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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

2. Which of the following best describes the role of the Hugging Face model repository in ML software development?

A) A set of NVIDIA SDKs, such as Riva, NeMo, Triton, and ACE, for implementing neural network architectures.
B) A convenient tool for deploying neural networks for production-scale inference similar to Triton Server.
C) A platform for sharing and accessing pre-trained models and transformers for natural language processing.
D) A library for customizing large language models like GPT, LLaMA-2, and Falcon using the NeMo framework.

3. In large-language models, what is the purpose of the attention mechanism?

A) To measure the importance of the words in the output sequence.
B) To determine the order in which words are generated.
C) To assign weights to each word in the input sequence.
D) To capture the order of the words in the input sequence.

4. In a Generative Adversarial Network (GAN), what is the role of the discriminator?

A) To optimize the training process.
B) To generate new data based on the training set.
C) To distinguish between real and generated data.
D) To calculate the loss function and update the generator.

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

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

Solutions: