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Isaca AAIA Practice Test 27

Question 260

An independent AI auditor reviews this case: A hospital fine-tunes a general assistant on patient notes without checking approved purposes or access constraints. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Validate intended secondary use against lawful basis, original purposes and documented governance before training.
  2. Inspect region endpoints, service architecture, contractual transfer mechanisms, subprocessor lists and logs.
  3. Assume internal ownership of raw data permits unrestricted model training for any unrelated objective.
  4. Minimize exposed attributes, redact unnecessary personal data and enforce purpose-bound access before model calls.
  5. Inspect notices, collection purposes, privacy review, access approvals, lineage and training-set membership.

Explanation

Correct Answers

A:

The reason it is necessary is: Availability of data inside a company does not imply every new AI training purpose is authorized. For this situation: A hospital fine-tunes a general assistant on patient notes without checking approved purposes or access constraints.

E:

The reason it is necessary is: Availability of data inside a company does not imply every new AI training purpose is authorized. The corrective action is: Validate intended secondary use against lawful basis, original purposes and documented governance before training.

Incorrect Answers

B:

This option concerns Cross-border AI data transfer mapping, which is a related but different AI governance concern. For this situation: A hospital fine-tunes a general assistant on patient notes without checking approved purposes or access constraints.

C:

For this situation: A hospital fine-tunes a general assistant on patient notes without checking approved purposes or access constraints.

D:

This option concerns Data minimization and PII in prompts, which is a related but different AI governance concern. For this situation: A hospital fine-tunes a general assistant on patient notes without checking approved purposes or access constraints.

Question 261

A governance and assurance review uncovers the following: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Assume internal ownership of raw data permits unrestricted model training for any unrelated objective.
  2. Require decision-level explanations proportionate to the use case, validated predictive benefit, documented limitations and a meaningful appeal path.
  3. Validate intended secondary use against lawful basis, original purposes and documented governance before training.
  4. Match the model family to the task, retain deterministic calculations where appropriate and validate generative outputs against trusted data and human review.

Explanation

Correct Answer

C:

The reason it is necessary is: Availability of data inside a company does not imply every new AI training purpose is authorized. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Incorrect Answers

A:

This attractive shortcut does not resolve the Purpose limitation in AI training data reuse weakness: Assume internal ownership of raw data permits unrestricted model training for any unrelated objective. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

B:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

D:

This option concerns Predictive versus generative model task fit, which is a related but different AI governance concern. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Question 262

A risk-based audit engagement examines this operating condition: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Model suitability depends on performance, explainability and consequences of errors; a marginal metric gain does not remove oversight obligations.
  2. Contractual no-training promises do not address independent log retention, indexing or deletion obligations.
  3. Assume internal ownership of raw data permits unrestricted model training for any unrelated objective.
  4. Availability of data inside a company does not imply every new AI training purpose is authorized.

Explanation

Correct Answer

D:

The acceptable verified outcome is: Only permitted records enter the use case, with documented restrictions and review of new purposes. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Incorrect Answers

A:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. For this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

B:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. The decisive principle here is: Availability of data inside a company does not imply every new AI training purpose is authorized.

C:

This attractive shortcut does not resolve the Purpose limitation in AI training data reuse weakness: Assume internal ownership of raw data permits unrestricted model training for any unrelated objective. For this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Question 263

An audit committee asks for a defensible assessment of this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Inspect notices, collection purposes, privacy review, access approvals, lineage and training-set membership.
  2. Review data categories, stakeholder impacts, alternatives, lawful basis, accuracy and mitigation decisions.
  3. Inspect use-case criticality, model comparison, reason-code fidelity, feature lineage, adverse-decision samples and appeal test results.
  4. Assume internal ownership of raw data permits unrestricted model training for any unrelated objective.

Explanation

Correct Answer

A:

The acceptable verified outcome is: Only permitted records enter the use case, with documented restrictions and review of new purposes.

Incorrect Answers

B:

This option concerns Privacy impact assessment for biometric AI, which is a related but different AI governance concern. In this case: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

C:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. The audit must corroborate: Inspect notices, collection purposes, privacy review, access approvals, lineage and training-set membership.

D:

For this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Question 264

During an AI controls assessment, the team learns that a retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Only permitted records enter the use case, with documented restrictions and review of new purposes.
  2. Assume internal ownership of raw data permits unrestricted model training for any unrelated objective.
  3. Selected components meet task-specific accuracy, controllability and auditability tests on representative work.
  4. Deletion requests remove or appropriately constrain applicable copies within documented policy and legal requirements.

Explanation

Correct Answer

A:

The reason it is necessary is: Availability of data inside a company does not imply every new AI training purpose is authorized. This is an observable validation result for Purpose limitation in AI training data reuse, not just management assurance: Only permitted records enter the use case, with documented restrictions and review of new purposes.

Incorrect Answers

B:

It misses the key control principle: Availability of data inside a company does not imply every new AI training purpose is authorized.

C:

This option concerns Predictive versus generative model task fit, which is a related but different AI governance concern. For this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

D:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. For this situation: A retailer reuses children's customer support transcripts for a public generative model without a lawful-purpose review.

Question 265

An independent AI auditor reviews this case: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Send all available sensitive context to improve answer quality without measuring necessity.
  2. Minimize exposed attributes, redact unnecessary personal data and enforce purpose-bound access before model calls.
  3. Map international processing locations and lawful transfer safeguards through vendors, subprocessors and backups.
  4. Require decision-level explanations proportionate to the use case, validated predictive benefit, documented limitations and a meaningful appeal path.

Explanation

Correct Answer

B:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. The acceptable verified outcome is: Normal tasks succeed with reduced personal information and prohibited fields do not enter model requests.

Incorrect Answers

A:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity.

C:

This option concerns Cross-border AI data transfer mapping, which is a related but different AI governance concern. It does not establish control effectiveness for Data minimization and PII in prompts.

D:

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 Data minimization and PII in prompts.

Question 266

A governance and assurance review uncovers the following: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.

  1. Model suitability depends on performance, explainability and consequences of errors; a marginal metric gain does not remove oversight obligations.
  2. Send all available sensitive context to improve answer quality without measuring necessity.
  3. Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages.
  4. Availability of data inside a company does not imply every new AI training purpose is authorized.

Explanation

Correct Answer

C:

The acceptable verified outcome is: Normal tasks succeed with reduced personal information and prohibited fields do not enter model requests. In this case: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

Incorrect Answers

A:

This option concerns Explainable credit-model selection for adverse decisions, which is a related but different AI governance concern. For this situation: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

B:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity. For this situation: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

D:

This option concerns Purpose limitation in AI training data reuse, which is a related but different AI governance concern. It does not establish control effectiveness for Data minimization and PII in prompts.

Question 267

A risk-based audit engagement examines this operating condition: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.

  1. Send all available sensitive context to improve answer quality without measuring necessity.
  2. Inspect provider terms, retention schedules, index lifecycle, backups, deletion tickets and test identifiers.
  3. Inspect data flows, prompt logs, retrieval chunks, masking controls and representative least-data tests.
  4. Inspect notices, collection purposes, privacy review, access approvals, lineage and training-set membership.

Explanation

Correct Answer

C:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. In this case: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

Incorrect Answers

A:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity. The auditor should instead examine: Inspect data flows, prompt logs, retrieval chunks, masking controls and representative least-data tests.

B:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. It does not establish control effectiveness for Data minimization and PII in prompts.

D:

This option concerns Purpose limitation in AI training data reuse, which is a related but different AI governance concern. For this situation: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

Question 268

An audit committee asks for a defensible assessment of this situation: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.

  1. Send all available sensitive context to improve answer quality without measuring necessity.
  2. Selected components meet task-specific accuracy, controllability and auditability tests on representative work.
  3. Deletion requests remove or appropriately constrain applicable copies within documented policy and legal requirements.
  4. Normal tasks succeed with reduced personal information and prohibited fields do not enter model requests.

Explanation

Correct Answer

D:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. This is an observable validation result for Data minimization and PII in prompts, not just management assurance: Normal tasks succeed with reduced personal information and prohibited fields do not enter model requests.

Incorrect Answers

A:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity. Effective closure requires: Normal tasks succeed with reduced personal information and prohibited fields do not enter model requests.

B:

This option concerns Predictive versus generative model task fit, which is a related but different AI governance concern. It does not establish control effectiveness for Data minimization and PII in prompts.

C:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. For this situation: An internal finance assistant sends entire payroll records to a model when employees ask for one aggregate figure.

Question 269

During an AI controls assessment, the team learns that a claims bot includes identity-card images in context even when only policy number is required. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.

  1. Minimize exposed attributes, redact unnecessary personal data and enforce purpose-bound access before model calls.
  2. Validate intended secondary use against lawful basis, original purposes and documented governance before training.
  3. Send all available sensitive context to improve answer quality without measuring necessity.
  4. Define defensible retention, deletion and downstream propagation processes with technical evidence of execution.

Explanation

Correct Answer

A:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. In this case: A claims bot includes identity-card images in context even when only policy number is required.

Incorrect Answers

B:

This option concerns Purpose limitation in AI training data reuse, which is a related but different AI governance concern. The decisive principle here is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages.

C:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity. In this case: A claims bot includes identity-card images in context even when only policy number is required.

D:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. The decisive principle here is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages.

Question 270

An independent AI auditor reviews this case: A claims bot includes identity-card images in context even when only policy number is required. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.

  1. Minimize exposed attributes, redact unnecessary personal data and enforce purpose-bound access before model calls.
  2. Inspect provider terms, retention schedules, index lifecycle, backups, deletion tickets and test identifiers.
  3. Inspect data flows, prompt logs, retrieval chunks, masking controls and representative least-data tests.
  4. Send all available sensitive context to improve answer quality without measuring necessity.
  5. Validate intended secondary use against lawful basis, original purposes and documented governance before training.

Explanation

Correct Answers

A:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. For this situation: A claims bot includes identity-card images in context even when only policy number is required.

C:

The reason it is necessary is: Data minimization reduces privacy exposure at input, storage, retrieval and telemetry stages. This evidence directly tests the asserted control for Data minimization and PII in prompts: Inspect data flows, prompt logs, retrieval chunks, masking controls and representative least-data tests.

Incorrect Answers

B:

This option concerns AI inference retention and right-to-erasure handling, which is a related but different AI governance concern. For this situation: A claims bot includes identity-card images in context even when only policy number is required.

D:

This attractive shortcut does not resolve the Data minimization and PII in prompts weakness: Send all available sensitive context to improve answer quality without measuring necessity. For this situation: A claims bot includes identity-card images in context even when only policy number is required.

E:

This option concerns Purpose limitation in AI training data reuse, which is a related but different AI governance concern. For this situation: A claims bot includes identity-card images in context even when only policy number is required.

ISACA Advanced in AI Audit (AAIA) Practice Tests