Free Practice Dell EMC NCA-GENM Exam Questions 2025

You are building a multimodal generative model that combines text and visual inputs to create detailed descriptions of images. The model frequently generates descriptions that are textually rich but visually inaccurate. How can you modify the loss function to improve the accuracy of the visual components in the generated descriptions?

You are developing a multimodal AI system for a research institution that needs to analyze large datasets of satellite images (image data) and corresponding meteorological data (text and numerical data) to predict weather patterns. The system must process these datasets efficiently and provide accurate predictions in a timely manner. What hardware and software configuration would best meet these requirements?

While testing a multimodal AI model designed to generate captions for images, you observe that the generated captions are often too literal, failing to capture the nuances or context of the images. Which strategies should you consider to improve the quality of the generated captions? (Select two)

After fine-tuning a large language model (LLM) for generating legal documents, what is the most effective way to assess whether the fine-tuning has improved the model’s performance for this specific task?

You are tasked with developing a multimodal AI system for autonomous drones that perform search and rescue operations in remote areas. The system must integrate visual input from cameras with audio signals to locate and identify distressed individuals. Given the energy constraints and the need for real-time decision-making, which approach should you prioritize to optimize the system for both performance and energy efficiency?