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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. 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) Data preprocessing, Data collection, Model training, Model evaluation
D) Model evaluation, Data collection, Data preprocessing, Model training

2. In LLM evaluation, what does "zero-shot learning" refer to?

A) A technique to reduce training time to zero
B) The model's ability to learn from zero examples
C) The model's ability to perform tasks it has not been explicitly trained on
D) The model's performance after extensive training

3. In convolutional neural networks, we may use padding in both convolution and transposed convolution.
Which two (2) statements accurately describe padding in convolution and transposed convolution? Pick the 2 correct responses below.

A) Padding in convolution enables convolution operations on the boundary pixels of the input. In transposed convolution, it removes rows and columns along the perimeter of the input after it is expanded with stride.
B) Padding in convolution is used only when the input image is smaller than the filter size, while padding in transposed convolution is used only when the input image is larger than the filter size.
C) Padding in convolution and transposed convolution serve the same purpose of reducing the convolutional neural network's memory requirement and computational cost of the convolutional neural network.
D) Padding in convolution increases the spatial dimensions of the input feature map, while padding in transposed convolution decreases the spatial dimensions of the output feature maps.
E) In a convolution operation, padding is added to the output after it has been expanded with the stride. On the other hand, in a transposed convolution operation, padding is added to the input before it is expanded with stride.

4. Which of the following is a component of the Content Authenticity Initiative?

A) Ethical AI development
B) Content credential
C) Content validity
D) Data encryption

5. 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.

Solutions: