AAISM Testfagen & AAISM Prüfungsfrage

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ISACA AAISM Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.
Thema 2
  • AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.
Thema 3
  • AI Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.

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ISACA AAISM Prüfungsfrage, AAISM Zertifizierungsfragen

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ISACA Advanced in AI Security Management (AAISM) Exam AAISM Prüfungsfragen mit Lösungen (Q292-Q297):

292. Frage
Which of the following information is MOST important to include in a centralized AI inventory?

Antwort: C

Begründung:
AAISM governance practices identify ownership and accountability as the most critical element in any centralized AI inventory. An AI inventory provides oversight by cataloging all AI assets within an organization, and assigning responsibility ensures that each system has clear governance, monitoring, and compliance coverage. While use cases, training data, and registries are valuable metadata, they do not guarantee accountability. Without defined ownership, no party is responsible for addressing risk, bias, or incidents. Therefore, the most important information to include is ownership and accountability details for each AI system.
References:
AAISM Exam Content Outline - AI Governance and Program Management (AI Inventories and Oversight) AI Security Management Study Guide - Ownership and Accountability Structures


293. Frage
Which of the following is the MOST effective way to prevent a model inversion attack?

Antwort: C

Begründung:
AAISM identifies differential privacy as the primary mitigation technique against model inversion attacks, which attempt to reconstruct sensitive training data by probing model outputs.


294. Frage
A global retail organization is procuring a third-party sentiment analysis API to process customer feedback. The vendor refuses to provide details and documentation on the training data, model provenance, and security testing. Which of the following is the MOST significant risk of proceeding with this procurement?

Antwort: A

Begründung:
Without transparency into training data, model provenance, and security testing, the organization cannot adequately assess whether the model produces fair, unbiased, secure, and legally compliant outcomes. This creates significant ethical, regulatory, and governance risks when processing customer-related data and decisions.


295. Frage
What is the GREATEST concern when a vendor enables generative AI features for an organization's critical system?

Antwort: B

Begründung:
AAISM highlights that uncontrolled access to generative AI in critical systems introduces the highest level of risk, as such models can:
- expose sensitive data
- execute unintended actions
- be manipulated through injected prompts
- cause operational instability


296. Frage
Which of the following types of data is used to tune hyperparameters?

Antwort: C

Begründung:
According to AAISM, hyperparameter tuning uses validation data, not training or test data.
Validation datasets are specifically designed to evaluate different hyperparameter configurations without contaminating the training or testing sets.


297. Frage
......

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