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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following best describes the role of machine learning in handling multimodal data?

A) To focus on textual data analysis.
B) To reduce the amount of data needed for accurate predictions.
C) To eliminate the need for human intervention in data analysis.
D) To enable models to learn from and interpret diverse data types.

2. In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

A) Generative adversarial network (GAN)
B) K-means clustering
C) Decision tree
D) Support vector machine (SVM)

3. Which framework is used for conversational AI models development?

A) NVIDIA Clara
B) NVIDIA NeMo
C) NVIDIA DeepStream
D) NVIDIA Metropolis

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

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

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) The model's ability to perform tasks it has not been explicitly trained on
D) A technique to reduce training time to zero

Solutions: