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NEW QUESTION # 20
An organization implementing an LLM application sees unexpected cost increases due to excessive computational resource usage. Which vulnerability is MOST likely in need of mitigation?
Answer: C
Explanation:
AAISM categorizes unbounded consumption (also known as "resource exhaustion" or "infinite queries") as an AI-specific vulnerability where attackers (or faulty prompts) trigger excessive computation, leading to high costs and degraded service.
This aligns precisely with unexpected large compute bills.
Excessive agency (A) refers to unsafe autonomy, while disclosure (B) and prompt leakage (D) do not relate to compute overuse.
References: AAISM Study Guide - AI Abuse and Unbounded Consumption Risk.
NEW QUESTION # 21
Which strategy is MOST effective for penetration testers assessing an AI model against membership inference attacks?
Answer: B
Explanation:
AAISM specifies that membership inference attacks often exploit unusually high confidence scores when the model encounters data points used during training. Penetration testers identify vulnerability by analyzing model confidence behavior across known and unknown samples.
Synthetic data (A) does not test inference leakage. Disabling logs (C) removes evidence and reduces visibility. Test-set accuracy (D) is unrelated.
References: AAISM Study Guide - AI Privacy Attacks; Membership Inference Testing Techniques.
NEW QUESTION # 22
An organization is facing a deepfake attack intended to manipulate stock prices. The organization's crisis communication plan has been activated. Which of the following is MOST important to include in the initial response?
Answer: D
Explanation:
AAISM guidance on crisis management and communication emphasizes that the initial priority in responding to a reputational or market manipulation attack is to provide accurate clarifying information to the public through a pre-approved statement. This ensures stakeholders and markets are given verified facts immediately, limiting the spread of misinformation. While forensic analysis, employee training, and monitoring activities are important, they occur after the immediate need for public trust and damage control is addressed. Pre-approved statements are a central control in AI-related incident response to ensure consistency, timeliness, and credibility in communications.
References:
AAISM Study Guide - AI Governance and Program Management (Incident Response and Crisis Communication) ISACA AI Security Management - Public Communication and Trust Preservation
NEW QUESTION # 23
Which of the following datasets is MOST appropriate to use when tuning an AI model's hyperparameters to improve performance?
Answer: C
Explanation:
The validation dataset is used to tune hyperparameters and optimize model performance while remaining separate from the training data, ensuring unbiased evaluation during the tuning process.
NEW QUESTION # 24
An organization decides to contract a vendor to implement a new set of AI libraries. Which of the following is MOST important to address in the master service agreement to protect data used during the AI training process?
Answer: A
Explanation:
AAISM emphasizes that the right to audit is the most critical contractual safeguard when outsourcing AI services. This allows the contracting organization to independently verify that the vendor is applying appropriate protections to training data, meeting compliance obligations, and upholding privacy requirements.
Pseudonymization is a technical method, monitoring is operational, and certifications provide external assurance, but none give the direct, enforceable oversight that audit rights provide. In vendor contracts, the right to audit is the primary safeguard for data protection and governance.
References:
AAISM Study Guide - AI Governance and Program Management (Third-Party Contracts and Audit Rights) ISACA AI Security Management - Vendor Governance Controls
NEW QUESTION # 25
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