Question 1

Which of the following is the MOST important task when gathering data during the AI system development process?

Options :

A : Stratifying the data

B : Isolating the system

C : Cleaning the data

D : Training the system

Answer: C

Question 2

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

Options :

A : Increased planning costs

B : Scope creep

C : Incomplete data

D : Limited knowledge

Answer: C

Question 3

An IS auditor reviewing documentation for an AI model notes that the modeler utilized a K-means clustering algorithm, which clusters data into categories for correlations and analysis. Which of the following is the MOST important risk for the auditor to consider?

Options :

A : K-means clustering is not a common data clustering method due to its complexity and difficulty categorizing data correctly.

B : K-means clustering requires the modeler to supervise the learning analysis, which can introduce bias.

C : K-means clustering algorithms are significantly sensitive to outliers and dependent on the similarity of units of measure.

D : K-means clustering determines the number of clusters for the modeler without supervision.

Answer: C

Question 4

A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?

Options :

A : Encrypting stored data to reduce exposure and log access

B : Updating the AI model with new data and tracking changes

C : Implementing strict data access controls and conducting security tests

D : Anonymizing patient data and performing regular quality checks

Answer: D

Question 5

Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization's business objectives?

Options :

A : AI model vulnerability assessment

B : AI change management requests

C : AI model inventory

D : AI acceptable use policy

Answer: C

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