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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. During the process of data cleansing, which of the following steps is NOT typically performed?

A) Transforming data into a different format
B) Identifying and handling missing values
C) Collecting additional data
D) Removing duplicates

2. What does 'kernel fusion' refer to in the context of AI model optimization?

A) Applying multiple layers of kernels to improve model accuracy.
B) Combining multiple kernels into a single kernel for faster computation.
C) Optimizing model inference by reducing the number of computations by pruning.
D) Using kernel functions to optimize model hyperparameters.

3. What role does 'late fusion' play in multimodal machine learning?

A) It refers to the process of combining multiple modalities at the training stage.
B) It refers to the process of combining multiple modalities at the preprocessing stage.
C) It refers to the process of combining multiple modalities at the decision level.
D) It refers to the process of combining multiple modalities at the feature level.

4. What is the role of CLIP (Contrastive Language-Image Pretraining) in text-to-image generation?

A) CLIP is used to enhance datasets through data augmentation for text-to-image generation.
B) CLIP provides a common embedding space for both the textual and image modalities.
C) CLIP is used to generate image captions from textual input.
D) CLIP is used to convert textual input into image embeddings.

5. In the transformer architecture, what is the purpose of positional encoding?

A) To add information about the order of each token in the input sequence.
B) To encode the importance of each token in the input sequence.
C) To remove redundant information from the input sequence.
D) To encode the semantic meaning of each token in the input sequence.

Solutions: