Free NVIDIA NCP-AAI Exam Questions

Question 1

You’re managing an agentic AI responsible for customer support ticket triage. The agent has been consistently accurate in routing tickets to the appropriate departments. However, a team leader has noticed a significant increase in the number of tickets requiring “escalation” – cases where the agent initially misclassified a complex issue as a simple, routine one, leading to delays and frustrated customers. What would be an appropriate first step in resolving this issue?

A : Analyzing the agent’s decision-making process, focusing on the specific criteria it uses to classifytickets, and identifying potential biases or blind spots.

B : Adjusting the agent’s reward function to prioritize speed of resolution over accuracy, as a first step inanalysis of the problem.

C : Increasing the agent’s autonomy, granting it more decision-making power during triage to improve itsefficiency.

D : Conducting a “red-teaming” exercise, having human agents deliberately create complex and ambiguousscenarios to analyze the agent’s robustness.

Answer: A

Question 2

You are creating a virtual assistant agent that needs to handle an increasingly wide range of tasks over an extended period. What is the primary benefit of combining external storage (like RAG) with fine-tuning (embodied memory) in this context?

A : To enhance long-term reasoning capabilities and adaptability

B : To accelerate the agent’s initial response time

C : To ensure the agent doesn’t make any errors

D : To eliminate the need for external knowledge

Answer: A

Question 3

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.)

A : Maintain consistent resource allocation across all service hours, for a more precise view of baseline traffic impact on long-term infrastructure efficiency.

B : Scale agent infrastructure based on aggregate performance trends, using system-wide monitoring toolsto identify broader optimization patterns across resources.

C : Deploy agents with configurable scaling workflows, allowing analysis of resource adjustment strategies and their effects on service stability during variable demand periods.

D : Deploy distributed tracing with cost attribution per agent type, correlating resource consumption withbusiness value metrics to identify optimization opportunities in agent deployment strategies.

E : Implement comprehensive workload profiling using NVIDIA Nsight to analyze GPU utilization patterns, identify underutilized resources, and optimize batch sizing for dynamic scaling withKubernetes HPA.

Answer: D,E

Question 4

You’re managing an agentic AI responsible for customer support ticket triage. The agent has been consistently accurate in routing tickets to the appropriate departments. However, a team leader has noticed a significant increase in the number of tickets requiring “escalation” – cases where the agent initially misclassified a complex issue as a simple, routine one, leading to delays and frustrated customers. What would be an appropriate first step in resolving this issue?

A : Analyzing the agent’s decision-making process, focusing on the specific criteria it uses to classifytickets, and identifying potential biases or blind spots.

B : Adjusting the agent’s reward function to prioritize speed of resolution over accuracy, as a first step inanalysis of the problem.

C : Increasing the agent’s autonomy, granting it more decision-making power during triage to improve itsefficiency.

D : Conducting a “red-teaming” exercise, having human agents deliberately create complex and ambiguousscenarios to analyze the agent’s robustness.

Answer: A

Question 5

You’re managing an agentic AI responsible for customer support ticket triage. The agent has been consistently accurate in routing tickets to the appropriate departments. However, a team leader has noticed a significant increase in the number of tickets requiring “escalation” – cases where the agent initially misclassified a complex issue as a simple, routine one, leading to delays and frustrated customers. What would be an appropriate first step in resolving this issue?

A : Analyzing the agent’s decision-making process, focusing on the specific criteria it uses to classifytickets, and identifying potential biases or blind spots.

B : Adjusting the agent’s reward function to prioritize speed of resolution over accuracy, as a first step inanalysis of the problem.

C : Increasing the agent’s autonomy, granting it more decision-making power during triage to improve itsefficiency.

D : Conducting a “red-teaming” exercise, having human agents deliberately create complex and ambiguousscenarios to analyze the agent’s robustness.

Answer: A