An organization is implementing an AI governance program. They want to ensure that their AI systems are developed and used in a way that is ethical, safe, and compliant with regulations. Which practice is most important to establish?

Establish a cross-functional AI governance committee with clear accountability

Delegate all AI decisions to the IT department

Purchase AI software from a major vendor to ensure compliance

Limit AI usage to low-risk applications only

A company develops an AI system that analyzes credit applications. They plan to market it in the EU and in a country with no specific AI regulation. To prepare for the EU market, what should the company do first?

Deploy the system in the unregulated country first to gather evidence of safety

Determine whether the system qualifies as high-risk under the EU AI Act and, if so, plan for conformity assessment

Apply for ISO 42001 certification to automatically comply with the EU AI Act

Ignore the EU AI Act because the system is not a medical device

A multinational company is deploying an AI-based hiring tool across several regions. To ensure consistent governance, they want to align with internationally recognized AI standards. Which approach best supports this goal?

Rely solely on the EU AI Act because it is the most comprehensive regulation

Implement the NIST AI Risk Management Framework as the only governance mechanism

Create a custom internal standard without referencing external standards

Adopt ISO/IEC 42001 as the basis for an AI management system and align internal policies with its requirements

An AI team is developing a facial recognition system for security applications. They need a standard that addresses ethical considerations and societal impact. Which standard is most relevant?

NIST AI Risk Management Framework

What is the primary purpose of AI standards in the context of developing and deploying AI systems?

To replace legal regulations with voluntary technical guidelines

To ensure quality, safety, and interoperability of AI systems

To certify that AI systems are fully compliant with all global laws

To guarantee that all AI systems are free from bias and errors

Certified Tester AI Testing

Domain 1Objective 5

Standards and Regulations CT-AI Practice Questions (Page 3)

Part of the Domain 1: Introduction to AI domain, which makes up ~7% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~2–3 in this domain), expect 1–1 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

4concepts

Questions 11–15

11application · medium
An organization is implementing an AI governance program. They want to ensure that their AI systems are developed and used in a way that is ethical, safe, and compliant with regulations. Which practice is most important to establish?
Select an answer first
12application · medium
A company develops an AI system that analyzes credit applications. They plan to market it in the EU and in a country with no specific AI regulation. To prepare for the EU market, what should the company do first?
Select an answer first
13application · medium
A multinational company is deploying an AI-based hiring tool across several regions. To ensure consistent governance, they want to align with internationally recognized AI standards. Which approach best supports this goal?
Select an answer first
14application · medium
An AI team is developing a facial recognition system for security applications. They need a standard that addresses ethical considerations and societal impact. Which standard is most relevant?
Select an answer first
15foundation · easy
What is the primary purpose of AI standards in the context of developing and deploying AI systems?
Select an answer first

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