AAIA practice questions 31–40

1. Question 31 · 124 in bank

   An AI model's documentation shows that the modeler utilized K-means clustering to categorize a data set that included a large volume of records. Which of the following is an advantage of using a K-means clustering algorithm for determining classification categories to group applicable data before it is inserted into the learning model?

   • AThe algorithm is unsupervised, which eliminates subjectivity and possible bias from data labeling.
   • BThe algorithm is supervised and can include the modeler's biases in the analysis.
   • CThe algorithm requires the modeler to specify the number of clusters, which significantly affects the outcome.
   • DThe algorithm is not significantly affected by outliers, resulting in less need for data cleansing.

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   Answer: A

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2. Question 32 · 124 in bank

   An IS auditor learns that the training data for an AI solution has insufficient representation. Which of the following would be the GREATEST risk in this situation?

   • AImbalance
   • BUnderfitting
   • COverfitting
   • DClustering

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   Answer: A

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3. Question 33 · 124 in bank

   Which of the following BEST improves predictions and understanding to refine the accuracy of AI models?

   • AData augmentation
   • BMean clustering
   • CPrompt templates
   • DData compression

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   Answer: A

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4. Question 34 · 124 in bank

   When auditing a research agency’s use of generative AI models for analyzing scientific data which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?

   • AThe measures in place to ensure the appropriateness and relevance of input data for generative AI models
   • BThe frequency of data audits verifying the integrity and accuracy of inputs
   • CThe algorithms for generative AI models designed to detect and correct data bias before processing
   • DThe effectiveness of data anonymization processes that help preserve data quality

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   Answer: A

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5. Question 35 · 124 in bank

   In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?

   • AConducting a comprehensive risk assessment specific to AI-related changes
   • BReviewing documentation for AI system changes, updates, and patches
   • CVerifying that all employees have completed mandatory AI ethics training
   • DEnsuring the organization has a dedicated AI governance committee

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   Answer: A

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6. Question 36 · 124 in bank

   An organization uses an AI-powered tool to detect and respond to cybersecurity threats in real time. An IS auditor finds that the tool produces excessive false positives, increasing the workload of the security team. Which of the following techniques should the auditor recommend to BEST evaluate the tool’s effectiveness in managing this issue?

   • AConduct penetration testing to assess the system’s ability to detect genuine threats.
   • BDeploy a machine learning (ML) validation tool to increase the model’s accuracy and performance.
   • CImplement a benchmarking tool to compare the system’s alerting capability with industry standards.
   • DUse a log analysis tool to examine the types and frequency of alerts generated.

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   Answer: D

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7. Question 37 · 124 in bank

   A model developer is looking to mitigate the risk of information loss within an imbalanced data set that contains majority and minority classes. Which of the following strategies would an IS auditor consider to be MOST appropriate?

   • AUndersampling to remove excess data points
   • BSplitting data into к-folds with cross-validation
   • CTuning the model’s hyperparameters
   • DOversampling to create new data points

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   Answer: D

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8. Question 38 · 124 in bank

   An organization is adopting AI for its procurement and inventory teams, raising concern from stakeholders that they will lose their jobs due to AI. Which of the following is the BEST way for the IS auditor to assess whether the potential negative impacts were minimized?

   • AReview human-centered design practices to determine how they were considered.
   • BReview how the project management team collected feedback in engagement activities.
   • CReview the current state assessment of how AI may impact the organization.
   • DReview the AI roadmap for short-term and long-term milestones.

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   Answer: A

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9. Question 39 · 124 in bank

   When evaluating the process flowchart of an AI machine learning (ML) model, which task should be performed FIRST to provide assurance that the model will function as intended?

   • AScale and standardize numerical variables.
   • BSplit the data set into training and test sets.
   • CApply the model algorithm.
   • DAddress imbalances in the data.

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   Answer: B

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10. Question 40 · 124 in bank

    Post-deployment, anomalies in logs suggest a conflict between a critical security patch and an AI model's inference engine. Which of the following is the BEST course of action?

    • AInvestigate the patch’s effect on the model.
    • BContact the patch vendor for support.
    • CReapply the patch and test the engine again.
    • DRestart the inference engine to clear conflicts.

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    Answer: A

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AAIA practice, question 31. 124 questions available.