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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question 1

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

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

Question 2

What is the correct order of steps in an ML project?

A. Model evaluation, Data preprocessing, Model training, Data collection
B. Data collection, Data preprocessing, Model training, Model evaluation
C. Model evaluation, Data collection, Data preprocessing, Model training
D. Data preprocessing, Data collection, Model training, Model evaluation

Question 3

What characteristic of autoencoders makes them suitable for anomaly detection?

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

Question 4

What is a common method to reduce the computational cost of deep learning models during inference?

A. Adding more convolutional filters.
B. Increasing the batch size.
C. By replacing activation functions in some neurons with simpler ones.
D. Pruning weights or neurons.

Question 5

What advantage does multimodal learning have over unimodal learning?

A. It is more reliable than unimodal learning.
B. It requires fewer data samples for learning.
C. It is easier to collect multimodal data than unimodal data.
D. It can capture more complex patterns and relationships in data.

Solutions: