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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) Remove the columns with missing values.
C) Remove the rows with missing values.
D) Fill in the missing values with a default value.

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

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

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

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

4. How does the batch size influence VRAM consumption during inference with ML models on GPUs?

A) The batch size has no impact on VRAM consumption during inference.
B) Increasing or decreasing the batch size has the same impact on VRAM consumption.
C) Decreasing the batch size reduces VRAM consumption.
D) Increasing the batch size reduces VRAM consumption because more data can be processed in parallel.

5. You are developing a GenAI-Multimodal system that uses data from various sources. What is one potential issue you need to consider in relation to bias in data?

A) Bias in data is not a concern for AI systems as they are designed to be neutral and objective.
B) Bias in data can only be addressed after the AI system has been deployed.
C) The data used to train the AI system may not be representative of the population it is intended to serve.
D) Bias in data is irrelevant as long as the AI system produces accurate predictions.

Solutions: