NVIDIA NCP-AAI - Agentic AI Exam
Page: 2 / 25
Total 121 questions
Question #6 (Topic: Topic 1, Agent Architecture and Design
)
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?
A. Database-based message queuing with polling
B. Direct TCP connections between all agent pairs
C. Event-driven message routing with distributed broker clusters
D. Centralized message broker with topic-based routing
Answer: C
Question #7 (Topic: Topic 1, Agent Architecture and Design
)
Which two orchestration methods are MOST suitable for implementing complex agentic workflows that require both external data access and specialized task delegation? (Choose two.)
A. Agentic orchestration with specialized expert system delegation
B. Prompt chaining to accomplish state management
C. Manual workflow coordination without automation
D. Retrieval-based orchestration for external data
E. Static rule-based routing with predefined pathways
Answer: AD
Question #8 (Topic: Topic 1, Agent Architecture and Design
)
When evaluating coordination failures in a multi-agent system managing distributed manufacturing workflows, which analysis approach best identifies state management and planning synchronization issues?
A. Monitor agent outputs individually to confirm local correctness and examine results of specific workflow steps.
B. Deploy distributed state tracing across agents, analyze transition timing, study communication overhead, and verify synchronization accuracy.
C. Assess synchronization methods during design reviews and use simulations to evaluate coordination across representative workflow scenarios.
D. Track workflow throughput and task completions to measure performance trends and highlight workflow outcomes.
Answer: B
Question #9 (Topic: Topic 1, Agent Architecture and Design
)
You are designing an AI agent for summarizing medical documents that include images and text as well. It must extract key information and recognize dates.
Which feature is most critical for ensuring the agent performs well across multiple input and output formats?
Which feature is most critical for ensuring the agent performs well across multiple input and output formats?
A. Use of guardrails to filter out hallucinated content
B. Retry logic implementation to ensure robustness during API failures
C. Chain-of-thought prompting for reasoning accuracy
D. Multi-modal model integration to handle both text and vision inputs
Answer: D
Question #10 (Topic: Topic 1, Agent Architecture and Design
)
Which two coordination patterns are MOST effective for implementing a multi-agent system where agents have different specializations (Research Analyst, Content Writer, Quality Validator)?
A. Sequential pipeline coordination with crew-based structured handoffs
B. Peer-to-peer coordination with consensus mechanisms
C. Random task distribution with load balancing
D. Hierarchical coordination with crew-based task delegation
Answer: AD
