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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A) To study the impact of AI models on human behavior.
B) To determine the best AI model architecture.
C) To analyze the cost-effectiveness of AI model development.
D) To determine the ethical implications of AI model usage.

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

3. In machine learning, what is the purpose of data normalization?

A) To increase the complexity of the dataset.
B) To reduce the dimensionality of the dataset.
C) To remove irrelevant data from the dataset.
D) To convert data into a specific format for easier analysis.

4. 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 can only be addressed after the AI system has been deployed.
D) Bias in data is irrelevant as long as the AI system produces accurate predictions.

5. In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

A) It ensures that AI systems are transparent in their decision-making processes.
B) It requires AI systems to be developed with an ethical consideration for societal impacts.
C) It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
D) It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.

Solutions: