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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. 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) Data collection, Data preprocessing, Model training, Model evaluation
D) Model evaluation, Data collection, Data preprocessing, Model training

2. Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A) Heatmap
B) Pie chart
C) Box plot
D) Histogram

3. In large-language models, what is the purpose of the attention mechanism?

A) To determine the order in which words are generated.
B) To assign weights to each word in the input sequence.
C) To measure the importance of the words in the output sequence.
D) To capture the order of the words in the input sequence.

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

5. Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

A) Dropout
B) Quantization
C) Data augmentation
D) Model enlargement

Solutions: