A Generative Al Engineer is developing a RAG application and would like to experiment with different embedding models to improve the application performance.
Which strategy for picking an embedding model should they choose?
A. Pick an embedding model trained on related domain knowledgeA Generative Al Engineer is helping a cinema extend its website's chat bot to be able to respond to questions about specific showtimes for movies currently playing at their local theater. They already have the location of the user provided by location services to their agent, and a Delta table which is continually updated with the latest showtime information by location. They want to implement this new capability In their RAG application.
Which option will do this with the least effort and in the most performant way?
A. Create a Feature Serving Endpoint from a FeatureSpec that references an online store synced from the Delta table. Query the Feature Serving Endpoint as part of the agent logic / tool implementation.A Generative Al Engineer is deciding between using LSH (Locality Sensitive Hashing) and HNSW (Hierarchical Navigable Small World) for indexing their vector database Their top priority is semantic accuracy.
Which approach should the Generative Al Engineer use to evaluate these two techniques?
A. Compare the cosine similarities of the embeddings of returned results against those of a representative sample of test inputsA Generative Al Engineer is building a production-ready LLM system which replies directly to customers. The solution makes use of the Foundation Model API via provisioned throughput. They are concerned that the LLM could potentially
respond in a toxic or otherwise unsafe way. They also wish to perform this with the least amount of effort.
Which approach will do this?
A. Host Llama Guard on Foundation Model API and use it to detect unsafe responsesA Generative Al Engineer is ready to deploy an LLM application written using Foundation Model APIs. They want to follow security best practices for production scenarios.
Which authentication method should they choose?
A. Use an access token belonging to service principalsA Generative Al Engineer is working with a retail company that wants to enhance its customer experience by automatically handling common customer inquiries. They are working on an LLM-powered Al solution that should improve response times while maintaining a personalized interaction. They want to define the appropriate input and LLM task to do this.
Which input/output pair will do this?
A. Input: Customer reviews; Output Group the reviews by users and aggregate per-user average rating, then respondA Generative Al Engineer has built an LLM-based system that will automatically translate user text between two languages. They now want to benchmark multiple LLM's on this task and pick the best one. They have an evaluation set with known high quality translation examples. They want to evaluate each LLM using the evaluation set with a performant metric.
Which metric should they choose for this evaluation?
A. ROUGE metricA 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?
A. L!ama-2-70b-chat-hfA Generative Al Engineer is setting up a Databricks Vector Search that will lookup news articles by topic within 10 days of the date specified An example query might be "Tell me about monster truck news around January 5th 1992". They
want to do this with the least amount of effort.
How can they set up their Vector Search index to support this use case?
A. Split articles by 10 day blocks and return the block closest to the query.A Generative Al Engineer is using an LLM to classify species of edible mushrooms based on text descriptions of certain features. The model is returning accurate responses in testing and the Generative Al Engineer is confident they have the correct list of possible labels, but the output frequently contains additional reasoning in the answer when the Generative Al Engineer only wants to return the label with no additional text.
Which action should they take to elicit the desired behavior from this LLM?
A. Use few snot prompting to instruct the model on expected output formatNowadays, the certification exams become more and more important and required by more and more enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare for the exam in a short time with less efforts? How to get a ideal result and how to find the most reliable resources? Here on Vcedump.com, you will find all the answers. Vcedump.com provide not only Databricks exam questions, answers and explanations but also complete assistance on your exam preparation and certification application. If you are confused on your DATABRICKS-CERTIFIED-GENERATIVE-AI-ENGINEER-ASSOCIATE exam preparations and Databricks certification application, do not hesitate to visit our Vcedump.com to find your solutions here.