NCA-GENM Free Exam Questions & Answers (Updated 2026)

Question No 1

What does 'modality alignment' refer to?

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The integration of pretrained models to perform custom tasks involving different types of data.

The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.

Addressing challenges related to missing or incomplete information across different modalities.

Aligning different modalities within multimodal data to ensure meaningful connections and associations.

Question No 2

In multimodal machine learning, what does 'early fusion' refer to?

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Integrating different modalities at the beginning of the model pipeline.

Ignoring certain modalities and only using one modality for analysis and prediction.

Training separate models for each modality and then combining their predictions.

Implementing the model in the early stages of development of the ML solution.

Question No 3

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

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Question No 4

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

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By converting text and images into a frequency domain for comparison.

Using contrastive learning to match images with text descriptions.

By translating images into text and comparing them with the prompt.

Through a database of predefined images with their descriptions.

Question No 5

You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?

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