Free NVIDIA NCP-AAI Exam Questions
Absolute Free NCP-AAI Exam Practice for Comprehensive Preparation
-
NVIDIA NCP-AAI Exam Questions
-
Provided By: NVIDIA
- Exam: NVIDIA Certified Professional - Agentic AI
- Certification: NVIDIA Certified Professional
-
Total Questions: 122
-
Updated On: Sep 03, 2026
-
Rated: 4.9 |
-
Online Users: 244
-
Question 1
-
When implementing stateful orchestration for agentic workflows using LangGraph, which memory
management approach provides the best balance of performance and context retention?
Answer: C
-
When implementing stateful orchestration for agentic workflows using LangGraph, which memory
management approach provides the best balance of performance and context retention?
-
Question 2
-
Your team notices a spike in failed tool calls from a deployed workflow agent after a recent API schema
update. The agent still returns outputs, but many are irrelevant or incomplete.
Which maintenance task should be prioritized to restore accurate behavior?
Answer: B
-
Your team notices a spike in failed tool calls from a deployed workflow agent after a recent API schema
update. The agent still returns outputs, but many are irrelevant or incomplete.
Which maintenance task should be prioritized to restore accurate behavior?
-
Question 3
-
An engineer has created a working AI agent solution providing helpful services to users. However, during live
testing, the AI agent does not perform tasks consistently.
Which two potential solutions might help with this issue? (Choose two.)
Answer: C,D
-
An engineer has created a working AI agent solution providing helpful services to users. However, during live
testing, the AI agent does not perform tasks consistently.
Which two potential solutions might help with this issue? (Choose two.)
-
Question 4
-
In a global financial firm, an AI Architect is building a multi-agent compliance assistant using an agentic AI
framework. The system must manage short-term memory for multi-turn interactions and long-term memory
for persistent user and policy context. It should enable contextual recall and adaptation across sessions using
NVIDIA’s tool stack.
Which architectural approach best supports these requirements?
Answer: A
-
In a global financial firm, an AI Architect is building a multi-agent compliance assistant using an agentic AI
framework. The system must manage short-term memory for multi-turn interactions and long-term memory
for persistent user and policy context. It should enable contextual recall and adaptation across sessions using
NVIDIA’s tool stack.
Which architectural approach best supports these requirements?
-
Question 5
-
When evaluating a multi-agent customer service system experiencing unpredictable scaling costs and
performance bottlenecks during peak hours, which analysis approaches effectively identify optimization
opportunities for both infrastructure efficiency and service reliability? (Choose two.)
Answer: D,E
-
When evaluating a multi-agent customer service system experiencing unpredictable scaling costs and
performance bottlenecks during peak hours, which analysis approaches effectively identify optimization
opportunities for both infrastructure efficiency and service reliability? (Choose two.)