Databricks Certified Generative AI Engineer Associate
Last Update Jul 2, 2025
Total Questions : 61
To help you prepare for the Databricks-Generative-AI-Engineer-Associate Databricks exam, we are offering free Databricks-Generative-AI-Engineer-Associate Databricks exam questions. All you need to do is sign up, provide your details, and prepare with the free Databricks-Generative-AI-Engineer-Associate practice questions. Once you have done that, you will have access to the entire pool of Databricks Certified Generative AI Engineer Associate Databricks-Generative-AI-Engineer-Associate test questions which will help you better prepare for the exam. Additionally, you can also find a range of Databricks Certified Generative AI Engineer Associate resources online to help you better understand the topics covered on the exam, such as Databricks Certified Generative AI Engineer Associate Databricks-Generative-AI-Engineer-Associate video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Databricks Databricks-Generative-AI-Engineer-Associate exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.
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 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?
When developing an LLM application, it’s crucial to ensure that the data used for training the model complies with licensing requirements to avoid legal risks.
Which action is NOT appropriate to avoid legal risks?
A Generative Al Engineer is tasked with developing an application that is based on an open source large language model (LLM). They need a foundation LLM with a large context window.
Which model fits this need?
TESTED 03 Jul 2025
