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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
| Generative AI Concepts | - Generative models
|
| NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
| Multimodal AI Systems | - Cross-modal learning
|
| Core AI and Machine Learning Fundamentals | - Machine learning basics
|
NVIDIA Generative AI Multimodal Sample Questions:
You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds. Which of the following ML models would be the most appropriate choice for this task?
- A. K-Means Clustering
- B. Logistic Regression
- C. Linear Regression
- D. Convolutional Neural Network (CNN)
Correct Answer: D 🗳️
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How does CLIP understand the content of both text and images?
- A. By converting text and images into a frequency domain for comparison.
- B. By translating images into text and comparing them with the prompt.
- C. Using contrastive learning to match images with text descriptions.
- D. Through a database of predefined images with their descriptions.
Correct Answer: C 🗳️
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In the context of multimodal machine learning, what does 'data fusion' refer to?
- A. Separating different modalities of data into distinct representations.
- B. Removing missing or incomplete information from different modalities.
- C. Evaluating the quality of diverse data types in multimodal machine learning.
- D. Combining different modalities of data into a single representation.
Correct Answer: D 🗳️
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You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?
- A. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
- B. Calculating the loss function of the model on the training set.
- C. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
- D. Interviewing the developers of the AI model to assess its performance.
Correct Answer: C 🗳️
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Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?
- A. Pie chart
- B. Histogram
- C. Box plot
- D. Heatmap
Correct Answer: C 🗳️
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