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NCA-GENL Dumps - NVIDIA Generative AI LLMs Practice Exam Questions

NVIDIA NCA-GENL - NVIDIA-Certified Associate Practice Exam

  • Certification Provider:NVIDIA
  • Exam Code:NCA-GENL
  • Exam Name:NVIDIA Generative AI LLMs
  • Certification Name:NVIDIA-Certified Associate
  • Total Questions:95 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current NCA-GENL exam blueprint. Updated on Nov 27, 2025
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NVIDIA NCA-GENL This Week Results

NCA-GENL Question and Answers

Question # 1

Which of the following contributes to the ability of RAPIDS to accelerate data processing? (Pick the 2 correct responses)

Options:

A.  

Ensuring that CPUs are running at full clock speed.

B.  

Subsampling datasets to provide rapid but approximate answers.

C.  

Using the GPU for parallel processing of data.

D.  

Enabling data processing to scale to multiple GPUs.

E.  

Providing more memory for data analysis.

Discussion 0
Question # 2

In the development of Trustworthy AI, what is the significance of ‘Certification’ as a principle?

Options:

A.  

It ensures that AI systems are transparent in their decision-making processes.

B.  

It requires AI systems to be developed with an ethical consideration for societal impacts.

C.  

It involves verifying that AI models are fit for their intended purpose according to regional or industry-specific standards.

D.  

It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.

Discussion 0
Question # 3

Which of the following claims is correct about quantization in the context of Deep Learning? (Pick the 2 correct responses)

Options:

A.  

Quantization might help in saving power and reducing heat production.

B.  

It consists of removing a quantity of weights whose values are zero.

C.  

It leads to a substantial loss of model accuracy.

D.  

Helps reduce memory requirements and achieve better cache utilization.

E.  

It only involves reducing the number of bits of the parameters.

Discussion 0

PDF vs Software Version

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NCA-GENL FAQs

The NCA-GENL is an NVIDIA AI certification focused on validating skills in generative AI using large language models. It’s designed for professionals working with LLM-based applications and AI infrastructure.

This certification is ideal for developers, data scientists, AI engineers, and anyone interested in deploying and optimizing generative AI models.

The exam covers LLM architecture, model training, fine-tuning, prompt engineering, deployment strategies, and performance optimization.

Yes, it’s part of the NVIDIA AI certification track, which includes several domain-specific credentials in AI and deep learning.

The exam typically includes multiple-choice and scenario-based questions. Candidates may also encounter practical case studies.

The exam duration is usually 90 minutes, though specifics may vary depending on the testing center or platform.

It demonstrates your ability to design, optimize, and deploy generative AI applications using NVIDIA technology and LLMs.

Benefits include industry recognition, career advancement, and hands-on understanding of LLMs in production environments.

The certification is valid for two years from the date of issue.

While prices can vary, the average cost is typically between $200–$300 USD.

Basic knowledge of CUDA helps, especially when working with optimization and parallel computing tasks.

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