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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

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

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

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

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

3. Which of the following best describes the role of machine learning in handling multimodal data?

A) To enable models to learn from and interpret diverse data types.
B) To focus on textual data analysis.
C) To reduce the amount of data needed for accurate predictions.
D) To eliminate the need for human intervention in data analysis.

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

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

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

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

Solutions: