Validates the foundational concepts for developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions.
Aligned to official NVIDIA exam objectivesWritten by certified professionalsScenario-based difficulty mirrors the real exam
Core Machine Learning and AI Knowledge(60)Data Analysis(28)Experimentation(44)Software Development(48)Trustworthy AI(20)
Question Sets
NCA-GENL Set 1
50 questions
Free
NCA-GENL Set 2
50 questions
Pro
NCA-GENL Set 3
50 questions
Pro
NCA-GENL Set 4
50 questions
Pro
Sample Questions
Q1.
easy
In an associate developer planning a generative AI feature, the team is checking a basic study-guide fact. Which statement best matches model deployment evaluation?
Q2.
easy
In a supervised implementation task on an AI project, a practitioner wants the most direct documented statement. Which statement best matches large dataset insight extraction?
Q3.
easy
In a quality review for a generative AI system, a learner needs the clearest official-topic match. Which statement best matches RAG use case construction?
Q4.
easy
In a model-selection discussion with senior staff, the team is checking a basic study-guide fact. Which statement best matches chatbot use case construction?
Q5.
medium
In a quality review for a generative AI system, a senior reviewer asks which action best matches the objective. Which choice best applies the official guidance for model deployment evaluation?
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