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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization | 10% | - Techniques for optimizing AI performance - Monitoring and improving system efficiency |
| Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
| Multimodal Data | 15% | - Handling and integrating text, image, and audio data - Applications and use cases |
| Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Trustworthy AI | 5% | - Ethical considerations in AI development - Ensuring fairness and transparency |
| Experimentation | 25% | - Experimental design - Hypothesis testing - Model evaluation and comparison - A/B testing |
| Data Analysis & Visualization | 10% | - Data preprocessing and feature engineering - Visualization techniques for multimodal data |
NVIDIA Generative AI Multimodal Sample Questions:
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 is irrelevant in ML software engineering.
- C. A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
- D. A/B testing helps in optimizing the hyperparameters of a machine learning model.
Correct Answer: C 🗳️
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How does the batch size influence VRAM consumption during inference with ML models on GPUs?
- A. Increasing or decreasing the batch size has the same impact on VRAM consumption.
- B. Decreasing the batch size reduces VRAM consumption.
- C. The batch size has no impact on VRAM consumption during inference.
- D. Increasing the batch size reduces VRAM consumption because more data can be processed in parallel.
Correct Answer: B 🗳️
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In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?
- A. Generative adversarial network (GAN)
- B. Decision tree
- C. Support vector machine (SVM)
- D. K-means clustering
Correct Answer: A 🗳️
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During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Removing duplicates
- B. Transforming data into a different format
- C. Collecting additional data
- D. Identifying and handling missing values
Correct Answer: C 🗳️
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What advantage does multimodal learning have over unimodal learning?
- A. It is more reliable than unimodal learning.
- B. It requires fewer data samples for learning.
- C. It can capture more complex patterns and relationships in data.
- D. It is easier to collect multimodal data than unimodal data.
Correct Answer: C 🗳️
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