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AAIA Actual Tests & AAIA Latest Exam Dumps

Due to extremely high competition, passing the ISACA Advanced in AI Audit (AAIA) exam is not easy; however, possible. You can use BraindumpsVCE products to pass the AAIA exam on the first attempt. The ISACA Advanced in AI Audit (AAIA) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the ISACA Advanced in AI Audit (AAIA) exam on the first attempt. BraindumpsVCE AAIA Questions have helped thousands of candidates to achieve their professional dreams.

ISACA AAIA Exam Syllabus Topics:

Topic
Details

Topic 1

AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.

Topic 2

AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.

Topic 3

Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.

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ISACA Advanced in AI Audit Sample Questions (Q82-Q87):

NEW QUESTION # 82
Which of the following is MOST important to review in order to gain assurance that an AI model is performing without biases?

A. AI model adaptability
B. AI model temperature
C. AI training data
D. AI development environment

Answer: C

NEW QUESTION # 83
Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?

A. Determining whether AI model outputs align with established use cases
B. Defining mitigation strategies for AI deployment
C. Monitoring AI model performance on an ongoing basis
D. Categorizing data used by the AI model

Answer: B

NEW QUESTION # 84
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?

A. Unlabeled data sets
B. Randomized data sets
C. Labeled data sets
D. Clustered data sets

Answer: C

NEW QUESTION # 85
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?

A. K-means clustering determines the number of clusters for the modeler without supervision.
B. K-means clustering is not a common data clustering method due to its complexity and difficulty categorizing data correctly.
C. K-means clustering requires the modeler to supervise the learning analysis, which can introduce bias.
D. K-means clustering algorithms are significantly sensitive to outliers and dependent on the similarity of units of measure.

Answer: D

NEW QUESTION # 86
Which of the following is an IS auditor's MOST important course of action when determining whether source data should be entered into approved generative AI tools to assist with an audit?

A. Validate that the tool is leveraging the latest model.
B. Determine whether any AI model hallucinations have occurred.
C. Validate that the tool provides a privacy notice.
D. Determine whether the information is reliable.

Answer: D

NEW QUESTION # 87
......

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