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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What are some methods to overcome limited throughput between CPU and GPU?

A) Using techniques like memory pooling.
B) Upgrade the GPU to a higher-end model.
C) Increase the clock speed of the CPU.
D) Increase the number of CPU cores.

2. For building a zero-shot image classification pipeline, what could be a crucial step in the process?

A) Using a model like CLIP for encoding both images and their textual descriptions into a shared representation space for comparison.
B) Focusing on enhancing the resolution and quality of images before classification.
C) Designing an algorithm to replace the need for textual descriptions in the classification process.
D) Manually labeling each image in the dataset for precise classification.

3. Which of the following is a disadvantage of the ReLU activation function?

A) It is not suitable for deep neural networks.
B) It is prone to vanishing gradient problem.
C) It is computationally expensive.
D) It can cause dead neurons.

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

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

5. What is the purpose of a kernel in a Convolutional Neural Network (CNN)?

A) To perform convolution operations on input data.
B) To normalize the input data.
C) To calculate the loss function.
D) To classify the data into different categories.

Solutions: