling frame, strata, selection method, base rates, exclusions and subgroup results.
  5. Reperform representative positive and negative controls using independently selected inputs and authorized challenge procedures.

Explanation

Correct Answers

B:

The reason it is necessary is: A statistically large aggregate sample may fail to capture rare but material AI failure conditions. This response fits the risk associated with Stratified sampling for rare AI harms: Combine risk-weighted stratification and justified random sampling across consequential outcomes and populations.

D:

The reason it is necessary is: A statistically large aggregate sample may fail to capture rare but material AI failure conditions. The corrective action is: Combine risk-weighted stratification and justified random sampling across consequential outcomes and populations.

Incorrect Answers

A:

This option concerns Attribute and variable sampling for AI controls, which is a related but different AI governance concern. The decisive principle here is: A statistically large aggregate sample may fail to capture rare but material AI failure conditions.

C:

This attractive shortcut does not resolve the Stratified sampling for rare AI harms weakness: Claim an absence of observed harm proves no problem when the sample excluded the at-risk group. For this situation: A credit model's audit sample randomly selects 200 approvals and contains no adverse-denial cases to test fairness.

E:

This option concerns Reperformance and adversarial audit test cases, which is a related but different AI governance concern. It does not establish control effectiveness for Stratified sampling for rare AI harms.

ISACA Advanced in AI Audit (AAIA) Practice Tests