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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What advantage does multimodal learning have over unimodal learning?

A) It can capture more complex patterns and relationships in data.
B) It requires fewer data samples for learning.
C) It is easier to collect multimodal data than unimodal data.
D) It is more reliable than unimodal learning.

2. You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?

A) K-Means Clustering
B) Linear Regression
C) Convolutional Neural Networks (CNN)
D) Decision Trees

3. 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) The data used to train the AI system may not be representative of the population it is intended to serve.
C) Bias in data is irrelevant as long as the AI system produces accurate predictions.
D) Bias in data can only be addressed after the AI system has been deployed.

4. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To optimize search algorithms for faster data retrieval.
B) To produce new data that is similar to the training data.
C) To optimize decision-making processes based on historical data.
D) To classify and categorize data based on patterns and features.

5. What are some methods to overcome limited throughput between CPU and GPU?

A) Increase the clock speed of the CPU.
B) Upgrade the GPU to a higher-end model.
C) Increase the number of CPU cores.
D) Using techniques like memory pooling.

Solutions: