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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Exam Price: | US$459 (members), US$599 (non-members) |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple-choice, Scenario-based |
| Real Exam Qty: | 90 |
| Passing Score: | 450 (out of 800) |
| Related Certifications: | CISSP CISM |
| Exam Duration: | 150 minutes |
| Recommended Training: | ISACA Official AAISM Training |
| Exam Registration: | ISACA AAISM Registration |
| Sample Questions: | ISACA AAISM Sample Questions |
| Exam Way: | Computer-based; available at authorized PSI testing centers or via remote proctoring |
| Pre Condition: | Hold an active CISM or CISSP certification |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline |
Actual4dump ISACA AAISM Exam Questions And Answers provide you test preparation information with everything you need. About ISACA AAISM exam, you can find these questions from different web sites or books, but the key is logical and connected. Our questions and answers will not only allow you effortlessly through the exam first time, but also can save your valuable time.
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NEW QUESTION # 71
When creating a use case for an AI model that provides sensitive decisions affecting end users, which of the following is the GREATEST benefit of using model cards?
Answer: C
Explanation:
AAISM highlights that model cards are a governance tool designed to document ethical considerations, limitations, fairness constraints, data sources, and suitability of use cases for AI models-especially when they affect individuals' rights, opportunities, or access to services.
Their greatest value is providing transparency and ethical clarity, ensuring stakeholders understand risks, bias considerations, and how decisions impact users.
Deployment instructions (B) are not part of model cards. They do not reduce data needs (C), nor is model type selection (D) their primary purpose.
References: AAISM Study Guide - AI Governance Documentation; Transparency and Model Cards.
NEW QUESTION # 72
Which of the following is MOST important to monitor in order to ensure the effectiveness of an organization' s AI vendor management program?
Answer: A
Explanation:
The AAISM framework specifies that the primary metric of effectiveness in vendor management is the vendor's compliance with AI-related requirements defined in contracts and governance frameworks. This provides measurable assurance that vendors adhere to agreed-upon privacy, security, and ethical standards.
Reviews of threat reports, training results, or research participation are supplemental and may support continuous improvement, but they do not establish compliance accountability. Governance requires a direct focus on whether contractual and regulatory obligations are being fulfilled. Therefore, vendor compliance with AI requirements is the most important monitoring focus.
References:
AAISM Study Guide - AI Risk Management (Third-Party Risk Oversight)
ISACA AI Security Management - Vendor Compliance Monitoring
NEW QUESTION # 73
What is the PRIMARY purpose of a dedicated AI management system policy?
Answer: A
Explanation:
AAISM states that an AI management system policy provides organizational structure by:
- defining AI objectives
- aligning governance
- outlining accountability
- defining roles, responsibilities, and guiding principles
NEW QUESTION # 74
Which of the following is the BEST mitigation control for membership inference attacks on AI systems?
Answer: A
Explanation:
Membership inference attacks attempt to determine whether a particular data point was part of a model's training set, which risks violating privacy. The AAISM study guide highlights differential privacy as the most effective mitigation because it introduces mathematical noise that obscures individual contributions without significantly degrading model performance. Ensemble methods improve robustness but do not specifically protect privacy. Threat modeling and red teaming help identify risks but are not direct controls. The explicit mitigation control aligned with privacy preservation for membership inference is differential privacy.
NEW QUESTION # 75
The extent of stakeholder engagement in generative AI policy development PRIMARILY depends on the:
Answer: A
Explanation:
The level of stakeholder engagement should be driven by how significantly AI use can affect the organization, including risks, ethical considerations, and business outcomes. Greater potential impact requires broader and deeper stakeholder involvement to ensure appropriate governance and risk management.
NEW QUESTION # 76
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