最新AAIA考題，AAIA考古題介紹

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ISACA AAIA Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Audit
Exam Number:	AAIA
Available Languages:	English
Related Certifications:	ACCA CIA CPA CISA FCCA
Passing Score:	65%
Exam Duration:	120 minutes
Exam Format:	Computer-Based, Remotely Proctored, Multiple Choice
Real Exam Qty:	90
Sample Questions:	ISACA AAIA Sample Questions
Exam Way:	Online remotely proctored computer-based exam
Pre Condition:	Candidates must hold an active CISA certification or another qualified audit-related designation such as CIA, CPA, ACCA, FCCA, Canadian CPA, Australian CPA/FCPA, or Japanese CPA.
Official Syllabus URL:	https://www.isaca.org/credentialing/aaia

>> 最新AAIA考題 <<

最新AAIA考題： ISACA Advanced in AI Audit，最快的通過考試方式是選擇我們

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ISACA AAIA 考試大綱：

主題	簡介
主題 1	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.
主題 2	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 3	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.

最新的 Advanced in AI Audit AAIA 免費考試真題 (Q281-Q286):

問題 #281
Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

A. Frequency of data quality audits on the organization's data sets
B. Percentage of AI models with documented data lineage
C. Total budget allocated to AI initiatives across all departments
D. Number of AI projects completed within the last fiscal year

答案：B

解題說明：
Documented data lineage (option B) is a cornerstone of mature data governance. The ISACA AAIATM Study Guide highlights that "effective data governance for AI is characterized by the organization's ability to trace and document the origin, transformation, and use of data throughout its lifecycle and within AI models." This documentation provides transparency, supports accountability, and enables effective risk management.

問題 #282
Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?

A. Independently verifying audit options based on control assessments
B. Summarizing multiple process narratives for inconsistencies
C. Simulating financial transactions for internal control testing
D. Allowing the auditor to replace walkthroughs with automated testing

答案：B

解題說明：
LLMs excel at processing large amounts ofunstructured text(e.g., policies, process narratives, procedures).
TheGREATEST benefitis their ability tosummarize and compare multiple documents to identify inconsistencies(B), which can signal potential control weaknesses or misalignments. This aligns with AAIA's description of AI-enabled audit analytics that supportdocument analysis, narrative comparison, and pattern detectionfor control assessment.
Option A presumes autonomy, which is unsafe without validation. Option C is more aligned with predictive or simulation models, not LLM strengths. Option D is not acceptable because walkthroughs require professional judgment and evidence gathering; AI should support, not replace. Thus,summarization and inconsistency identificationis the most practical and impactful benefit.
References:
ISACA,AAIA Exam Content Outline- Domain 3: AI in Audit Processes (use of LLMs for narrative analysis).

問題 #283
Which of the following BEST enables an AI model to solve complex problems involving the analysis of large volumes of unstructured data?

A. Deep learning
B. Support vector machines (SVM)
C. Reinforcement learning (RL)
D. Natural language processing (NLP)

答案：A

解題說明：
Deep Learning, a subset of machine learning based on multi-layered neural networks, is specifically designed to handle high-dimensional, unstructured data such as images, audio, and complex text. Unlike traditional algorithms like SVM, deep learning models perform " automated feature extraction, " meaning they can identify relevant patterns without manual engineering. The AAIA™ manual highlights deep learning as the foundational technology for modern AI breakthroughs in computer vision and generative models. While NLP (Option C) is a field that uses deep learning, " Deep Learning " is the broader technical engine that enables the processing of massive unstructured datasets across all domains.

問題 #284
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

問題 #285
Which of the following is an IS auditor MOST likely to use in order to ensure an AI model has the ability to make correct predictions?

A. Adversarial testing
B. Group analysis
C. Confusion matrix
D. Latency testing

答案：C

問題 #286
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