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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

A) Decision tree
B) Support vector machine (SVM)
C) Generative adversarial network (GAN)
D) K-means clustering

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

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

3. 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) Manually labeling each image in the dataset for precise classification.
C) Focusing on enhancing the resolution and quality of images before classification.
D) Designing an algorithm to replace the need for textual descriptions in the classification process.

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

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

5. Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

A) Neural network integration
B) Prompt engineering
C) State management and composition
D) Transfer learning

Solutions: