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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Passing Score: | 450 (out of 800) |
| Related Certifications: | CISM CISSP |
| Exam Format: | Scenario-based, Multiple-choice |
| Real Exam Qty: | 90 |
| Exam Duration: | 150 minutes |
| Exam Price: | US$459 (members), US$599 (non-members) |
| 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 |
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問題 #83
The CEO of a large multi-sector organization has learned that, in the absence of formal guidance, business units have created shadow IT by integrating AI into their daily operations. In response, an AI governance group has been created to address the issue. Which of the following is MOST important for the group to collect from each business unit?
答案：D
解題說明：
Establishing a comprehensive inventory of AI models in use provides immediate visibility into shadow IT, enabling the governance group to understand scope, assess risks, and prioritize controls. This foundational step is necessary before addressing operational practices or implementing governance measures.
問題 #84
Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?
答案：C
解題說明：
The AAISM governance framework specifies that the foundation of continuous monitoring is real-time tracking of key risk indicators. This ensures immediate detection of deviations, model drift, and operational anomalies. Automated alerts, dashboards, and reporting templates all support monitoring, but they rely on the presence of accurate, real-time KRI measurement as their source. Without live monitoring, the other controls are reactive rather than proactive. The most important course of action in establishing effective continuous monitoring is therefore real-time KRI tracking.
References:
AAISM Study Guide - AI Governance and Program Management (Continuous Monitoring and Assurance) ISACA AI Risk Guidance - Monitoring Key Risk Indicators
問題 #85
What BEST ensures a proper business continuity plan (BCP) for an AI solution?
答案：D
解題說明：
AAISM defines an AI BCP as requiring validated failover and recovery testing of AI components, including:
* model hosting environments
* model-serving APIs
* feature stores
* inference pipelines
Only Option B tests actual continuity of AI functionality.
Monitoring (A) detects issues but does not ensure continuity. Access controls (C) relate to security, not continuity. Backup detail (D) is insufficient without recovery testing.
References: AAISM Study Guide - AI Resilience and Disaster Recovery Validation.
問題 #86
Which of the following is the GREATEST concern when decommissioning an agentic AI system that autonomously generated transient identities and dynamically created code during its operation?
答案：A
解題說明：
Agentic AI systems that generate transient identities and dynamic code may leave behind residual artifacts, credentials, scripts, or processes after shutdown. These remnants could be exploited for unauthorized access or malicious activity, making persistence of artifacts the greatest security concern during decommissioning.
問題 #87
An organization is reviewing an AI application to determine whether it is still needed. Engineers have been asked to analyze the number of incorrect predictions against the total number of predictions made. Which of the following is this an example of?
答案：D
解題說明：
AAISM guidance identifies metrics like error rate versus total predictions as a key performance indicator (KPI) for evaluating AI model effectiveness. KPIs provide measurable values to assess performance against objectives. Model validation is broader and occurs prior to production use, testing the model against predefined standards. Control self-assessment relates to governance processes, not predictive accuracy.
Explainable decision-making refers to interpretability, not error-rate evaluation. Thus, analyzing incorrect predictions against total predictions is a performance measure, making it a KPI.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Performance Metrics and KPIs) AI Security Management Study Guide - Accuracy and Error Metrics
問題 #88
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AAISM真題材料: https://www.vcesoft.com/AAISM-pdf.html
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