新版AAIA題庫|高通過率 - VCESoft

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ISACA AAIA 考試大綱：

主題	簡介
主題 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.
主題 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.
主題 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.

>> 新版AAIA題庫 <<

最新的 Advanced in AI Audit AAIA 免費考試真題 (Q165-Q170):

問題 #165
An organization is adopting AI for its procurement and inventory teams, raising concern from stakeholders that they will lose their jobs due to AI. Which of the following is the BEST way for the IS auditor to assess whether the potential negative impacts were minimized?

A. Review how the project management team collected feedback in engagement activities.
B. Review the current state assessment of how AI may impact the organization.
C. Review the AI roadmap for short-term and long-term milestones.
D. Review human-centered design practices to determine how they were considered.

答案：D

解題說明：
Human-centered design (HCD) focuses on integrating stakeholder needs, ethical implications, and social impact into AI system development. The AAIA™ Study Guide emphasizes the role of HCD in minimizing negative workforce impacts and ensuring inclusive design.
"Auditors should review whether the AI system design process included human-centered practices- particularly for applications affecting jobs or critical human roles. HCD ensures responsible adoption." While feedback collection (C) and impact assessments (D) provide useful context, A directly addresses ethical impact mitigation at the design level.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Ethical and Legal Considerations in AI," Subsection: "Human-Centered AI and Workforce Impacts"

問題 #166
Which of the following techniques is MOST appropriate for model hyperparameter tuning?

A. Analysis of variance
B. F1 score analysis
C. Log-rank test
D. Bayesian optimization

答案：D

解題說明：
Hyperparameter tuning is the process of finding the optimal settings (like learning rate or depth) for an AI model. " Bayesian optimization " is an efficient, automated technique that builds a probability model of the objective function to select the most promising hyperparameters to test next. Unlike simple " grid search, " it saves significant time and computational cost. F1 score analysis is a way to measure the result of the tuning, but it is not the tuning method itself. Bayesian optimization is favored in advanced AI development for its ability to find optimal configurations in complex, multi-dimensional spaces.

問題 #167
An IS auditor notes the combined number of records utilized within the training, validation, and testing data sets exceeds the total number of records in the original data set. Which of the following is MOST important for the auditor to determine?

A. Whether data leakage occurred from utilizing overlapping records in the data sets
B. Whether the validation data set utilized the same number of records as the training data sets
C. Whether a sufficient number of records were utilized in the training data set
D. Whether the training, validation, and testing data sets were created in the correct order

答案：A

解題說明：
If the combined size of the training, validation, and testing sets exceeds the original data size, it suggests that records may have been reused across sets. This can lead to data leakage, where the model has access to test or validation information during training, resulting in overly optimistic performance metrics.
"Data leakage invalidates model evaluation because it introduces unintended data overlap. Auditors must ensure that the training, validation, and test sets are strictly partitioned." Options A, C, and D refer to process order or quantity, but only B addresses the root issue of compromised model integrity due to overlapping data.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Fundamentals and Technologies," Subsection: "Data Partitioning and Leakage Risks"

問題 #168
Which of the following presents the GREATEST risk when an organization deploys a machine learning model in a public cloud environment for real-time predictions?

A. The cloud provider has not adopted an ethical AI governance framework
B. AI model audit trails have not been comprehensively documented
C. The service level agreement (SLA) does not include network latency and inference guarantees
D. Cloud provider employees have limited AI skills

答案：C

解題說明：
In areal-time predictionenvironment (e.g., fraud detection, medical triage, automotive risk),latency and inference speeddirectly affect safety, accuracy, and business performance.
If the SLAdoes not include guarantees for latency, the model may fail to deliver predictions in time, leading to:
* Incorrect or delayed decisions
* Transaction failures
* Safety incidents in time-sensitive use cases
* Compliance violations in regulated domains
Although audit trails (B) and governance frameworks (D) are important, theoperational riskrelated to latency is the most immediate and severe.
Limited AI skills among cloud employees (A) is not directly relevant since customers maintain operational responsibility.
References:
AAIA Domain 2: AI Operations - Real-Time Systems, Performance Guarantees

問題 #169
A financial institution's credit-scoring model shows high accuracy overall but performs poorly for a specific demographic subgroup. What should the auditor recommend FIRST?

A. Immediately decommission the model
B. Increase the overall accuracy threshold
C. Add more features to the model
D. Investigate whether the training data underrepresents that subgroup and reassess fairness metrics

答案：D

解題說明：
Subgroup underperformance often stems from underrepresentation in training data. Root-cause analysis should precede any remediation decision such as retraining or decommissioning.

問題 #170
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2026 VCESoft最新的AAIA PDF版考試題庫和AAIA考試問題和答案免費分享：https://drive.google.com/open?id=1vlqCmMDEHp1AFHneJF4j7jZs7CYPHCkc

新版AAIA題庫|高通過率 - VCESoft

ISACA AAIA 考試大綱：

最新版的新版AAIA題庫，免費下載AAIA考試指南幫助妳通過AAIA考試

最新的 Advanced in AI Audit AAIA 免費考試真題 (Q165-Q170):