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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 |
| Trustworthy AI | 5% | - Ensuring fairness and transparency - Ethical considerations in AI development |
| Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Data Analysis & Visualization | 10% | - Visualization techniques for multimodal data - Data preprocessing and feature engineering |
| Multimodal Data | 15% | - Applications and use cases - Handling and integrating text, image, and audio data |
| Experimentation | 25% | - A/B testing - Hypothesis testing - Experimental design - Model evaluation and comparison |
| Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
NVIDIA Generative AI Multimodal Sample Questions:
In multimodal machine learning, what does 'early fusion' refer to?
- A. Ignoring certain modalities and only using one modality for analysis and prediction.
- B. Integrating different modalities at the beginning of the model pipeline.
- C. Implementing the model in the early stages of development of the ML solution.
- D. Training separate models for each modality and then combining their predictions.
Correct Answer: B 🗳️
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In the transformer architecture, what is the purpose of positional encoding?
- A. To add information about the order of each token in the input sequence.
- B. To encode the importance of each token in the input sequence.
- C. To encode the semantic meaning of each token in the input sequence.
- D. To remove redundant information from the input sequence.
Correct Answer: A 🗳️
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What does 'modality alignment' refer to?
- A. The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
- B. The integration of pretrained models to perform custom tasks involving different types of data.
- C. Addressing challenges related to missing or incomplete information across different modalities.
- D. Aligning different modalities within multimodal data to ensure meaningful connections and associations.
Correct Answer: D 🗳️
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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. Identifying and handling missing values
- D. Removing duplicates
Correct Answer: A 🗳️
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What is the significance of A/B testing in ML software engineering?
- A. A/B testing is irrelevant in ML software engineering.
- B. A/B testing helps in optimizing the hyperparameters of a machine learning model.
- C. A/B testing is used to measure the impact of changes in the user interface of a ML application.
- D. A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
Correct Answer: D 🗳️
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