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NVIDIA NCA-GENM Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA Certified Associate - Generative AI Multimodal |
| Exam Number: | NCA-GENM |
| Exam Price: | $125 USD |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple-choice |
| Available Languages: | English |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 60 minutes |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | NVIDIA Certified Associate - AI Infrastructure and Operations (NCA-AIIO) NVIDIA Certified Associate - Generative AI LLMs (NCA-GENL) |
| Sample Questions: | NVIDIA NCA-GENM Sample Questions |
| Exam Way: | Online, remotely proctored |
| Pre Condition: | A basic understanding of generative AI and multimodal models. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/generative-ai-multimodal/ |
NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Trustworthy AI | 5% | - Ensuring fairness and transparency - Ethical considerations in AI development |
| Data Analysis & Visualization | 10% | - Visualization techniques for multimodal data - Data preprocessing and feature engineering |
| Experimentation | 25% | - Model evaluation and comparison - A/B testing - Experimental design - Hypothesis testing |
| Multimodal Data | 15% | - Handling and integrating text, image, and audio data - Applications and use cases |
| Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Performance Optimization | 10% | - Techniques for optimizing AI performance - Monitoring and improving system efficiency |
| Core ML & AI Knowledge | 20% | - Basic concepts and terminology - Key algorithms and techniques |
NVIDIA Generative AI Multimodal Sample Questions:
What advantage does multimodal learning have over unimodal learning?
- A. It is more reliable than unimodal learning.
- B. It can capture more complex patterns and relationships in data.
- C. It requires fewer data samples for learning.
- D. It is easier to collect multimodal data than unimodal data.
Correct Answer: B 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
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. Logistic Regression
- B. Convolutional Neural Network (CNN)
- C. Linear Regression
- D. K-Means Clustering
Correct Answer: B 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
What is a common method to reduce the computational cost of deep learning models during inference?
- A. Increasing the batch size.
- B. By replacing activation functions in some neurons with simpler ones.
- C. Adding more convolutional filters.
- D. Pruning weights or neurons.
Correct Answer: D 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
What does mixed-precision training refer to?
- A. Training a model using incomplete or missing information from different modalities.
- B. Training a model using diverse data types while addressing challenges related to missing or incomplete information.
- C. Training a model using different types of data, such as text, images, audio, time series, and geospatial information.
- D. Training a model using multiple precision levels, such as using both single-precision and double- precision floating-point numbers.
Correct Answer: D 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
What is the role of CLIP (Contrastive Language-Image Pretraining) in text-to-image generation?
- A. CLIP provides a common embedding space for both the textual and image modalities.
- B. CLIP is used to enhance datasets through data augmentation for text-to-image generation.
- C. CLIP is used to generate image captions from textual input.
- D. CLIP is used to convert textual input into image embeddings.
Correct Answer: A 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
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