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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis and Visualization | 10% | - Analyzing multimodal datasets and outputs - Interpretation of generative AI outputs - Visualization techniques for model behavior and results |
| Topic 2: Core Machine Learning and AI Knowledge | 20% | - Neural network architectures relevant to multimodal systems - Generative AI principles and techniques - Fundamental concepts of machine learning and deep learning |
| Topic 3: Trustworthy AI | 5% | - Reliability, fairness, and safety in generative systems - Robustness and error mitigation - Ethical considerations and responsible use |
| Topic 4: Performance Optimization | 10% | - Model efficiency and inference optimization - Hardware acceleration with NVIDIA platforms - Scalability and deployment considerations |
| Topic 5: Software Development and Engineering | 15% | - Libraries, frameworks, and tools for multimodal AI - Development workflows for generative AI applications - Best practices for building and maintaining systems |
| Topic 6: Multimodal Data | 15% | - Multimodal model architectures and integration - Characteristics of text, image, and audio data - Data preprocessing, fusion, and representation |
| Topic 7: Experimentation | 25% | - Experiment design and methodology - Metrics and validation strategies for generative models - Model training, fine-tuning, and evaluation |
NVIDIA Generative AI Multimodal Sample Questions:
Which of the following is a disadvantage of the ReLU activation function?
- A. It is computationally expensive.
- B. It can cause dead neurons.
- C. It is prone to vanishing gradient problem.
- D. It is not suitable for deep neural networks.
Correct Answer: B 🗳️
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Hyperparameter tuning is used for what purpose in machine learning experimentation?
- A. Adjusting the weights and biases of a neural network to optimize its performance.
- B. Selecting the best ML algorithm for a given task.
- C. Collecting and preprocessing data to improve the accuracy of the model.
- D. Selecting the optimal values for non-trainable parameters, such as learning rate or batch size.
Correct Answer: D 🗳️
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You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?
- A. Pie chart
- B. Bar chart
- C. Scatter plot
- D. Line chart
Correct Answer: A 🗳️
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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 compatibility with different operating systems.
- C. The model's accuracy in recognizing individuals of different races.
- D. The model's ability to recognize various facial expressions.
Correct Answer: C 🗳️
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During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Collecting additional data
- B. Transforming data into a different format
- C. Removing duplicates
- D. Identifying and handling missing values
Correct Answer: A 🗳️
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