Free NCA-GENM Exam Questions - Easiest Way for Success

You need to deploy an end-to-end conversational AI pipeline on NVIDIA Riva that supports multiple languages. What is the most effective approach to ensure accurate ASR, NLP, and TTS performance across different languages?

When customizing an LLM for a specific industry task where quick deployment and computational efficiency are priorities, which of the following methods would be most appropriate?

You are developing a multimodal model that integrates audio, text, and image data for a sentiment analysis task. During training, you observe that the model’s loss function is fluctuating significantly, particularly when fusing the different modalities. Which technique is most likely to improve the stability of the model during training?

You are working on a multimodal AI project that involves integrating image data with textual descriptions for a product recommendation system. Under the supervision of a senior team member, you are tasked with writing a Python script to preprocess the image data and textual data before they are fed into the model. After running your preprocessing script, the model’s performance on the test set is significantly lower than expected. What is the most likely issue with your preprocessing script?

You are designing a multimodal AI system for a smart city project that monitors traffic, air quality, and public safety using video feeds, sensor data, and social media analysis. The system needs to operate continuously with high accuracy while minimizing energy consumption across multiple edge devices. Which strategy should you prioritize to achieve the best balance between energy efficiency and system performance?