AAIA practice questions 71–80

1. Question 71 · 124 in bank

   Which of the following are the MOST appropriate stages in the AI life cycle for evaluating edge cases?

   • APlan and design
   • BOperate and monitor
   • CCollect and process
   • DTest and verify

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   Answer: D

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2. Question 72 · 124 in bank

   Which of the following processes is MOST important for an organization to have in place to ensure the credibility of AI outputs?

   • AUser consent
   • BModel alignment
   • CData governance
   • DData analytics

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   Answer: C

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3. Question 73 · 124 in bank

   Which of the following should be applied to an AI system but are not typically used in traditional systems?

   • AControls to protect data privacy
   • BControls to monitor data poisoning
   • CControls to prevent data exfiltration
   • DControls to manage data governance

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   Answer: B

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4. Question 74 · 124 in bank

   Which of the following is the GREATEST benefit to an IS auditor using tree-based feature importance?

   • AIt determines which specific AI model is the most reliable for migration into production.
   • BIt identifies the parameters utilized by the AI model when drawing its conclusions.
   • CIt determines which specific AI model contains the most complete source data.
   • DIt identifies key data attributes influencing AI model conclusions.

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   Answer: D

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5. Question 75 · 124 in bank

   An internal audit department has noticed that AI generated audit reports are generating false conclusions. Which of the following is the BEST way to correct this issue?

   • AIncrease the model context.
   • BSuspend utilization of the tool until resolved.
   • CDecrease the model's creativity score.
   • DUpdate service level agreements (SLAs).

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   Answer: C

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6. Question 76 · 124 in bank

   A banking organization uses AI to support the credit scoring process. Which of the following is the GREATEST benefit of providing interpretations of AI model outputs?

   • AIt ensures the outputs align with the organization's internal ethical standards.
   • BIt helps auditors identify areas where the AI model may require retraining.
   • CIt allows stakeholders to understand the reasons behind the outputs.
   • DIt reduces the need for human oversight in the loan approval process.

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   Answer: C

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7. Question 77 · 124 in bank

   A data loss prevention (DLP) system was recently implemented to identify data retention policy compliance. Which of the following would be the BEST use of AI to collect evidence?

   • ADocument blockchain immutability as evidence of data integrity.
   • BRedirect workflows through automated monitoring tools.
   • CDeploy analytics to identify suspicious data transactions.
   • DApply natural language queries to identify sensitive information.

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   Answer: D

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8. Question 78 · 124 in bank

   An IS auditor is reviewing a data set used by a university to train a predictive machine learning (ML) model. Which of the following MOST likely indicates risk that the model could not process all data and make necessary correlations?

   • AStudent Number field in integer format
   • BGrade Level field in float format
   • CFinal Grade Percent field in object format
   • DHaving an undergraduate degree in Boolean format

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   Answer: C

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9. Question 79 · 124 in bank

   An IS auditor for a veterinary clinic was informed that the dog breed categorical variable within the data set is necessary for the predictive machine learning (ML) model conclusions. Which of the following introduces the MOST risk in this situation?

   • AData scaling was not utilized.
   • BClustering was not utilized.
   • COrdinal label encoding was utilized.
   • DOne-hot encoding was utilized.

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   Answer: C

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10. Question 80 · 124 in bank

    Which of the following is the PRIMARY advantage of using K-fold cross validation when evaluating the performance of a machine learning (ML) model?

    • AIt facilitates performing regressions on smaller data sets.
    • BIt helps minimize computational costs when evaluating complex models.
    • CIt enables the reduction of model bias by setting the K variable to higher values.
    • DIt uses multiple training and testing cycles to minimize overfitting.

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    Answer: D

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AAIA practice, question 71. 124 questions available.