AAIA Praxisprüfung - AAIA Zertifikatsfragen

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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
  • 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.
Thema 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.

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AAIA PrüfungGuide, ISACA AAIA Zertifikat - ISACA Advanced in AI Audit

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ISACA Advanced in AI Audit AAIA Prüfungsfragen mit Lösungen (Q115-Q120):

115. Frage
Which of the following is the BEST reason that recurrent neural networks enable language translation of documents?

Antwort: D

Begründung:
Recurrent neural networks (RNNs) and their variants (such as LSTMs and GRUs) are designed to handle sequential data , capturing dependencies across time or position in a sequence. In language translation, words and phrases must be interpreted in context, where the meaning of a word depends on preceding (and, in advanced architectures, following) tokens. RNNs maintain internal state across steps, allowing the model to encode information from earlier parts of the sentence when predicting later outputs.
Option B (association rules) refers more to classical data # mining methods, not the core reason RNNs work for translation. Option C (grid data) is more relevant to convolutional neural networks used for images.
Option D (unidirectional) is not inherently an advantage; in fact, bidirectional models are often preferred.
Therefore, the key property enabling RNN use in translation is the sequential processing capability.
References:
ISACA, AAIA Exam Content Outline - Domain 1: AI Models, Considerations, and Requirements (types of AI, machine learning models).
ISACA, general AI fundamentals content used in AAIA preparation (sequence models for NLP).


116. Frage
An IS auditor is evaluating an organization's data governance controls for its AI system. Which of the following represents the GREATEST risk in this context?

Antwort: B

Begründung:
In AI systems,data accuracy and privacyare foundational to both performance and regulatory compliance.
Inadequate controls over data accuracy and privacy compliance(D) pose thegreatest risk, as they can lead to incorrect decisions, legal violations, regulatory penalties, and significant reputational damage. AAIA emphasizes that data governance programs must ensure data is accurate, secure, lawfully processed, and appropriately protected throughout the AI life cycle.
Option A (inconsistent practices) is concerning but is often a symptom of underlying governance weaknesses; its impact is most severe when it affects accuracy and privacy. Option B focuses on backup procedures, which are important for availability and resilience, but not as central to AI decision quality and legal risk. Option C (limited performance and accuracy reviews) is serious but again narrower than outright inadequacy of key controls over accuracy and privacy.
References:
ISACA,AAIA Exam Content Outline- Domain 1: Privacy and Data Governance Programs (accuracy, privacy, and governance controls).
ISACA data governance and privacy guidance for AI systems.


117. Frage
To confirm the fairness of AI model decisions, the BEST way to collect reliable evidence during an AI audit is by:

Antwort: D


118. Frage
For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history. Verifying which of the following would BEST validate the effectiveness of this process?

Antwort: B


119. Frage
An organization deploys a complex AI model to support credit risk assessments. Stakeholders find the model' s output difficult to interpret. Which of the following BEST improves interpretability?

Antwort: D

Begründung:
AAIA emphasizes thattransparency and interpretabilityrequire clear explanations of how the model functions, what features drive predictions, and how decisions are derived.
Creating documentation and visual interpretability tools (option C) provides:
* Feature importance breakdowns
* Decision pathway visualizations
* Examples of prediction reasoning
* Plain-language explanations for nontechnical stakeholders
* Evidence that can be validated during audits
While training stakeholders (A) is helpful, it does not make the model itself clearer.
A rule-based system (B) supports validation, not interpretability.
Simplifying the model (D) may affect accuracy and is not necessary if documentation and interpretability tooling solve the issue.
Therefore, the best approach is to improve interpretability through clear documentation and visualization.
References:
AAIA Domain 5: Explainability and Transparency Controls
AAIA Domain 3: Auditability and Documentation Requirements


120. Frage
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