Download ISACA Advanced in AI Audit.AAIA.Braindump2go.2026-01-28.49q.vcex

Vendor: ISACA
Exam Code: AAIA
Exam Name: ISACA Advanced in AI Audit
Date: Jan 28, 2026
File Size: 29 KB
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Demo Questions

Question 1
Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?
  1. Categorizing data used by the AI model
  2. Defining mitigation strategies for AI deployment
  3. Monitoring AI model performance on an ongoing basis
  4. Determining whether AI model outputs align with established use cases
Correct answer: B
Question 2
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?
  1. Review human-centered design practices to determine how they were considered.
  2. Review the AI roadmap for short-term and long-term milestones.
  3. Review how the project management team collected feedback in engagement activities.
  4. Review the current state assessment of how AI may impact the organization.
Correct answer: A
Question 3
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?
  1. Developing action items discussed in closing meetings for management action plans
  2. Developing a draft of an executive summary based on detailed findings and audit scope
  3. Revising audit conclusions with precise verbiage to describe the audit observations
  4. Revising audit background and scope information based on new information from management
Correct answer: B
Question 4
Which of the following is the PRIMARY purpose of an AI acceptable use policy?
  1. Establishing guidance on the ethical use of AI
  2. Outlining AI usage monitoring procedures
  3. Educating employees on where to find and how to use AI tools
  4. Explaining the distinction between different types of AI
Correct answer: A
Question 5
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?
  1. Document sources and data processes.
  2. Create dashboards to show outputs.
  3. Provide periodic model audit reports.
  4. Use tools that explain model decisions.
Correct answer: D
Question 6
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?
  1. Differences of opinion regarding model types
  2. Difficulties in preventing the input of biased data
  3. Performance issues due to excessive computation
  4. Algorithms changing as AI continues to learn
Correct answer: D
Question 7
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?
  1. Stress tests are regularly conducted to maintain consistent AI performance.
  2. The applied methodology adequately reflects business objectives.
  3. Sensitive attributes are converted to other data types prior to input.
  4. Sampling of AI output is conducted to identify unusual decisions.
Correct answer: B
Question 8
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?
  1. Requesting additional identity and address documents for verification
  2. Leveraging AI-based liveness detection during video verification
  3. Encrypting all customer data and communication
  4. Discontinuing the use of the video-based verification process
Correct answer: B
Question 9
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
  1. Cost of resources required for AI model training
  2. Number of users interacting with the AI model
  3. Frequency of AI model retraining
  4. AI model accuracy in predicting actual outcomes
Correct answer: D
Question 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?
  1. The effectiveness of data anonymization processes that help preserve data quality
  2. The algorithms for generative AI models designed to detect and correct data bias before processing
  3. The frequency of data audits verifying the integrity and accuracy of inputs
  4. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
Correct answer: D
Question 11
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?
  1. One-hot encoding the data attribute car colors for the options red, blue, green, black, white
  2. Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
  3. One-hot encoding the data attribute customer rewards category for the options economy, business, first class
  4. Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana
Correct answer: C
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