Free Practice Dell EMC NCA-GENM Exam Questions 2025

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)

As an AI developer, it's essential to stay informed about the latest advancements in language learning models. Which of the following strategies would be most effective in ensuring you are up-to-date with both academic research and industry trends?

A tech company is deploying a multimodal AI system that combines video surveillance, audio analysis, and motion sensors to enhance security in a large industrial facility. The system works well during the day but struggles at night when there is limited lighting and more background noise. Additionally, the system consumes a significant amount of energy, leading to higher operational costs. What is the most likely cause of the system's poor performance and high energy consumption at night?

You are testing the effectiveness of a multimodal AI model designed to predict stock market trends using financial news articles, social media sentiment, and historical stock prices. The model performs well during periods of market stability but shows significant accuracy drops during market volatility. What approach should you take to improve the model's performance during volatile periods?

You are responsible for maintaining a multimodal generative AI system that processes customer service requests by analyzing both text and voice inputs. The system must categorize the requests, generate appropriate responses, and then forward them to the relevant department. However, the system is struggling with the accurate categorization of requests when the voice data contains background noise. What is the best approach to improve the system’s performance in this scenario?