Free NVIDIA NCP-AAI Exam Dumps Questions & Answers

An AI Engineer is experimenting with data retrieval performance within a RAG system.
Which of the following techniques is most likely to improve the quality of the retrieved chunks?

• A.Adding clarifying keywords and synonyms to the original query to broaden the search.
• B.Directly feeding the original query to the LLM without any modification.
• C.Using a single, highly specific keyword to guarantee a precise match.
• D.Truncating long queries to fit within the LLM's context window.

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.)

• A.Refine the prompt given to the AI Agent; be clear on objectives
• B.Identify where dividing the tasks into subtasks and handling them by multiple agents can help.
• C.Increase randomness (e.g., temperature) and remove fixed seeds to avoid determinism.
• D.Remove schema validations and assertions on tool outputs to avoid inconsistency.

A recently deployed Agentic AI system designed for automated incident response within a cloud infrastructure has been consistently failing to identify and resolve 'high-priority' alerts - specifically, those related to increased CPU utilization across several virtual machines. Initial logs show the agent is primarily focusing on alerts with related network traffic spikes, ignoring the CPU metrics.
What is the most appropriate initial step for a senior Agentic AI engineer to take to resolve this issue, considering the system's reliance on benchmarking and iterative improvement?

• A.Implement a new synthetic data set containing a wide variety of CPU load profiles to train the agent's decision-making model.
• B.Replace the agent's underlying AI model with a more powerful, general-purpose machine learning engine as a first step in investigating current benchmarks.
• C.Review the agent's sensitivity thresholds, focusing on CPU utilization alerts to maximize detection accuracy.
• D.Review the agent's evaluation framework, focusing on the defined benchmarks used to assess its response efficiency and impact on overall system performance.

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

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

In the context of agent development, how does an autonomous agent differ from a predefined workflow when applied to complex enterprise tasks?

• A.Workflows provide deterministic task sequencing with conditional branching, while agents adapt decisions dynamically based on goals, context, and environment feedback.
• B.Workflows emphasize parallelism and distributed coordination of processes, while agents emphasize serialization and isolated problem solving.
• C.Agents optimize for execution speed under fixed input-output mappings, while workflows prioritize goal alignment through adaptive reasoning and memory mechanisms.