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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. What is the significance of using a U-Net like architecture in denoising diffusion probabilistic models?

A) To detect noisy objects in input images.
B) To segment noisy patches in input images.
C) To generate new images from pure noise.
D) To classify input images as noisy or clean.

2. What is the significance of A/B testing in ML software engineering?

A) A/B testing is irrelevant in ML software engineering.
B) A/B testing is used to measure the impact of changes in the user interface of a ML application.
C) A/B testing helps in optimizing the hyperparameters of a machine learning model.
D) A/B testing helps in evaluating the performance and effectiveness of different machine learning models.

3. Which framework is used for conversational AI models development?

A) NVIDIA DeepStream
B) NVIDIA Metropolis
C) NVIDIA NeMo
D) NVIDIA Clara

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

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

5. You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

A) Bar chart
B) Pie chart
C) Line chart
D) Scatter plot

Solutions: