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AAIA Practice Questions

ISACA Advanced in AI Audit (AAIA)

Last Update 4 days ago
Total Questions : 180

Dive into our fully updated and stable AAIA practice test platform, featuring all the latest Advanced in AI Audit exam questions added this week. Our preparation tool is more than just a Isaca study aid; it's a strategic advantage.

Our Advanced in AI Audit practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AAIA. Use this test to pinpoint which areas you need to focus your study on.

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Question # 1

A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?

Options:

A.  

The clustering requires more data, increasing the risk of a privacy breach.

B.  

Clustering increases the complexity of the model, making data harder to anonymize.

C.  

Irrelevant features in the data may result in inaccurate or biased treatments.

D.  

Clusters can reveal sensitive personal information depending on how the information is presented.

Discussion 0
Question # 2

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?

Options:

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

Discussion 0
Question # 3

Which of the following is the MOST effective control to safeguard a model’s architecture, weights, and hyperparameters?

Options:

A.  

Provide training to employees on best practices for AI technical security

B.  

Require users to sign a confidentiality agreement before accessing the model

C.  

Maintain detailed data audit logs of deviations in training data

D.  

Implement strict access controls and encryption for model components

Discussion 0
Question # 4

Which of the following is MOST important to have in place when initially populating data into a data frame for an AI model?

Options:

A.  

The box charts, histograms, scatterplots, and Venn diagrams that identify correlations and outliers

B.  

The code for separating data into training and testing data sets

C.  

An analysis of exploratory data that checks for incorrect data types, null values, and duplicate entries

D.  

An approved risk assessment for including, excluding, or subsequently dropping data attributes from the model

Discussion 0
Question # 5

An IS auditor is assessing the implementation of AI tools for evidence collection involving multiple data sources. Which of the following outcomes BEST indicates that AI-driven evidence collection has improved the audit process?

Options:

A.  

Extended reporting timelines that allow for AI model retraining

B.  

Reduced time spent gathering data with fewer errors in evidence compilation

C.  

Elimination of human judgment in data and evidence analysis

D.  

Ability to rely on unstructured data with minimal cleansing

Discussion 0
Question # 6

During a walk-through, an IS auditor observes an AI engineer entering a prompt that manipulates the AI model’s behavior. Which of the following is the BEST control to prevent this?

Options:

A.  

Enforce an input/output template

B.  

Deploy adversarial training

C.  

Encrypt the underlying data

D.  

Retrain the model immediately

Discussion 0
Question # 7

An AI healthcare diagnostic tool requires large volumes of patient data, raising concerns about privacy and data breaches. Which of the following is the MOST effective strategy to mitigate this risk?

Options:

A.  

Encrypt the data and transmit it through a secure channel.

B.  

Limit the tool's access to only publicly available datasets.

C.  

Collect data from all patients to use for data analysis.

D.  

Use synthetic data or anonymized data sets for model training.

Discussion 0
Question # 8

What should be done FIRST when an AI-powered chatbot starts giving incorrect financial advice after a backend API change?

Options:

A.  

Push a patch to improve chatbot response speed.

B.  

Add more rules to override the model's output.

C.  

Retrain the model with historical and updated data.

D.  

Suspend the chatbot and assess the impact.

Discussion 0
Question # 9

An organization has deployed a generative AI system for customer support that includes frequent updates to the AI model after deployment. Which of the following represents the GREATEST risk?

Options:

A.  

Lack of a change management policy specific to AI

B.  

Overreliance on manual review of AI model outputs

C.  

Lack of continuous monitoring for model changes

D.  

Lack of a dedicated AI governance committee

Discussion 0
Question # 10

Which of the following is the MOST important reason to perform regular ethical reviews of AI systems?

Options:

A.  

To improve the accuracy and performance of the systems

B.  

To align AI system development with organizational values and principles

C.  

To ensure the systems align with the preservation of individual rights

D.  

To identify and mitigate potential data drift within models

Discussion 0
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