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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Topic 2: Generative AI Concepts | - Generative models
|
| Topic 3: NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
| Topic 4: Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
| Topic 5: Multimodal AI Systems | - Cross-modal learning
|
NVIDIA Generative AI Multimodal Sample Questions:
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
Correct Answer: B 🗳️
Explanation: Only visible for Prep4sureExam members. You can sign-up / login (it's free).
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.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4sureExam members. You can sign-up / login (it's free).
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.
Correct Answer: A 🗳️
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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
Correct Answer: A 🗳️
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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.
Correct Answer: C 🗳️
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