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  • Premium File: 99 Questions & Answers. Last update: Oct 27, 2026
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  • Study Guide: 407 Pages
  • Latest Questions
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Google Generative AI Leader Practice Test 80

Question 790

An AI project must delete prompt logs after a contracted period. What control implements this?

  1. Access restriction
  2. Data anonymization
  3. Consent and lawful basis
  4. Retention and deletion

Explanation

Correct Answer

D:

Retention and deletion policies define lifecycle limits. Retention policies govern how long sensitive prompts, logs and source data remain stored.

Incorrect Answers

A:

Access restriction limits sensitive records to authorized identities and purposes. This does not directly meet the case requirement to enforce timely removal of stored conversations.

B:

Anonymization aims to remove or transform identifiers so individuals cannot reasonably be reidentified. This does not directly meet the case requirement to enforce timely removal of stored conversations.

C:

Consent and legal-basis governance checks whether a specific personal-data use is permitted. This does not directly meet the case requirement to enforce timely removal of stored conversations.

Question 791

A benefits eligibility assistant recommends rejection, but policy requires qualified staff to decide. Which control is essential?

  1. Human oversight
  2. Incident and appeal process
  3. Traceable source attribution
  4. Model documentation

Explanation

Correct Answer

A:

Humans should remain accountable for consequential determinations. Human oversight ensures accountable people can review sensitive model-supported decisions.

Incorrect Answers

B:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to require staff review for benefits decisions.

C:

Source attribution links conclusions to verifiable data or documents. This does not directly meet the case requirement to require staff review for benefits decisions.

D:

Documentation records intended use, limitations, evaluations and governance decisions. This does not directly meet the case requirement to require staff review for benefits decisions.

Question 792

A customer asks which policy excerpt supports an AI claim about a contract. What transparency mechanism helps?

  1. Model documentation
  2. Traceable source attribution
  3. Human oversight
  4. Fairness monitoring

Explanation

Correct Answer

B:

Attribution connects claims to checkable sources. Source attribution links conclusions to verifiable data or documents.

Incorrect Answers

A:

Documentation records intended use, limitations, evaluations and governance decisions. This does not directly meet the case requirement to provide traceable evidence for model outputs.

C:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to provide traceable evidence for model outputs.

D:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to provide traceable evidence for model outputs.

Question 793

A credit scoring dataset contains wrong income information for many applicants. What corrective activity comes first?

  1. Traceable source attribution
  2. Incident and appeal process
  3. Human oversight
  4. Data quality remediation

Explanation

Correct Answer

D:

Poor input quality can invalidate downstream fairness and accuracy. Quality remediation corrects inaccurate, incomplete or skewed underlying records.

Incorrect Answers

A:

Source attribution links conclusions to verifiable data or documents. This does not directly meet the case requirement to repair erroneous source data.

B:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to repair erroneous source data.

C:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to repair erroneous source data.

Question 794

An AI system's errors rise sharply for one demographic group after a data update. What ongoing practice should detect this?

  1. Human oversight
  2. Data quality remediation
  3. Incident and appeal process
  4. Fairness monitoring

Explanation

Correct Answer

D:

Subgroup monitoring reveals disparate degradation. Fairness monitoring tracks subgroup performance over time.

Incorrect Answers

A:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to watch fairness after production changes.

B:

Quality remediation corrects inaccurate, incomplete or skewed underlying records. This does not directly meet the case requirement to watch fairness after production changes.

C:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to watch fairness after production changes.

Question 795

A customer was incorrectly denied a service by an automated recommendation. What governance mechanism offers recourse?

  1. Human oversight
  2. Data quality remediation
  3. Incident and appeal process
  4. Fairness monitoring

Explanation

Correct Answer

C:

Appeals allow errors to be contested and corrected. An appeal process lets affected individuals challenge and correct harmful outcomes.

Incorrect Answers

A:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to provide a human-accessible remedy process.

B:

Quality remediation corrects inaccurate, incomplete or skewed underlying records. This does not directly meet the case requirement to provide a human-accessible remedy process.

D:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to provide a human-accessible remedy process.

Question 796

A regulator requests evidence of model limits, training assumptions and evaluation results. What artifact should be maintained?

  1. Data quality remediation
  2. Fairness monitoring
  3. Incident and appeal process
  4. Model documentation

Explanation

Correct Answer

D:

Documentation records intended scope and risks. Documentation records intended use, limitations, evaluations and governance decisions.

Incorrect Answers

A:

Quality remediation corrects inaccurate, incomplete or skewed underlying records. This does not directly meet the case requirement to retain a model's governance and test record.

B:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to retain a model's governance and test record.

C:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to retain a model's governance and test record.

Question 797

A generative assistant drafts legal guidance that a lawyer must authorize before clients rely on it. Which safeguard is involved?

  1. Fairness monitoring
  2. Data quality remediation
  3. Human oversight
  4. Incident and appeal process

Explanation

Correct Answer

C:

Human oversight supplies professional accountability. Human oversight ensures accountable people can review sensitive model-supported decisions.

Incorrect Answers

A:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to review sensitive generated legal claims.

B:

Quality remediation corrects inaccurate, incomplete or skewed underlying records. This does not directly meet the case requirement to review sensitive generated legal claims.

D:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to review sensitive generated legal claims.

Question 798

An AI report quotes a number from a source document and stakeholders need to verify it. Which mechanism supports auditing?

  1. Human oversight
  2. Fairness monitoring
  3. Traceable source attribution
  4. Incident and appeal process

Explanation

Correct Answer

C:

Traceable citations allow fact checking. Source attribution links conclusions to verifiable data or documents.

Incorrect Answers

A:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to link facts to underlying source passages.

B:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to link facts to underlying source passages.

D:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to link facts to underlying source passages.

Question 799

A language model gives poor guidance because its knowledge base is outdated and inconsistent. What should the team fix?

  1. Incident and appeal process
  2. Fairness monitoring
  3. Model documentation
  4. Data quality remediation

Explanation

Correct Answer

D:

Input data quality and freshness drive answer reliability. Quality remediation corrects inaccurate, incomplete or skewed underlying records.

Incorrect Answers

A:

An appeal process lets affected individuals challenge and correct harmful outcomes. This does not directly meet the case requirement to correct inconsistent source records.

B:

Fairness monitoring tracks subgroup performance over time. This does not directly meet the case requirement to correct inconsistent source records.

C:

Documentation records intended use, limitations, evaluations and governance decisions. This does not directly meet the case requirement to correct inconsistent source records.

Question 800

An employee contests an inaccurate AI-generated performance assessment. Which governance process should exist?

  1. Incident and appeal process
  2. Human oversight
  3. Data quality remediation
  4. Traceable source attribution

Explanation

Correct Answer

A:

An appeal mechanism enables challenge and correction. An appeal process lets affected individuals challenge and correct harmful outcomes.

Incorrect Answers

B:

Human oversight ensures accountable people can review sensitive model-supported decisions. This does not directly meet the case requirement to offer recourse for consequential automated recommendations.

C:

Quality remediation corrects inaccurate, incomplete or skewed underlying records. This does not directly meet the case requirement to offer recourse for consequential automated recommendations.

D:

Source attribution links conclusions to verifiable data or documents. This does not directly meet the case requirement to offer recourse for consequential automated recommendations.

Generative AI Leader Practice Tests

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