NCA-GENM Exam Dumps | You're developing an Avatar Cloud Engine (ACE) application to create a real-time, interactive virtual

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Question 41/192

You're developing an Avatar Cloud Engine (ACE) application to create a real-time, interactive virtual assistant. The assistant needs to respond to user speech, understand their intent, and generate appropriate responses. Which sequence of NVIDIA SDKs would provide the MOST complete solution for this task?

A. Riva (for speech recognition and synthesis) -> Triton Inference Server (for serving a pre-trained chatbot model) -> ACE (for avatar rendering and animation).

B. NeMo (for training a custom language model) -> Triton Inference Server (for serving the trained language model) -> ACE (for avatar rendering and animation).

C. Riva (for speech recognition and synthesis) -> NeMo (for natural language understanding and response generation) -> Triton Inference Server (for model deployment) ACE (for avatar rendering and animation).

D. Triton Inference Server (for serving all models) -> Riva (for speech recognition and synthesis) ACE (for avatar rendering and animation).

E. CUDA (For running deep learning workloads)-> Riva (for speech recognition and synthesis) -> ACE (for avatar rendering and animation).

Correct Answer: C

The most complete solution involves speech recognition and synthesis (Riva), natural language understanding and response generation (NeMo), efficient model deployment (Triton), and avatar rendering/animation (ACE). Option A is missing the NLU/response generation component. Option B doesn't directly address speech recognition. Option D puts Triton in the wrong order. Option E is too low level and doesn't leverage the higher-level SDKs effectively. The Correct sequence ensures the speech is converted to text, understands the intent, creates an appropriate response using a trained Model/architecture and finally shows the response through an Avatar.

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