Free NVIDIA NCA-GENM Exam Dumps Questions & Answers

How does the batch size influence VRAM consumption during inference with ML models on GPUs?

• A.  Decreasing the batch size reduces VRAM consumption.
• B.  Increasing the batch size reduces VRAM consumption because more data can be processed in parallel.
• C.  Increasing or decreasing the batch size has the same impact on VRAM consumption.
• D.  The batch size has no impact on VRAM consumption during inference.

In LLM evaluation, what does "zero-shot learning" refer to?

• A.  A technique to reduce training time to zero
• B.  The model's ability to learn from zero examples
• C.  The model's performance after extensive training
• D.  The model's ability to perform tasks it has not been explicitly trained on

What is a main application of Triton Inference Server?

• A.  Triton Server can be used to deploy neural networks from various frameworks.
• B.  Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
• C.  Triton Server can be used to deploy AI models on the GPU only.
• D.  Triton Server can be used to generate images from pure noise.

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

What is contrastive learning in the context of multimodal deep learning? Pick the 2 correct responses below.

• A.  In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the same objects and decreases the similarity of representations across modalities for different objects.
• B.  Contrastive learning is a technique used to train deep learning models by comparing similar and dissimilar inputs and optimizing the model to maximize the similarity between representations of similar inputs and minimize the similarity between representations of dissimilar inputs.
• C.  Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.
• D.  In a multimodal context, usually, contrastive learning decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.
• E.  In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the different objects and decreases the similarity of representations across modalities for same objects.