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ISACA AAIA 시험요강:
| 주제 | 소개 |
|---|
| 주제 1 | - 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.
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| 주제 2 | - 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.
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| 주제 3 | - 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.
|
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최신 Advanced in AI Audit AAIA 무료샘플문제 (Q94-Q99):
질문 # 94
An IS auditor identified data quality issues as a result of insufficient availability of minority data to address diverse class representation. Which of the following is the BEST recommendation to resolve this issue?
- A. Augment the data through synthesizing.
- B. Relabel available data.
- C. Change the model selection.
3. Document the risk acceptance.
정답:A
설명:
When a dataset lacks sufficient examples of a "minority class" (e.g., rare diseases or specific demographic groups), the model will likely develop a bias toward the majority class. The BEST technical recommendation is to "Augment the data through synthesizing" (using techniques like SMOTE or GANs). Synthetic data generation creates artificial but statistically realistic minority samples, allowing the model to learn the characteristics of those groups without requiring more real-world data, which may be impossible to obtain.
질문 # 95
Which role is BEST suited to define the implementation roadmaps for adopting AI solutions?
- A. Risk management committee
- B. Product management
- C. Internal audit
- D. Steering committee
정답:D
설명:
A steering committee is responsible for enterprise-wide strategic decisions, technology alignment, investment prioritization, and governance oversight.
AAIA states that AI implementation roadmaps must be driven by a group that can evaluate:
* Organizational strategy
* Technology readiness
* Budget allocations
* Risk appetite
* Regulatory obligations
* Cross-functional impacts
The risk committee (A) focuses only on risk, not implementation. Product management (C) has a narrow scope. Internal audit (D) evaluates controls, not roadmaps.
Thus, the steering committee is the appropriate authority.
References:
AAIA Domain 1: AI Governance Structures
AAIA Domain 4: Strategic Alignment and Oversight
질문 # 96
Which of the following should be applied to an AI system but are not typically used in traditional systems?
- A. Controls to monitor data poisoning
- B. Controls to protect data privacy
- C. Controls to manage data governance
- D. Controls to prevent data exfiltration
정답:A
설명:
AI systems faceunique threatsnot commonly found in traditional IT environments, particularlydata poisoning, where attackers manipulate training data to corrupt model behavior. Controls that specifically monitor and mitigate poisoning-such as input provenance checks, anomaly detection on training data, and integrity validation pipelines-are emphasized in AAIA's coverage ofAI-specific vulnerabilities.
While privacy (A), data exfiltration (C), and data governance (D) controls are essential for all digital systems, monitoring for data poisoningis uniquely critical for AI because poisoned inputs can lead to faulty predictions, safety issues, or systemic bias. AAIA specifically highlights data poisoning as a distinct threat requiring specialized controls.
References:
ISACA,AAIA Exam Content Outline- Domain 2: Threats and Vulnerabilities Specific to AI.
ISACA AI security guidance discussing poisoning and integrity attacks.
질문 # 97
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?
- A. Natural language processing
- B. Autoregressive sequencing model
- C. Predictive analytics
- D. Robotic process automation (RPA)
정답:A
질문 # 98
The internal audit department of a large global organization is evaluating the use of an AI-based voice-to-speech tool to document interviews during audits. The tool uploads all recordings to a cloud service provider for transcription. Which of the following is the GREATEST risk?
- A. Potential data loss resulting from service downtime or failures
- B. Unauthorized access to sensitive data by the cloud vendor
- C. Inaccurate transcriptions impacting reliability of audit records
- D. Privacy concerns arising from data storage in the cloud
정답:B
설명:
Audit interviews often contain highly sensitive, proprietary, or even non-public information.
Uploading these recordings to a cloud provider introduces the "Risk of unauthorized access" by the vendor's employees or through a security breach at the vendor's site. According to ISACA, the loss of "Confidentiality" over audit workpapers is a critical failure of professional standards.
질문 # 99
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