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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which of the following tasks can be performed using the transformer LLM encoder model?

A) Semantic analysis
B) Generating code
C) Speech recognition
D) Image generation

2. In large-language models, what is the purpose of the attention mechanism?

A) To capture the order of the words in the input sequence.
B) To assign weights to each word in the input sequence.
C) To determine the order in which words are generated.
D) To measure the importance of the words in the output sequence.

3. In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

A) It requires AI systems to be developed with an ethical consideration for societal impacts.
B) It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
C) It ensures that AI systems are transparent in their decision-making processes.
D) It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.

4. What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?

A) To classify input images as noisy or clean.
B) To detect noisy objects in input images.
C) To generate new images from pure noise.
D) To segment noisy patches in input images.

5. What characteristic of autoencoders makes them suitable for anomaly detection?

A) Their function in enhancing the quality of images.
B) Their ability to classify images with high accuracy.
C) Their capability to predict future outcomes based on past data.
D) Their capacity to learn a compressed representation of the data.

Solutions: