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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. 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) Manually labeling each image in the dataset for precise classification.
D) Designing an algorithm to replace the need for textual descriptions in the classification process.

2. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Quantization
B) Dropout
C) Model enlargement
D) Data augmentation

3. You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

A) Bar chart
B) Scatter plot
C) Line chart
D) Pie chart

4. How does CLIP understand the content of both text and images?

A) Using contrastive learning to match images with text descriptions.
B) By translating images into text and comparing them with the prompt.
C) By converting text and images into a frequency domain for comparison.
D) Through a database of predefined images with their descriptions.

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

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

Solutions: