Free Dell EMC NCA-GENM Exam Questions

You are working with an AI development team to integrate a multimodal generative AI model into an existing application. The model needs to generate both text and images based on user inputs. However, during the testing phase, the team encounters an issue where the image generation quality significantly degrades when the text prompts are complex. How should the team address this issue?

You are collaborating with a team to deploy a multimodal AI application that analyzes large datasets and generates predictive models and visualizations. After the initial deployment, users report that the application’s performance degrades significantly when processing data from multiple sources simultaneously. The system becomes slow, and the quality of the visualizations decreases. What is the most effective approach to resolve this performance issue?

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?

You are working on a multimodal AI system that combines textual data and audio recordings to generate transcripts and summaries of meetings. However, the system struggles with accurately summarizing the content when there are multiple speakers or background noise. Which approach would most effectively improve the accuracy and quality of the summaries generated by the system?

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?