Question 1

Which artifact is the primary output of the AI‑risk identification phase, recording every risk statement with associated assets, threat sources, vulnerabilities, and an initial severity rating?

Options :

A : Threat model diagram

B : Security test plan

C : Risk register

D : Model card

Answer: C

Question 2

Training a trillion‑parameter language model requires months of nonstop computation on thousands of GPUs, emitting thousands of metric tons of CO₂. Which AI risk category does this exemplify?

Options :

A : Explainability

B : Scalability

C : Fairness

D : Sustainability

Answer: D

Question 3

A start‑up runs isolated AI pilots without shared pipelines or governance. Which Gartner AI Maturity Model stage best describes its position?

Options :

A : Active

B : Systematic

C : Operational

D : Awareness

Answer: A

Question 4

An organization wants to develop a comprehensive, tailored set of categories and subcategories from the NIST AI Risk Management Framework to help it manage its AI risks effectively. Which of the following tools should the organization utilize to structure, document, and communicate this tailored set to its stakeholders?

Options :

A : AI RMF Profiles

B : Metrics and analytic tools

C : AI governance platforms

D : Compliance management tools

Answer: A

Question 5

Deploying reinforcement‑learning (RL) algorithms in autonomous warehouse robots primarily provides which advantage over scripted path‑planning?

Options :

A : Guarantees deterministic navigation routes in every scenario

B : Learns optimal policies through trial‑and‑error to adapt to dynamic layouts

C : Removes the requirement for a reward function during training

D : Eliminates the need for onboard sensors to perceive the environment

Answer: B

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