What is the primary purpose of AI governance frameworks like the NIST AI Risk Management Framework?

To certify that AI systems are 100% error-free

To replace existing IT governance frameworks

To provide a set of tools for building AI models

To help organizations manage risks and promote trustworthy AI

Why is it important for an AI strategy to consider regulatory compliance?

To reduce the need for ethical review

To make the AI system more complex and sophisticated

To avoid legal penalties and ensure the organization operates within the law

To ensure that AI systems are faster than competitors' systems

An e-commerce company is planning an AI recommendation system. The roadmap must balance speed to market with regulatory compliance (GDPR) and measurable KPIs. The company has limited resources. What is the best roadmap approach?

Create a detailed upfront plan with all milestones fixed.

Adopt an agile roadmap with iterative compliance checkpoints and KPI reviews.

Focus only on KPIs and ignore compliance until launch.

Deploy a minimal viable product and add compliance later.

An insurance company launches an AI claims-processing system. The strategic goal is to reduce processing time while maintaining fairness. Which KPI set best measures success aligned with this goal?

Model accuracy and system uptime.

Cost per claim and employee productivity.

Average processing time and claim approval rate by demographic group.

Number of claims processed and customer satisfaction score.

A fintech startup is building an AI credit-scoring model that will process data from customers in the EU and the US. The legal team warns about GDPR and fair lending laws. The startup has a small budget and wants to launch quickly. What should the AI roadmap include first?

A cloud infrastructure selection focused on cost only.

A model training plan using all available customer data.

A compliance assessment to map applicable regulations and data residency requirements.

A marketing plan to attract customers in both regions.

EC-CouncilCertified Responsible AI Governance and Ethics

Domain 2Objective 1

AI Strategy and Planning CRAGE Practice Questions (Page 2)

Part of the AI Strategy, Governance, and Frameworks domain, which makes up ~20% of our current practice bank.

53questions here

11free pages

8concepts

Questions 6–10

6foundation · easy
What is the primary purpose of AI governance frameworks like the NIST AI Risk Management Framework?
Select an answer first
7foundation · easy
Why is it important for an AI strategy to consider regulatory compliance?
Select an answer first
8expert · hard
An e-commerce company is planning an AI recommendation system. The roadmap must balance speed to market with regulatory compliance (GDPR) and measurable KPIs. The company has limited resources. What is the best roadmap approach?
Select an answer first
9application · medium
An insurance company launches an AI claims-processing system. The strategic goal is to reduce processing time while maintaining fairness. Which KPI set best measures success aligned with this goal?
Select an answer first
10application · medium
A fintech startup is building an AI credit-scoring model that will process data from customers in the EU and the US. The legal team warns about GDPR and fair lending laws. The startup has a small budget and wants to launch quickly. What should the AI roadmap include first?
Select an answer first

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