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Test ISACA AAIA Dates - AAIA Exam Review
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Correct Test AAIA Dates | Easy To Study and Pass Exam at first attempt & Pass-Sure ISACA ISACA Advanced in AI Audit
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| 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.
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| Topic 2 |
- 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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| Topic 3 |
- 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.
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ISACA Advanced in AI Audit Sample Questions (Q84-Q89):
NEW QUESTION # 84
When utilizing a machine learning (ML) model to predict whether a wind turbine electricity generator will fail, which model evaluation metric should be the PRIMARY focus?
- A. Precision
- B. Accuracy
- C. Recall
- D. Specificity
Answer: C
NEW QUESTION # 85
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?
- A. Clustered data sets
- B. Labeled data sets
- C. Randomized data sets
- D. Unlabeled data sets
Answer: B
NEW QUESTION # 86
The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:
- A. significantly reduce data bias.
- B. eliminate the need for human intervention.
- C. identify complex data patterns.
- D. ensure full compliance with regulations.
Answer: C
NEW QUESTION # 87
In order to streamline operations, a bank has deployed an AI application to automatically detect and prevent further fraud on accounts. However, customers have voiced concerns that their usual transactions are being rejected. Which of the following is the MOST likely cause of the false positives?
- A. Consent is not properly managed.
- B. The hyperparameters are not optimized.
- C. Compute scale training was not performed.
- D. Data versioning controls were not developed.
Answer: B
NEW QUESTION # 88
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. Frequency of data quality audits on the organization's data sets
- B. Number of AI projects completed within the last fiscal year
- C. Total budget allocated to AI initiatives across all departments
- D. Percentage of AI models with documented data lineage
Answer: D
NEW QUESTION # 89
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