Free NVIDIA NCA-GENM Exam Dumps Questions & Answers

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

• A.  Designing an algorithm to replace the need for textual descriptions in the classification process.
• B.  Manually labeling each image in the dataset for precise classification.
• 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.

How does CLIP understand the content of both text and images?

• A.  Through a database of predefined images with their descriptions.
• B.  By translating images into text and comparing them with the prompt.
• C.  Using contrastive learning to match images with text descriptions.
• D.  By converting text and images into a frequency domain for comparison.

What does 'modality alignment' refer to?

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

What advantage does multimodal learning have over unimodal learning?

• A.  It requires fewer data samples for learning.
• B.  It can capture more complex patterns and relationships in data.
• C.  It is easier to collect multimodal data than unimodal data.
• D.  It is more reliable than unimodal learning.

You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds. Which of the following ML models would be the most appropriate choice for this task?

• A.  K-Means Clustering
• B.  Convolutional Neural Network (CNN)
• C.  Linear Regression
• D.  Logistic Regression