NVIDIA NCA-GENM : NVIDIA Generative AI Multimodal

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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) Focusing on enhancing the resolution and quality of images before classification.
D) Using a model like CLIP for encoding both images and their textual descriptions into a shared representation space for comparison.

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

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

3. What is a main application of Triton Inference Server?

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

4. Which of the following is a component of the Content Authenticity Initiative?

A) Ethical AI development
B) Content validity
C) Content credential
D) Data encryption

5. What does 'modality alignment' refer to?

A) The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
B) Aligning different modalities within multimodal data to ensure meaningful connections and associations.
C) The integration of pretrained models to perform custom tasks involving different types of data.
D) Addressing challenges related to missing or incomplete information across different modalities.

Solutions: