NVIDIA NCA-GENM : NVIDIA Generative AI Multimodal

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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

A) Mean Opinion Score (MOS)
B) Word Error Rate (WER)
C) F1 Score
D) CTC Loss

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

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

3. What is the correct order of steps in an ML project?

A) Data preprocessing, Data collection, Model training, Model evaluation
B) Model evaluation, Data preprocessing, Model training, Data collection
C) Model evaluation, Data collection, Data preprocessing, Model training
D) Data collection, Data preprocessing, Model training, Model evaluation

4. What is the purpose of the cuDNN library?

A) To implement GPU-accelerated data preparation and feature extraction.
B) To generate images from English text-prompts using CLIP.
C) To optimize deep neural network computations on NVIDIA GPUs.
D) To measure GPU usage and other metrics with Prometheus.

5. 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 decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.
B) 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.
C) 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.
D) Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.
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.

Solutions: