ISACA Advanced in AI Risk AAIR Prüfungsfragen mit Lösungen:

1. An organization adopts a third-party AI service under a shared responsibility model. Which of the following is the MOST important area of focus for the risk practitioner?

A) Testing data pathways for confidentiality, integrity, and provenance
B) Contractual clauses defining liability and remediation timelines
C) Comprehensive staff training on operational procedures and escalation
D) Documented assignment of control ownership and decision authority

2. An organization uses multiple external data sources to train its AI models. Which of the following is the risk practitioner's BEST recommendation to protect the organization from data poisoning attacks?

A) Data integrity reviews in response to indications that significant model drift has occurred
B) Continuous monitoring and anomaly detection for data ingestion pipelines
C) Enhanced regularization and training techniques to limit the influence of anomalies
D) Stringent controls over model code and deployment artifacts

3. A risk practitioner learns that an organization's AI inventory includes separate listings of AI systems, models, and datasets. Which of the following is the risk practitioner's BEST recommendation to improve AI governance?

A) Automate inventory reconciliation steps.
B) Map interdependencies between AI assets continuously.
C) Include information about model training frequency.
D) Assign inventory oversight to the AI risk committee.

4. Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system's decision-making process and the origin of its inputs?

A) Inability to detect discriminatory or inaccurate outputs that expose the organization to regulatory and reputational risk
B) Increased dependence on external AI service providers for managing AI system risk throughout its life cycle
C) Decrease in AI adoption rates within business units who are regularly responsible for critical decisions
D) Heightened reliance on manual review resulting in approval bottlenecks and slower response times

5. An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?

A) Measuring intent-classification error rates and refining training datasets
B) Calculating precision and recall scores and increasing model temperature
C) Adopting vendor-recommended thresholds and conducting benchmarking
D) Introducing explainable AI techniques and conducting periodic code reviews

Fragen und Antworten: