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NCA-GENL Generative AI LLM professional (NCA-GENL) - Nvidia Exam Questions

Last updated on July 22, 2026

97% Exam Compliance
95 Total Questions
1
Question
How can Retrieval Augmented Generation (RAG) help developers to build a trustworthy AI system?
Options
A RAG can generate responses that cite reference material from an external knowledge base,
ensuring transparency and verifiability.
B RAG can improve the energy efficiency of AI systems, reducing their environmental impact and cooling requirements.
C RAG can align AI models with one another, improving the accuracy of AI systems through cross- checking.
D RAG can enhance the security features of AI systems, ensuring confidential computing and encrypted traffic.
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2
Question
Which technology will allow you to deploy an LLM for production application?
Options
A Triton
B Falcon
C Pandas
D Git
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3
Question
In the context of machine learning model deployment, how can Docker be utilized to enhance the process?
Options
A To directly increase the accuracy of machine learning models.
B To reduce the computational resources needed for training models.
C To provide a consistent environment for model training and inference.
D To automatically generate features for machine learning models.
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4
Question
You have access to training data but no access to test dat
Options
A Greedy decoding
B Average entropy approximation
C Randomized controlled trial
D Cross-validation
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5
Question
Which of the following contributes to the ability of RAPIDS to accelerate data processing? (Pick the 2 correct responses)
Select 2
Options
A Enabling data processing to scale to multiple GPUs.
B Subsampling datasets to provide rapid but approximate answers.
C Using the GPU for parallel processing of data.
D Ensuring that CPUs are running at full clock speed.
E Providing more memory for data analysis.
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