Prepare with NVIDIA NCA-GENM exam torrent, pass for sure
Updated: Oct 11, 2026
No. of Questions: 58 Questions & Answers with Testing Engine
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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 Duration: | 60 minutes |
| Real Exam Qty: | 50-60 |
| Related Certifications: | NVIDIA Certified Associate - AI Infrastructure and Operations (NCA-AIIO) NVIDIA Certified Associate - Generative AI LLMs (NCA-GENL) |
| Passing Score: | Not publicly disclosed |
| Exam Price: | $125 USD |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Format: | Multiple-choice |
| 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% | - Ethical considerations in AI development - Ensuring fairness and transparency |
| Experimentation | 25% | - Model evaluation and comparison - Experimental design - A/B testing - Hypothesis testing |
| Multimodal Data | 15% | - Handling and integrating text, image, and audio data - Applications and use cases |
| Core ML & AI Knowledge | 20% | - Basic concepts and terminology - Key algorithms and techniques |
| Performance Optimization | 10% | - Monitoring and improving system efficiency - Techniques for optimizing AI performance |
| Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Data Analysis & Visualization | 10% | - Data preprocessing and feature engineering - Visualization techniques for multimodal data |
NVIDIA Generative AI Multimodal Sample Questions:
You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?
- A. Calculating the loss function of the model on the training set.
- B. Interviewing the developers of the AI model to assess its performance.
- C. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
- D. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
Correct Answer: C 🗳️
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You are evaluating the performance of an AI model for facial recognition. What is an important consideration when evaluating the model for bias?
- A. The model's processing speed in recognizing faces of different races.
- B. The model's accuracy in recognizing individuals of different races.
- C. The model's compatibility with different operating systems.
- D. The model's ability to recognize various facial expressions.
Correct Answer: B 🗳️
Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).
Assume you need to implement a multimodal pipeline to diagnose brain cancer type using MRI scans and their corresponding radiology reports. What do you need to include in the ablation study?
- A. More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
- B. Training a deep learning model using the images in the dataset to find outliers and enhancing the quality of MRI scans using image processing techniques.
- C. Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
- D. Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.
Correct Answer: C 🗳️
Explanation: Only visible for Test4Sure members. You can sign-up / login (it's free).
During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Identifying and handling missing values
- B. Transforming data into a different format
- C. Collecting additional data
- D. Removing duplicates
Correct Answer: C 🗳️
Explanation: Only visible for Test4Sure 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 focus on textual data analysis.
- B. To eliminate the need for human intervention in data analysis.
- C. To enable models to learn from and interpret diverse data types.
- D. To reduce the amount of data needed for accurate predictions.
Correct Answer: C 🗳️
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Most of the NCA-GENM answers are correct but several of them are incorrect.
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