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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. How does CLIP understand the content of both text and images?

A) By converting text and images into a frequency domain for comparison.
B) Using contrastive learning to match images with text descriptions.
C) By translating images into text and comparing them with the prompt.
D) Through a database of predefined images with their descriptions.

2. You have been given a dataset with missing values. What is the first step you should take with the data?

A) Analyze the patterns and distribution of missing values.
B) Remove the rows with missing values.
C) Remove the columns with missing values.
D) Fill in the missing values with a default value.

3. What is a main application of Triton Inference Server?

A) Triton Server can be used to generate images from pure noise.
B) Triton Server can be used to deploy AI models on the GPU only.
C) Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
D) Triton Server can be used to deploy neural networks from various frameworks.

4. Which of the following best describes the role of the Hugging Face model repository in ML software development?

A) A set of NVIDIA SDKs, such as Riva, NeMo, Triton, and ACE, for implementing neural network architectures.
B) A convenient tool for deploying neural networks for production-scale inference similar to Triton Server.
C) A platform for sharing and accessing pre-trained models and transformers for natural language processing.
D) A library for customizing large language models like GPT, LLaMA-2, and Falcon using the NeMo framework.

5. What are some methods to overcome limited throughput between CPU and GPU?

A) Increase the clock speed of the CPU.
B) Increase the number of CPU cores.
C) Upgrade the GPU to a higher-end model.
D) Using techniques like memory pooling.

Solutions: