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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. You have been given a dataset with missing values. What is the first step you should take with the data?

A) Analyze the patterns and distribution of missing values.
B) Fill in the missing values with a default value.
C) Remove the rows with missing values.
D) Remove the columns with missing values.

2. You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?

A) Bar chart
B) Pie chart
C) Line chart
D) Histogram chart

3. What characteristic of autoencoders makes them suitable for anomaly detection?

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

4. What is contrastive learning in the context of multimodal deep learning? Pick the 2 correct responses below.

A) In a multimodal context, usually, contrastive learning decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.
B) Contrastive learning is a technique used to train deep learning models by comparing similar and dissimilar inputs and optimizing the model to maximize the similarity between representations of similar inputs and minimize the similarity between representations of dissimilar inputs.
C) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the same objects and decreases the similarity of representations across modalities for different objects.
D) In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the different objects and decreases the similarity of representations across modalities for same objects.
E) Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.

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

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

Solutions: