AAIA 시험 - ISACA실제시험문제와 답 - 90문항

Question No : 1

During an audit of an investment organization's AI-powered software, an IS auditor identifies a potential security risk.
What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?

A.Data contamination due to biased AI model outputs
B.Unauthorized data disclosure
C.Potential business disruptions
D.Excessive reliance on AI-generated insights

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Question No : 2

An IS auditor notes the combined number of records utilized within the training, validation, and testing data sets exceeds the total number of records in the original data set.
Which of the following is MOST important for the auditor to determine?

A.Whether the training, validation, and testing data sets were created in the correct order
B.Whether data leakage occurred from utilizing overlapping records in the data sets
C.Whether a sufficient number of records were utilized in the training data set
D.Whether the validation data set utilized the same number of records as the training data sets

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Question No : 3

Which of the following is the GREATEST risk associated with using AI in audit planning?

A.Increased planning costs
B.Scope creep
C.Incomplete data
D.Limited knowledge

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Question No : 4

An organization's system development process has been enhanced with AI.
Which of the following features presents the GREATEST risk?

A.The AI allocates resources for new system development projects.
B.Non-technical users are validating AI results.
C.The AI personalizes applications for the user.
D.All codes are generated by AI without human oversight.

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Question No : 5

To confirm the fairness of AI model decisions, the BEST way to collect reliable evidence during an AI audit is by:

A.Analyzing system metadata.
B.Testing the model with a curated sample data set.
C.Interviewing developers.
D.Observing the system’s interactions with end users.

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Question No : 6

Which of the following BEST detects model drift or unexpected changes in AI model outputs?

A.Standardization of AI configurations
B.Anomaly monitoring
C.AI model documentation reviews
D.AI model retraining

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Question No : 7

Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

A.Number of AI projects completed within the last fiscal year
B.Percentage of AI models with documented data lineage
C.Frequency of data quality audits on the organization's data sets
D.Total budget allocated to AI initiatives across all departments

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Question No : 8

A retail organization uses an AI model to forecast inventory based on customer purchasing trends and updates the model quarterly. The model recently failed to recognize a surge in demand during a popular shopping season.
Which of the following issues does this situation BEST demonstrate?

A.Limited data set diversity impacting model training
B.Data drift impacting system forecasting
C.Overfitting issues due to a small training data set
D.Lack of outlier checks in data affecting forecast accuracy

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Question No : 9

When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?

A.One-hot encoding the data attribute car colors for the options red, blue, green, black, white
B.Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
C.One-hot encoding the data attribute customer rewards category for the options economy, business, first class
D.Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana

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Question No : 10

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?

A.The effectiveness of data anonymization processes that help preserve data quality
B.The algorithms for generative AI models designed to detect and correct data bias before processing
C.The frequency of data audits verifying the integrity and accuracy of inputs
D.The measures in place to ensure the appropriateness and relevance of input data for generative AI models

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Question No : 11

Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?

A.Cost of resources required for AI model training
B.Number of users interacting with the AI model
C.Frequency of AI model retraining
D.AI model accuracy in predicting actual outcomes

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Question No : 12

A bank uses a video-based know your customer (KYC) verification process. Cybercriminals exploit this process by using deepfake technology to impersonate bank customers.
Which of the following countermeasures is the BEST way for the bank to mitigate this risk?

A.Requesting additional identity and address documents for verification
B.Leveraging AI-based liveness detection during video verification
C.Encrypting all customer data and communication
D.Discontinuing the use of the video-based verification process

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Question No : 13

For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history.
Verifying which of the following would BEST validate the effectiveness of this process?

A.Stress tests are regularly conducted to maintain consistent AI performance.
B.The applied methodology adequately reflects business objectives.
C.Sensitive attributes are converted to other data types prior to input.
D.Sampling of AI output is conducted to identify unusual decisions.

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Question No : 14

Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

A.Differences of opinion regarding model types
B.Difficulties in preventing the input of biased data
C.Performance issues due to excessive computation
D.Algorithms changing as AI continues to learn

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Question No : 15

While evaluating a complex machine learning (ML) model used for regulatory compliance in a financial institution, which of the following should the IS auditor do to BEST ensure transparency?

A.Document sources and data processes.
B.Create dashboards to show outputs.
C.Provide periodic model audit reports.
D.Use tools that explain model decisions.

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