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NVIDIA NCA-GENM Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA Generative AI Multimodal Certification Exam (NCA-GENM) |
| Exam Number: | NCA-GENM |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 50-60 |
| Related Certifications: | NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) |
| Available Languages: | English |
| Exam Price: | $125 USD |
| Recommended Training: | NVIDIA Deep Learning Institute (DLI) Courses |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCA-GENM Sample Questions |
| Exam Way: | Online proctored exam (remote) |
| Pre Condition: | Basic understanding of generative AI and machine learning concepts is recommended; familiarity with Python and neural networks is helpful. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/generative-ai-multimodal-associate/ |
NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Responsible and Trustworthy AI | - Ethical AI principles - Bias and safety considerations |
| Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Multimodal AI Systems | - Multimodal model design - Cross-modal learning
|
| Generative AI Concepts | - Generative models
|
| NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
NVIDIA Generative AI Multimodal Sample Questions:
What role does 'late fusion' play in multimodal machine learning?
- A. It refers to the process of combining multiple modalities at the decision level.
- B. It refers to the process of combining multiple modalities at the feature level.
- C. It refers to the process of combining multiple modalities at the training stage.
- D. It refers to the process of combining multiple modalities at the preprocessing stage.
Correct Answer: A 🗳️
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What is the significance of A/B testing in ML software engineering?
- A. A/B testing is used to measure the impact of changes in the user interface of a ML application.
- B. A/B testing helps in optimizing the hyperparameters of a machine learning model.
- C. A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
- D. A/B testing is irrelevant in ML software engineering.
Correct Answer: C 🗳️
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In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?
- A. It requires AI systems to be developed with an ethical consideration for societal impacts.
- B. It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.
- C. It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
- D. It ensures that AI systems are transparent in their decision-making processes.
Correct Answer: C 🗳️
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During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Removing duplicates
- B. Identifying and handling missing values
- C. Collecting additional data
- D. Transforming data into a different format
Correct Answer: C 🗳️
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In a Generative Adversarial Network (GAN), what is the role of the discriminator?
- A. To distinguish between real and generated data.
- B. To optimize the training process.
- C. To generate new data based on the training set.
- D. To calculate the loss function and update the generator.
Correct Answer: A 🗳️
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