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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
| Topic 2: Generative AI Concepts | - Generative models
|
| Topic 3: Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Topic 4: Multimodal AI Systems | - Cross-modal learning
|
| Topic 5: NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
NVIDIA Generative AI Multimodal Sample Questions:
What advantage does multimodal learning have over unimodal learning?
- A. It requires fewer data samples for learning.
- B. It is easier to collect multimodal data than unimodal data.
- C. It is more reliable than unimodal learning.
- D. It can capture more complex patterns and relationships in data.
Correct Answer: D 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
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. Histogram chart
- B. Line chart
- C. Pie chart
- D. Bar chart
Correct Answer: A 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
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 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
Assume you need to implement a multimodal pipeline to diagnose brain cancer type using MRI scans and their corresponding radiology reports. What do you need to include in the ablation study?
- A. Training a deep learning model using the images in the dataset to find outliers and enhancing the quality of MRI scans using image processing techniques.
- B. Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.
- C. More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
- D. Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
Correct Answer: D 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
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 processing speed in recognizing faces of different races.
- C. The model's accuracy in recognizing individuals of different races.
- D. The model's compatibility with different operating systems.
Correct Answer: C 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
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