NVIDIA NCP-AAI : Agentic AI

NVIDIA NCP-AAI Exam Syllabus Topics:

Reference: https://www.nvidia.com/en-us/learn/certification/agentic-ai-professional/

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NVIDIA Agentic AI Sample Questions:

Question #1
When analyzing performance bottlenecks in a multi-modal agent processing customer support tickets with text, images, and voice inputs, which evaluation approach most effectively identifies optimization opportunities?

A. Extend evaluation to accuracy and quality metrics, incorporating resource usage patterns, latency observations, and their impact on user experience.
B. Optimize each modality independently using dedicated profiling of cross-modal interactions, shared resource constraints, and pipeline execution strategies.
C. Measure total response time as this analyzes aggregated performance trends across modalities, model loading times, and opportunities for parallel execution.
D. Profile end-to-end latency across modalities, measure model switching overhead, analyze batch processing opportunities, and evaluate Triton's dynamic batching for multi-modal workloads.

Question #2
You're utilizing an LLM to translate complex technical documentation into multiple languages. The translations often lack nuance and fail to capture the original intent.
What's the most effective strategy for improving the quality of the translations?

A. Training the LLM on a dataset of translated texts.
B. Providing the LLM with guidance to translate "with high accuracy" without additional guidance, so it can use trained knowledge.
C. Providing the LLM with guidance to "translate the documents" without additional guidance, so it can use trained knowledge.
D. Providing the LLM with a glossary of key terms, concepts in all languages and the dataset of previously translated text.

Question #3
Your deployed legal assistant shows great performance but occasionally repeats incorrect legal terms.
Which tuning method best improves factual reliability?

A. Use more verbose prompts to reinforce correct definitions
B. Add fact-checking steps using external tools during generation
C. Increase output randomness to improve exploration
D. Replace retrieval with static hard-coded text snippets

Question #4
An enterprise wants their AI agent to support complex project management tasks. The agent should remember ongoing project details, adjust its plans based on new information, and break down large goals into actionable steps.
Which strategy best enables the AI agent to autonomously decompose tasks and adapt to new Information over time?

A. Storing recent user interactions in a temporary cache for immediate retrieval
B. Developing long-term knowledge retention strategies and dynamic state management for adaptive planning
C. Applying rule-based logic to each new request isolated from previous project data
D. Predefining static workflows for each project type to guarantee consistent execution

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.)

A. Maintain consistent resource allocation across all service hours, for a more precise view of baseline traffic impact on long-term infrastructure efficiency.
B. Deploy distributed tracing with cost attribution per agent type, correlating resource consumption with business value metrics to identify optimization opportunities in agent deployment strategies.
C. Deploy agents with configurable scaling workflows, allowing analysis of resource adjustment strategies and their effects on service stability during variable demand periods.
D. Implement comprehensive workload profiling using NVIDIA Nsight to analyze GPU utilization patterns, identify underutilized resources, and optimize batch sizing for dynamic scaling with Kubernetes HPA.
E. Scale agent infrastructure based on aggregate performance trends, using system-wide monitoring tools to identify broader optimization patterns across resources.

Solutions: