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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. You are developing a GenAI-Multimodal system that uses data from various sources. What is one potential issue you need to consider in relation to bias in data?

A) Bias in data is irrelevant as long as the AI system produces accurate predictions.
B) Bias in data is not a concern for AI systems as they are designed to be neutral and objective.
C) Bias in data can only be addressed after the AI system has been deployed.
D) The data used to train the AI system may not be representative of the population it is intended to serve.

2. You are evaluating the performance of an AI model for facial recognition. What is an important consideration when evaluating the model for bias?

A) The model's ability to recognize various facial expressions.
B) The model's accuracy in recognizing individuals of different races.
C) The model's processing speed in recognizing faces of different races.
D) The model's compatibility with different operating systems.

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

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

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

5. In LLM evaluation, what does "zero-shot learning" refer to?

A) The model's performance after extensive training
B) The model's ability to learn from zero examples
C) A technique to reduce training time to zero
D) The model's ability to perform tasks it has not been explicitly trained on

Solutions: