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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is the role of CLIP (Contrastive Language-Image Pretraining) in text-to-image generation?

A) CLIP is used to generate image captions from textual input.
B) CLIP is used to convert textual input into image embeddings.
C) CLIP is used to enhance datasets through data augmentation for text-to-image generation.
D) CLIP provides a common embedding space for both the textual and image modalities.

2. What is the correct order of steps in an ML project?

A) Model evaluation, Data preprocessing, Model training, Data collection
B) Data preprocessing, Data collection, Model training, Model evaluation
C) Model evaluation, Data collection, Data preprocessing, Model training
D) Data collection, Data preprocessing, Model training, Model evaluation

3. 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) Linear Regression
B) Convolutional Neural Network (CNN)
C) Logistic Regression
D) K-Means Clustering

4. In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

A) Decision tree
B) Generative adversarial network (GAN)
C) K-means clustering
D) Support vector machine (SVM)

5. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To classify and categorize data based on patterns and features.
B) To optimize decision-making processes based on historical data.
C) To optimize search algorithms for faster data retrieval.
D) To produce new data that is similar to the training data.

Solutions: