NVIDIA NCA-GENM

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

Question #1
You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?

A. Convolutional Neural Networks (CNN)
B. Linear Regression
C. Decision Trees
D. K-Means Clustering

Question #2
What does 'kernel fusion' refer to in the context of AI model optimization?

A. Using kernel functions to optimize model hyperparameters.
B. Optimizing model inference by reducing the number of computations by pruning.
C. Combining multiple kernels into a single kernel for faster computation.
D. Applying multiple layers of kernels to improve model accuracy.

Question #3
What role does 'late fusion' play in multimodal machine learning?

A. It refers to the process of combining multiple modalities at the decision level.
B. It refers to the process of combining multiple modalities at the training stage.
C. It refers to the process of combining multiple modalities at the feature level.
D. It refers to the process of combining multiple modalities at the preprocessing stage.

Question #4
In a Generative Adversarial Network (GAN), what is the role of the discriminator?

A. To generate new data based on the training set.
B. To optimize the training process.
C. To calculate the loss function and update the generator.
D. To distinguish between real and generated data.

Question #5
In a multimodal machine learning context, how are different modalities usually linked to each other?

A. Different modalities are linked through a shared representation that captures the relationships between the modalities.
B. Different modalities are linked through random connections.
C. Different modalities are not linked to each other in a multimodal machine learning context.
D. Different modalities are linked through separate models that are ensembled by tree-based models.

Solutions: