NVIDIA NCP-AAI - Agentic AI Exam
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Total 121 questions
Question #11 (Topic: Topic 1, Agent Architecture and Design
)
A senior AI architect at a public electricity utility is designing an AI system to automate grid operations such as outage detection, load balancing, and escalation handling. The system involves multiple intelligent agents that must operate concurrently, respond to changing data in real time, and collaborate on tasks that evolve over multiple interaction steps. The architect must choose a design pattern that supports coordination, flexible task delegation, and responsiveness without sacrificing maintainability.
Which design approach is most appropriate for this scenario?
Which design approach is most appropriate for this scenario?
A. Use an agent service architecture with decoupled execution units managed by a shared interface layer that handles communication and task routing.
B. Build a rule-driven control structure that maps task flows to predefined paths for fast and efficient execution under known operating conditions.
C. Design the system as a stepwise sequence of agent functions, where each stage processes and passes data to the next in a fixed functional chain.
D. Adopt a role-based agent model coordinated through a shared task planner, where agent decisions are informed by centralized policy logic and runtime context signals.
Answer: D
Question #12 (Topic: Topic 1, Agent Architecture and Design
)
An AI engineer is evaluating an underperforming multi-agent workflow built with NVIDIA agentic frameworks.
Which analysis approach most effectively identifies optimization opportunities in agent coordination and communication patterns?
Which analysis approach most effectively identifies optimization opportunities in agent coordination and communication patterns?
A. Monitor workflow completion times using analysis that subsumes inter-agent communication costs, coordination overhead, and task allocation balance.
B. Focus exclusively on individual agent accuracy without analyzing workflow-level efficiency, coordination costs, or overall system throughput.
C. Evaluate agents individually, allowing the toolkit to automatically infer interaction effects, communication patterns, and emergent behaviors from coordination.
D. Trace agent interaction patterns using observability features, measure communication overhead, identify redundant operations, and analyze task distribution efficiency.
Answer: D
Question #13 (Topic: Topic 2, Agent Development
)
You are designing a virtual assistant that helps users check weather updates via external APIs. During testing, the agent frequently calls the incorrect tools, often hallucinating endpoints or returning incorrect formats. You suspect the prompt structure might be the root cause of these failures.
Which prompt design best supports consistent tool invocation in this agent?
Which prompt design best supports consistent tool invocation in this agent?
A. Rely on the agent’s internal knowledge to infer tool usage
B. Include tool names in natural language but without parameter examples
C. Provide only a generic system instruction with no examples
D. Use structured prompt templates with few-shot tool usage examples
Answer: D
Question #14 (Topic: Topic 2, Agent Development
)
You’re working with an LLM to automatically summarize research papers. The summaries often omit critical findings.
What’s the best way to ensure that the summaries accurately reflect the core insights of the research papers?
What’s the best way to ensure that the summaries accurately reflect the core insights of the research papers?
A. Asking the LLM to “summarize the paper.”
B. Asking the LLM to “understand” the paper to generate a summary.
C. Having the LLM generate the summaries and then manually review every output.
D. Asking the LLM to “extract the key findings.”
Answer: D
Question #15 (Topic: Topic 2, Agent Development
)
When implementing tool orchestration for an agent that needs to dynamically select from multiple tools (calculator, web search, API calls), which selection strategy provides the most reliable results?
A. Random dynamic tool selection with retry mechanisms and usage examples
B. LLM-based tool selection with structured tool descriptions and usage examples
C. Rule-based selection with predefined tool mappings and usage examples
D. Configuration-based tool selection with manual specifications and usage examples
Answer: B
