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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Experimentation | 25% | - Model evaluation and comparison - Hypothesis testing - Experimental design - A/B testing |
| Multimodal Data | 15% | - Applications and use cases - Handling and integrating text, image, and audio data |
| Trustworthy AI | 5% | - Ethical considerations in AI development - Ensuring fairness and transparency |
| Performance Optimization | 10% | - Techniques for optimizing AI performance - Monitoring and improving system efficiency |
| Data Analysis & Visualization | 10% | - Data preprocessing and feature engineering - Visualization techniques for multimodal data |
| Software Development & Engineering | 15% | - Python libraries for multimodal AI - Integration and deployment of multimodal AI systems |
| Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
NVIDIA Generative AI Multimodal Sample Questions:
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 ability to recognize various facial expressions.
- B. The model's compatibility with different operating systems.
- C. The model's accuracy in recognizing individuals of different races.
- D. The model's processing speed in recognizing faces of different races.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
What is the significance of A/B testing in ML software engineering?
- A. A/B testing helps in optimizing the hyperparameters of a machine learning model.
- B. A/B testing is used to measure the impact of changes in the user interface of a ML application.
- C. A/B testing is irrelevant in ML software engineering.
- D. A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
What does 'kernel fusion' refer to in the context of AI model optimization?
- A. Applying multiple layers of kernels to improve model accuracy.
- B. Using kernel functions to optimize model hyperparameters.
- C. Optimizing model inference by reducing the number of computations by pruning.
- D. Combining multiple kernels into a single kernel for faster computation.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
What advantage does multimodal learning have over unimodal learning?
- A. It requires fewer data samples for learning.
- B. It is easier to collect multimodal data than unimodal data.
- C. It is more reliable than unimodal learning.
- D. It can capture more complex patterns and relationships in data.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
Which of the following tasks can be performed using the transformer LLM encoder model?
- A. Speech recognition
- B. Semantic analysis
- C. Image generation
- D. Generating code
Correct Answer: B 🗳️
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