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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) State management and composition
C) Transfer learning
D) Prompt engineering

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

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

3. In experimentation, how does data augmentation contribute to improving model accuracy?

A) It helps in increasing the size of the dataset, leading to better generalization of the model.
B) It reduces the complexity of the model, making it easier to train and evaluate.
C) It improves the interpretability of the model by providing additional insights into the data.
D) It has no impact on model accuracy and is primarily used for data visualization purposes.

4. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Data augmentation
B) Model enlargement
C) Dropout
D) Quantization

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

Solutions: