Exam Name: | Databricks Certified Generative AI Engineer Associate | ||
Exam Code: | Databricks-Generative-AI-Engineer-Associate Dumps | ||
Vendor: | Databricks | Certification: | Generative AI Engineer |
Questions: | 61 Q&A's | Shared By: | nuala |
A Generative Al Engineer is building an LLM-based application that has an
important transcription (speech-to-text) task. Speed is essential for the success of the application
Which open Generative Al models should be used?
Which indicator should be considered to evaluate the safety of the LLM outputs when qualitatively assessing LLM responses for a translation use case?
A Generative AI Engineer wants to build an LLM-based solution to help a restaurant improve its online customer experience with bookings by automatically handling common customer inquiries. The goal of the solution is to minimize escalations to human intervention and phone calls while maintaining a personalized interaction. To design the solution, the Generative AI Engineer needs to define the input data to the LLM and the task it should perform.
Which input/output pair will support their goal?
A Generative Al Engineer is creating an LLM-based application. The documents for its retriever have been chunked to a maximum of 512 tokens each. The Generative Al Engineer knows that cost and latency are more important than quality for this application. They have several context length levels to choose from.
Which will fulfill their need?