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NEW QUESTION # 379
Which of the following is the MOST effective way to identify deepfakes generated by AI?
Answer: D
Explanation:
Analyzing biometric inconsistencies is the most effective method because deepfakes often fail to perfectly replicate natural human physiological and behavioral characteristics such as facial movements, blinking patterns, voice characteristics, or lip synchronization. These inconsistencies provide strong indicators of AI-generated manipulation.
NEW QUESTION # 380
Which of the following AI-driven systems should have the MOST stringent recovery time objective (RTO)?
Answer: C
Explanation:
AAISM risk guidance notes that the most stringent recovery objectives apply to industrial control systems, as downtime can directly disrupt critical infrastructure, manufacturing, or safety operations. Health support systems also require high availability, but industrial control often underpins safety-critical and real-time environments where delays can result in catastrophic outcomes. Credit risk models and navigation systems are important but less critical in terms of immediate physical and operational impact. Thus, industrial control systems require the tightest RTO.
NEW QUESTION # 381
An organization plans to use a natural language processing (NLP) system that processes and analyzes sensitive data. The data science team has proposed storing all raw text data indefinitely for potential model improvements and additional analytics. Which of the following is the BEST course of action?
Answer: C
Explanation:
Establishing data retention limits based on legitimate purpose ensures sensitive data is only stored as long as necessary, reducing privacy risk and aligning with data protection principles and regulatory requirements.
NEW QUESTION # 382
In a new supply chain management system, AI models used by participating parties are interactively connected to generate advice in support of management decision making. Which of the following is the GREATEST challenge related to this architecture?
Answer: B
Explanation:
When multiple AI models interact in a connected supply chain system, risks can propagate and compound across models. Assessing the overall, aggregate risk - including errors, biases, or failures from individual models - is challenging but critical for ensuring reliable and safe decision- making.
NEW QUESTION # 383
From a risk perspective, which of the following is the MOST important step when implementing an adoption strategy for AI systems?
Answer: D
Explanation:
AAISM guidance states that when adopting AI, the most important step is to conduct a risk assessment and update the enterprise risk register. This ensures AI-specific risks are identified, documented, and integrated into the organization's existing governance structures. Benchmarking peers provides context but does not address internal risk. Implementing methodologies and frameworks are important, but they precede or follow the assessment process. The decisive step that connects adoption to enterprise risk governance is updating the risk register with AI-specific risks.
References:
AAISM Study Guide - AI Risk Management (Integration with Enterprise Risk Management) ISACA AI Security Management - Risk Assessment and Register Updates
NEW QUESTION # 384
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