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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Experimentation | 25% | - Model training, fine-tuning, and evaluation - Experiment design and methodology - Metrics and validation strategies for generative models |
| Performance Optimization | 10% | - Scalability and deployment considerations - Hardware acceleration with NVIDIA platforms - Model efficiency and inference optimization |
| Core Machine Learning and AI Knowledge | 20% | - Fundamental concepts of machine learning and deep learning - Generative AI principles and techniques - Neural network architectures relevant to multimodal systems |
| Multimodal Data | 15% | - Data preprocessing, fusion, and representation - Characteristics of text, image, and audio data - Multimodal model architectures and integration |
| Data Analysis and Visualization | 10% | - Interpretation of generative AI outputs - Visualization techniques for model behavior and results - Analyzing multimodal datasets and outputs |
| Trustworthy AI | 5% | - Reliability, fairness, and safety in generative systems - Robustness and error mitigation - Ethical considerations and responsible use |
| Software Development and Engineering | 15% | - Development workflows for generative AI applications - Libraries, frameworks, and tools for multimodal AI - Best practices for building and maintaining systems |
NVIDIA Generative AI Multimodal Sample Questions:
1. Which of the following is a disadvantage of the ReLU activation function?
A) It is not suitable for deep neural networks.
B) It is computationally expensive.
C) It can cause dead neurons.
D) It is prone to vanishing gradient problem.
2. You have been given a dataset with missing values. What is the first step you should take with the data?
A) Remove the rows with missing values.
B) Analyze the patterns and distribution of missing values.
C) Fill in the missing values with a default value.
D) Remove the columns with missing values.
3. 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) Scatter plot
B) Bar chart
C) Pie chart
D) Line chart
4. What is the significance of A/B testing in ML software engineering?
A) A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
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 optimizing the hyperparameters of a machine learning model.
5. What is the correct order of steps in an ML project?
A) Model evaluation, Data collection, Data preprocessing, Model training
B) Data preprocessing, Data collection, Model training, Model evaluation
C) Data collection, Data preprocessing, Model training, Model evaluation
D) Model evaluation, Data preprocessing, Model training, Data collection
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |
