Free NVIDIA NCP-AAI Exam Dumps Questions & Answers

You are developing a RAG solution and have decided to use a classifier branch as part of your semantic guardrail system to assess the risk of generated text.
Which of the following is a key benefit of using a classifier branch compared to solely relying on prompt filtering?

• A.Since a classifier branch does not require training, it can identify potentially problematic content.
• B.Classifier branches primarily focus on detecting factual inaccuracies, rather than stylistic or harmful language.
• C.Classifier branches can automatically adapt to new forms of harmful language.
• D.Classifier branches eliminate the need for human oversight, thereby automating the safety process.

You're deploying a healthcare-focused agentic AI system that helps doctors make treatment recommendations based on patient records. The agent's reasoning is not exposed to users, and its decisions sometimes differ from clinical guidelines.
What safety and compliance mechanisms should be in place? (Choose two.)

• A.Prioritize autonomous speed of decision over explainability
• B.Require model explainability or traceability for all outputs
• C.Obfuscate decision logic to protect proprietary methods
• D.Exempt the model from compliance if it improves outcomes
• E.Allow overrides by human doctors to maintain accountability

When designing tool integration for an agent that needs to perform mathematical calculations, web searches, and API calls, which architecture pattern provides the most scalable and maintainable approach?

• A.Embedded tool functions within the main agent code
• B.External tool services with manual configuration for each agent instance
• C.Monolithic tool handler with conditional logic for different tool types
• D.Microservice-based tool architecture with standardized interfaces

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 classify tickets, 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 in analysis of the problem.
• C.Increasing the agent's autonomy, granting it more decision-making power during triage to improve its efficiency.
• D.Conducting a "red-teaming" exercise, having human agents deliberately create complex and ambiguous scenarios to analyze the agent's robustness.

When analyzing throughput bottlenecks in a multi-modal agent processing text, images, and audio, which Triton configuration evaluations identify optimization opportunities? (Choose two.)

• A.Use a single model instance per GPU, allowing Triton to automatically optimize concurrency, batching, and multi-instance settings for throughput scaling.
• B.Profile GPU memory allocation patterns across modalities, implement model instance batching strategies, and tune concurrency limits to maximize utilization.
• C.Deploy each modality on separate Triton instances, allowing Triton to automatically manage ensemble coordination, shared memory usage, and pipeline integration.
• D.Analyze model ensemble pipelines for sequential dependencies, identify parallelization opportunities, and optimize inter-model data transfer using Triton's scheduler.