AAIA Prüfungsressourcen: ISACA Advanced in AI Audit & AAIA Reale Fragen

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ISACA AAIA Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.
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.

>> AAIA Fragen Und Antworten <<

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ISACA Advanced in AI Audit AAIA Prüfungsfragen mit Lösungen (Q153-Q158):

153. Frage
Which of the following is MOST important to consider when deciding whether to implement an AI solution?

Antwort: C


154. Frage
An AI social media platform uses an algorithm to increase user engagement that could unintentionally promote divisive content. Which of the following is the BEST course of action to mitigate this risk?

Antwort: D

Begründung:
The AAIA™ Study Guide emphasizes that regular algorithmic audits are critical for identifying unintended consequences such as the promotion of harmful or biased content. This proactive approach helps maintain trust and ensure that algorithmic decisions align with organizational values and ethical standards.
"Auditing and monitoring AI models regularly helps detect and correct bias, drift, or other unintended behavior. It is essential for high-impact AI systems like content recommendation engines." While content customization (A) and user consent (C) are helpful, they don't prevent bias propagation.
Suspension (B) may halt engagement and isn't sustainable. Therefore, D is the most balanced and strategic solution.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Model Monitoring and Risk Mitigation Strategies"


155. Frage
Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?

Antwort: D

Begründung:
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).


156. Frage
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?

Antwort: C

Begründung:
Sudden and unexplained changes in AI-generated credit scores may result from data drift, model overfitting, or lack of recalibration. According to the AAIA™ Study Guide, regular expert review and calibration help maintain model reliability and transparency, particularly in high-stakes decisions like credit scoring.
"Ongoing human oversight ensures that predictive models remain stable and justifiable. In high-impact environments, such as banking, experts must review and recalibrate AI systems to prevent opaque or unexpected behavior." Option B may cause the exclusion of relevant long-term patterns. C promotes risk by removing oversight. D is a validation strategy, not a stability control. Therefore, A is the best option.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Operations and Performance," Subsection: "Model Monitoring and Recalibration Strategies"


157. Frage
Which of the following is MOST important for an IS auditor to consider when identifying AI risk in a know your customer (KYC) application within a banking organization?

Antwort: A


158. Frage
......

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2026 Die neuesten EchteFrage AAIA PDF-Versionen Prüfungsfragen und AAIA Fragen und Antworten sind kostenlos verfügbar: https://drive.google.com/open?id=15KpGg3rsopFdYLpvOVcNfx7EgGW4p_1A

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