Databricks Databricks-Generative-AI-Engineer-Associate Exam Passed First Try

Question - (Multiple Choices)

A Generative Al Engineer has created a RAG application to look up answers to questions about a series of fantasy novels that are being asked on the author’s web forum. The fantasy novel texts are chunked and embedded into a vector store with metadata (page number, chapter number, book title), retrieved with the user’s query, and provided to an LLM for response generation. The Generative AI Engineer used their intuition to pick the chunking strategy and associated configurations but now wants to more methodically choose the best values. Which TWO strategies should the Generative AI Engineer take to optimize their chunking strategy and parameters? (Choose two.)

Choose the Choices:

Change embedding models and compare performance.

Add a classifier for user queries that predicts which book will best contain the answer. Use this to filter retrieval.

Choose an appropriate evaluation metric (such as recall or NDCG) and experiment with changes in the chunking strategy, such as splitting chunks by paragraphs or chapters. Choose the strategy that gives the best performance metric.

Pass known questions and best answers to an LLM and instruct the LLM to provide the best token count. Use a summary statistic (mean, median, etc.) of the best token counts to choose chunk size.

Create an LLM - as - a - judge metric to evaluate how well previous questions are answered by the most appropriate chunk. Optimize the chunking parameters based upon the values of the metric.

Question - (Single Choise)

A Generative AI Engineer is designing a RAG application for answering user questions on technical regulations as they learn a new sport. What are the steps needed to build this RAG application and deploy it?

Choose the Choices:

Ingest documents from a source – > Index the documents and saves to Vector Search – > User submits queries against an LLM – > LLM retrieves relevant documents – > Evaluate model – > LLM generates a response – > Deploy it using Model Serving

Ingest documents from a source – > Index the documents and save to Vector Search – > User submits queries against an LLM – > LLM retrieves relevant documents – > LLM generates a response - > Evaluate model – > Deploy it using Model Serving

Ingest documents from a source – > Index the documents and save to Vector Search – > Evaluate model – > Deploy it using Model Serving

User submits queries against an LLM – > Ingest documents from a source – > Index the documents and save to Vector Search – > LLM retrieves relevant documents – > LLM generates a response – > Evaluate model – > Deploy it using Model Serving

Question - (Single Choise)

A Generative AI Engineer just deployed an LLM application at a digital marketing company that assists with answering customer service inquiries. Which metric should they monitor for their customer service LLM application in production?

Choose the Choices:

Question - (Single Choise)

A Generative AI Engineer is building a Generative AI system that suggests the best matched employee team member to newly scoped projects. The team member is selected from a very large team. The match should be based upon project date availability and how well their employee profile matches the project scope. Both the employee profile and project scope are unstructured text. How should the Generative Al Engineer architect their system?

Choose the Choices:

Create a tool for finding available team members given project dates. Embed all project scopes into a vector store, perform a retrieval using team member profiles to find the best team member.

Create a tool for finding team member availability given project dates, and another tool that uses an LLM to extract keywords from project scopes. Iterate through available team members’ profiles and perform keyword matching to find the best available team member.

Create a tool to find available team members given project dates. Create a second tool that can calculate a similarity score for a combination of team member profile and the project scope. Iterate through the team members and rank by best score to select a team member.

Create a tool for finding available team members given project dates. Embed team profiles into a vector store and use the project scope and filtering to perform retrieval to find the available best matched team members.

Question - (Single Choise)

A Generative AI Engineer is designing an LLM - powered live sports commentary platform. The platform provides real - time updates and LLM - generated analyses for any users who would like to have live summaries, rather than reading a series of potentially outdated news articles. Which tool below will give the platform access to real - time data for generating game analyses based on the latest game scores?

Choose the Choices:

Salesforce	IBM	Cisco	SAP
Marketing Cloud Email Specialist Updated Jul,01 2026 See Details	PDII Updated Jun,30 2026 See Details	Marketing Cloud Consultant Updated Jun,29 2026 See Details	Advanced Administrator Updated Jul,02 2026 See Details
Salesforce Certified Administrator Updated Jun,30 2026 See Details	Certified B2C Commerce Cloud Developer (Comm-Dev-101) Updated Jul,05 2026 See Details	Nonprofit Cloud Consultant Updated Jul,04 2026 See Details	Education Cloud Consultant Updated Jul,03 2026 See Details
CPQ Specialist Updated Jun,29 2026 See Details	Marketing Cloud Developer Updated Jul,01 2026 See Details	Pardot-Specialist Updated Jun,29 2026 See Details	Marketing Cloud Administrator Updated Jul,01 2026 See Details
C1000-010 Updated Jul,05 2026 See Details	C1000-074 Updated Jun,30 2026 See Details	C1000-065 Updated Jul,01 2026 See Details	C1000-085 Updated Jul,04 2026 See Details
C1000-088 Updated Jun,30 2026 See Details	S1000-002 Updated Jul,02 2026 See Details	C1000-123 Updated Jul,01 2026 See Details	C1000-130 Updated Jul,02 2026 See Details
C1000-150 Updated Jul,04 2026 See Details	C1000-147 Updated Jun,30 2026 See Details	C1000-142 Updated Jul,05 2026 See Details	C1000-132 Updated Jul,05 2026 See Details
500-052 Updated Jul,03 2026 See Details	500-710 Updated Jul,05 2026 See Details	500-470 Updated Jul,02 2026 See Details	500-490 Updated Jul,01 2026 See Details
700-150 Updated Jul,02 2026 See Details	200-901 Updated Jul,05 2026 See Details	300-435 Updated Jul,04 2026 See Details	300-635 Updated Jul,03 2026 See Details
500-560 Updated Jun,30 2026 See Details	500-210 Updated Jun,29 2026 See Details	700-905 Updated Jul,04 2026 See Details	820-605 Updated Jun,29 2026 See Details
C_MDG_1909 Updated Jul,01 2026 See Details	C_S4EWM_1909 Updated Jul,05 2026 See Details	C_TS410_1909 Updated Jul,02 2026 See Details	C_TS4CO_2020 Updated Jul,01 2026 See Details
C_TS4FI_2020 Updated Jul,04 2026 See Details	C_S4FTR_2020 Updated Jul,04 2026 See Details	C_S4FCF_2020 Updated Jun,29 2026 See Details	C_TFG50_2011 Updated Jun,29 2026 See Details
C_TS410_2020 Updated Jul,02 2026 See Details	C_TS462_2020 Updated Jun,30 2026 See Details	C_TS422_2020 Updated Jul,03 2026 See Details	C_S4TM_2020 Updated Jul,03 2026 See Details

Salesforce

IBM

Cisco

SAP

Marketing Cloud Email Specialist

Updated Jul,01 2026

See Details

PDII

Updated Jun,30 2026

See Details

Marketing Cloud Consultant

Updated Jun,29 2026

See Details

Advanced Administrator

Updated Jul,02 2026

See Details

Salesforce Certified Administrator

Updated Jun,30 2026

See Details

Certified B2C Commerce Cloud Developer (Comm-Dev-101)

Updated Jul,05 2026

See Details

Nonprofit Cloud Consultant

Updated Jul,04 2026

See Details

Education Cloud Consultant

Updated Jul,03 2026

See Details

CPQ Specialist

Updated Jun,29 2026

See Details

Marketing Cloud Developer

Updated Jul,01 2026

See Details

Pardot-Specialist

Updated Jun,29 2026

See Details

Marketing Cloud Administrator

Updated Jul,01 2026

See Details

Databricks (Databricks-Generative-AI-Engineer-Associate) Exam Questions PDF

Databricks (Databricks-Generative-AI-Engineer-Associate) Value Pack
(Frequently Bought Together)

Databricks (Databricks-Generative-AI-Engineer-Associate) Exam Practice Software

Databricks Databricks-Generative-AI-Engineer-Associate Exam Questions

A Generative AI Engineer is designing a RAG application for answering user questions on technical regulations as they learn a new sport. What are the steps needed to build this RAG application and deploy it?

A Generative AI Engineer just deployed an LLM application at a digital marketing company that assists with answering customer service inquiries. Which metric should they monitor for their customer service LLM application in production?

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Databricks-Generative-AI-Engineer-Associate EXAM QUESTIONS

Databricks Certified Generative AI Engineer Associate

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The Numbers Say it AllWhy Choose Us

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Databricks (Databricks-Generative-AI-Engineer-Associate) Exam Questions PDF

Updated PDF Questions & Answers Demo

Databricks (Databricks-Generative-AI-Engineer-Associate) Value Pack(Frequently Bought Together)

Databricks (Databricks-Generative-AI-Engineer-Associate) Exam Practice Software

Databricks Databricks-Generative-AI-Engineer-Associate Exam Questions

A Generative AI Engineer is designing a RAG application for answering user questions on technical regulations as they learn a new sport. What are the steps needed to build this RAG application and deploy it?

A Generative AI Engineer just deployed an LLM application at a digital marketing company that assists with answering customer service inquiries. Which metric should they monitor for their customer service LLM application in production?

UNLOCK FULL FEATURED

Databricks-Generative-AI-Engineer-Associate EXAM QUESTIONS

Databricks Certified Generative AI Engineer Associate

Practice Test Questions & Answers Demo

What Clients Say About Us

The Numbers Say it AllWhy Choose Us

Hot Exams

Databricks (Databricks-Generative-AI-Engineer-Associate) Value Pack
(Frequently Bought Together)