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ISACA AAIA Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 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.
Thema 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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ISACA Advanced in AI Audit AAIA Prüfungsfragen mit Lösungen (Q44-Q49):

44. Frage
The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:

A. ensure full compliance with regulations.
B. eliminate the need for human intervention.
C. identify complex data patterns.
D. significantly reduce data bias.

Antwort: C

Begründung:
AI auditing techniques excel at identifying complex data patterns (option C), which is their primary advantage over manual or traditional audit approaches. The AAIA™ Study Guide states, "AI-based audit tools can process massive volumes of data at speed and depth, detecting anomalies, trends, or relationships that might be invisible to human auditors or unfeasible to uncover manually." AI does not fully eliminate the need for human involvement, nor does it guarantee compliance or the elimination of bias, but it can analyze intricate patterns in large, multidimensional data sets.
Reference:ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Advantages of AI-Enabled Audit Approaches"

45. Frage
An organization plans to implement an AI search and chatbot solution provided by an external vendor. Which of the following is MOST important for an IS auditor to confirm?

A. Whether the vendor can provide an independent third-party attestation
B. Whether the solution is tied to a bilingual evaluation understudy (BLEU) metric
C. Whether the organization or the vendor has the test plan for the solution
D. Whether the solution effectively enables web integration

Antwort: A

Begründung:
For third-party (SaaS) AI solutions, the organization relies on the vendor's internal controls to ensure data security, privacy, and model integrity. The AAIA™ manual highlights that the most critical confirmation is " Whether the vendor can provide an independent third-party attestation " (such as a SOC 2 Type II or ISO/IEC
42001 report). This provides the organization with reliable evidence that the vendor's AI governance and security practices have been verified by an external auditor. While metrics like BLEU (Option A) or technical integration (Option C) are important for performance, they do not provide the necessary governance assurance required for organizational risk management.

46. Frage
Which of the following is the BEST approach to mitigate the risk of AI model degradation?

A. Introducing continuous monitoring to identify adversarial inputs
B. Ensuring models are trained on both model-generated and human-generated data
C. Increase the use of synthetic data for model training purposes
D. Implementing periodic human reviews of model outputs and recommendations

Antwort: D

Begründung:
"Model degradation" (or model decay) happens when a model's performance slowly worsens because the real-world environment has changed since its last training. The most effective safeguard is "Periodic human reviews." Humans can identify "contextual shifts" or "common- sense errors" that automated monitoring might miss. This "Human-in-the-Loop" (HITL) control ensures that the AI's decisions remain grounded, justifiable, and accurate over time.

47. Frage
An IS auditor has discovered that an organization ' s AI system is less accurate than the required threshold and recommends management implement cross-referencing multiple models in order to produce more accurate results. This is an example of which type of risk response?

A. Avoidance
B. Transfer
C. Mitigation
D. Acceptance

Antwort: C

Begründung:
Risk mitigation involves implementing controls or actions to reduce the likelihood or impact of a risk to an acceptable level. In this scenario, the model ' s failure to meet accuracy thresholds poses a performance and operational risk. By recommending the use of model ensembles or cross-referencing (where multiple models evaluate the same input), the auditor is proposing a technical control designed to improve the reliability of the system ' s output. This reduces the risk of incorrect decisions without eliminating the system entirely (Avoidance) or moving the risk to a third party (Transfer). Mitigation is the standard response for improving AI performance while maintaining the existing use case.

48. Frage
An organization deployed an AI-powered customer service chatbot trained using customer chat logs. During a risk assessment, which issue should be the IS auditor's GREATEST concern?

A. Reputational impacts from inaccurate chatbot responses
B. Insufficient access controls leading to unauthorized customer data exposure
C. Obsolete procedures leading to inadequate data integrity validation
D. Limited AI model capability to incorporate new data

Antwort: B

Begründung:
The GREATEST concern isinsufficient access controls(D), which can lead tounauthorized exposure of customer data-a severe privacy, security, regulatory, and reputational risk. Chat logs often contain personally identifiable information and sensitive communications. AAIA prioritizesdata confidentiality, access control, and privacy obligationsas highest-risk elements, particularly for customer-interactive AI systems.
Inaccurate chatbot responses (C) affect reputation but are less severe than data breaches. Obsolete procedures (B) matter but pose less immediate harm. Limited capability to incorporate data (A) affects performance but not critical risk.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Legal and Privacy Considerations; Domain 1: AI Governance and Security Controls.

49. Frage
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