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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
Why is layer normalization important in transformer architectures?
Options
A To encode positional information within the sequence.
B To compress the model size for efficient storage.
C To stabilize the learning process by adjusting the inputs across the features.
D To enhance the model's ability to generalize to new data.
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2
Question
You are using RAPIDS and Python for a data analysis project. Which pair of statements best explains

how RAPIDS accelerates data science?
Options
A RAPIDS is a Python library that provides functions to accelerate the PCIe bus throughput via word- doubling.
B RAPIDS provides lossless compression of CPU-GPU memory transfers to speed up data analysis.
C RAPIDS enables on-GPU processing of computationally expensive calculations and minimizes CPU- GPU memory transfers.
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3
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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4
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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5
Question
Which model deployment framework is used to deploy an NLP project, especially for high- performance inference in production environments?
Options
A NVIDIA Triton
B NeMo
C HuggingFace
D NVIDIA DeepStream
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