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NVIDIA NCA-GENL
In Real Exam At Testing Centre
Exact Questions as in Real Exam Word by Word
NVIDIA NCA-GENL Questions and Answers
Which of the following contributes to the ability of RAPIDS to accelerate data processing? (Pick the 2 correct responses)
In the development of Trustworthy AI, what is the significance of ‘Certification’ as a principle?
Which of the following claims is correct about quantization in the context of Deep Learning? (Pick the 2 correct responses)
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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.
NVIDIA Generative AI Multimodal
NVIDIA-Certified Associate AI Infrastructure and Operations
TESTED 02 Aug 2025
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