Q: 1
What benefits does a Kubernetes deployment offer over Slurm?
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Q: 2
A Lead AI Architect at a global financial institution is designing a multi-agent fraud detection system
using an agentic AI framework. The system must operate in real time, with distinct agents working
collaboratively to monitor and analyze transactional patterns across accounts, retain and share
contextual information over time, and escalate suspicious behaviors to a human fraud analyst when
needed.
Which architectural approach enables intelligent specialization, shared memory, and inter-agent
coordination in a dynamic and evolving threat environment?
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Q: 3
A service desk agent must escalate only high-risk security incidents to human analysts. Which approach
is BEST?
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Q: 4
Which two evaluation dimensions are MOST relevant when validating an agent that must answer
compliance questions accurately and quickly?
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Q: 5
Which technique is MOST suitable for allowing an agent to break a large goal into smaller executable
steps?
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Q: 6
When analyzing user feedback patterns to improve a technical documentation agent, which evaluation
methods effectively translate feedback into actionable optimization strategies? (Choose two.)
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Q: 7
Which two features are MOST important for a multi-agent system that handles financial approvals?
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Q: 8
When implementing inter-agent communication for a distributed agentic system running across multiple
NVIDIA GPU nodes, which message routing pattern provides the best balance of reliability and
performance?
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Q: 9
A team is evaluating multiple versions of an AI agent designed for customer support. They want to
identify which version completes tasks more efficiently, responds accurately, and improves over time
using user feedback.
Which practice is most important to ensure continuous refinement and optimal performance of the AI
agent?
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Question 1 of 20 · Page 1 / 2