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NVIDIA NCA-GENM Q&A - in .pdf
- Exam Code: NCA-GENM
- Exam Name: NVIDIA Generative AI Multimodal
- Updated: Sep 29, 2026
- Q & A: 58 Questions and Answers
- Convenient, easy to study.
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- Updated: Sep 29, 2026
- Q & A: 58 Questions and Answers
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NVIDIA NCA-GENM Q&A - Testing Engine
- Exam Code: NCA-GENM
- Exam Name: NVIDIA Generative AI Multimodal
- Updated: Sep 29, 2026
- Q & A: 58 Questions and Answers
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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Topic 2: Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
| Topic 3: Trustworthy AI | 5% | - Ensuring fairness and transparency - Ethical considerations in AI development |
| Topic 4: Multimodal Data | 15% | - Handling and integrating text, image, and audio data - Applications and use cases |
| Topic 5: Experimentation | 25% | - Experimental design - A/B testing - Hypothesis testing - Model evaluation and comparison |
| Topic 6: Performance Optimization | 10% | - Techniques for optimizing AI performance - Monitoring and improving system efficiency |
| Topic 7: Data Analysis & Visualization | 10% | - Visualization techniques for multimodal data - Data preprocessing and feature engineering |
NVIDIA Generative AI Multimodal Sample Questions:
Question #1
During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Collecting additional data
- B. Transforming data into a different format
- C. Removing duplicates
- D. Identifying and handling missing values
Correct Answer: A 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #2
You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds. Which of the following ML models would be the most appropriate choice for this task?
- A. Linear Regression
- B. Logistic Regression
- C. Convolutional Neural Network (CNN)
- D. K-Means Clustering
Correct Answer: C 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #3
What is a main application of Triton Inference Server?
- A. Triton Server can be used to deploy neural networks from various frameworks.
- B. Triton Server can be used to generate images from pure noise.
- C. Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
- D. Triton Server can be used to deploy AI models on the GPU only.
Correct Answer: A 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #4
Which of the following tasks can be performed using the transformer LLM encoder model?
- A. Speech recognition
- B. Image generation
- C. Generating code
- D. Semantic analysis
Correct Answer: D 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
Question #5
Which of the following best describes the role of the Hugging Face model repository in ML software development?
- A. A convenient tool for deploying neural networks for production-scale inference similar to Triton Server.
- B. A platform for sharing and accessing pre-trained models and transformers for natural language processing.
- C. A library for customizing large language models like GPT, LLaMA-2, and Falcon using the NeMo framework.
- D. A set of NVIDIA SDKs, such as Riva, NeMo, Triton, and ACE, for implementing neural network architectures.
Correct Answer: B 🗳️
Explanation: Only visible for PracticeDump members. You can sign-up / login (it's free).
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