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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Multimodal Data | 15% | - Applications and use cases - Handling and integrating text, image, and audio data |
| Topic 2: Software Development & Engineering | 15% | - Python libraries for multimodal AI - Integration and deployment of multimodal AI systems |
| Topic 3: Data Analysis & Visualization | 10% | - Visualization techniques for multimodal data - Data preprocessing and feature engineering |
| Topic 4: Experimentation | 25% | - Hypothesis testing - A/B testing - Experimental design - Model evaluation and comparison |
| Topic 5: Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
| Topic 6: Performance Optimization | 10% | - Monitoring and improving system efficiency - Techniques for optimizing AI performance |
| Topic 7: Trustworthy AI | 5% | - Ensuring fairness and transparency - Ethical considerations in AI development |
NVIDIA Generative AI Multimodal Sample Questions:
You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?
- A. Bar chart
- B. Histogram chart
- C. Line chart
- D. Pie chart
Correct Answer: B 🗳️
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What role does 'late fusion' play in multimodal machine learning?
- A. It refers to the process of combining multiple modalities at the preprocessing stage.
- 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 decision level.
Correct Answer: D 🗳️
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What is the purpose of a kernel in a Convolutional Neural Network (CNN)?
- A. To calculate the loss function.
- B. To classify the data into different categories.
- C. To normalize the input data.
- D. To perform convolution operations on input data.
Correct Answer: D 🗳️
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You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?
- A. Interviewing the developers of the AI model to assess its performance.
- B. Calculating the loss function of the model on the training set.
- C. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
- D. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
Correct Answer: D 🗳️
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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 ability to recognize various facial expressions.
- B. The model's accuracy in recognizing individuals of different races.
- C. The model's compatibility with different operating systems.
- D. The model's processing speed in recognizing faces of different races.
Correct Answer: B 🗳️
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