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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

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

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

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

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

4. In machine learning, what is the purpose of data normalization?

A) To convert data into a specific format for easier analysis.
B) To reduce the dimensionality of the dataset.
C) To remove irrelevant data from the dataset.
D) To increase the complexity of the dataset.

5. Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A) Histogram
B) Box plot
C) Heatmap
D) Pie chart

Solutions: