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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. For building a zero-shot image classification pipeline, what could be a crucial step in the process?

A) Manually labeling each image in the dataset for precise classification.
B) Designing an algorithm to replace the need for textual descriptions in the classification process.
C) Using a model like CLIP for encoding both images and their textual descriptions into a shared representation space for comparison.
D) Focusing on enhancing the resolution and quality of images before classification.

2. Which metric is commonly used to evaluate machine-translation models?

A) Accuracy
B) Mean Absolute Error (MAE)
C) BLEU score
D) F1 score

3. What are some methods to overcome limited throughput between CPU and GPU?

A) Increase the number of CPU cores.
B) Upgrade the GPU to a higher-end model.
C) Using techniques like memory pooling.
D) Increase the clock speed of the CPU.

4. What is the purpose of a kernel in a Convolutional Neural Network (CNN)?

A) To perform convolution operations on input data.
B) To calculate the loss function.
C) To normalize the input data.
D) To classify the data into different categories.

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

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

Solutions: