PDF Only
$80.00 Free Updates Upto 90 Days
- Databricks-Generative-AI-Engineer-Associate Dumps PDF
- 45 Questions
- Updated On October 10, 2024
PDF + Test Engine
$160.00 Free Updates Upto 90 Days
- Databricks-Generative-AI-Engineer-Associate Question Answers
- 45 Questions
- Updated On October 10, 2024
Test Engine
$120.00 Free Updates Upto 90 Days
- Databricks-Generative-AI-Engineer-Associate Practice Questions
- 45 Questions
- Updated On October 10, 2024
How to pass Databricks Databricks-Generative-AI-Engineer-Associate exam with the help of dumps?
DumpsPool provides you the finest quality resources you’ve been looking for to no avail. So, it's due time you stop stressing and get ready for the exam. Our Online Test Engine provides you with the guidance you need to pass the certification exam. We guarantee top-grade results because we know we’ve covered each topic in a precise and understandable manner. Our expert team prepared the latest Databricks Databricks-Generative-AI-Engineer-Associate Dumps to satisfy your need for training. Plus, they are in two different formats: Dumps PDF and Online Test Engine.
How Do I Know Databricks Databricks-Generative-AI-Engineer-Associate Dumps are Worth it?
Did we mention our latest Databricks-Generative-AI-Engineer-Associate Dumps PDF is also available as Online Test Engine? And that’s just the point where things start to take root. Of all the amazing features you are offered here at DumpsPool, the money-back guarantee has to be the best one. Now that you know you don’t have to worry about the payments. Let us explore all other reasons you would want to buy from us. Other than affordable Real Exam Dumps, you are offered three-month free updates.
You can easily scroll through our large catalog of certification exams. And, pick any exam to start your training. That’s right, DumpsPool isn’t limited to just Databricks Exams. We trust our customers need the support of an authentic and reliable resource. So, we made sure there is never any outdated content in our study resources. Our expert team makes sure everything is up to the mark by keeping an eye on every single update. Our main concern and focus are that you understand the real exam format. So, you can pass the exam in an easier way!
IT Students Are Using our Databricks Certified Generative AI Engineer Associate Dumps Worldwide!
It is a well-established fact that certification exams can’t be conquered without some help from experts. The point of using Databricks Certified Generative AI Engineer Associate Practice Question Answers is exactly that. You are constantly surrounded by IT experts who’ve been through you are about to and know better. The 24/7 customer service of DumpsPool ensures you are in touch with these experts whenever needed. Our 100% success rate and validity around the world, make us the most trusted resource candidates use. The updated Dumps PDF helps you pass the exam on the first attempt. And, with the money-back guarantee, you feel safe buying from us. You can claim your return on not passing the exam.
How to Get Databricks-Generative-AI-Engineer-Associate Real Exam Dumps?
Getting access to the real exam dumps is as easy as pressing a button, literally! There are various resources available online, but the majority of them sell scams or copied content. So, if you are going to attempt the Databricks-Generative-AI-Engineer-Associate exam, you need to be sure you are buying the right kind of Dumps. All the Dumps PDF available on DumpsPool are as unique and the latest as they can be. Plus, our Practice Question Answers are tested and approved by professionals. Making it the top authentic resource available on the internet. Our expert has made sure the Online Test Engine is free from outdated & fake content, repeated questions, and false plus indefinite information, etc. We make every penny count, and you leave our platform fully satisfied!
Frequently Asked Questions
Question # 1
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. Thematch 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?
A. 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.
B. 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.
C. 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.
D. 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 # 2
A Generative AI Engineer is building an LLM to generate article summaries in the form of a type of poem, such as a haiku, given the article content. However, the initial output from the LLM does not match the desired tone or style.Which approach will NOT improve the LLM’s response to achieve the desired response?
A. Provide the LLM with a prompt that explicitly instructs it to generate text in the desired tone and style
B. Use a neutralizer to normalize the tone and style of the underlying documents
C. Include few-shot examples in the prompt to the LLM
D. Fine-tune the LLM on a dataset of desired tone and style
Question # 3
A Generative AI Engineer is developing a patient-facing healthcare-focused chatbot. If the patient’s question is not a medical emergency, the chatbot should solicit more information from the patient to pass to the doctor’s office and suggest a few relevant pre-approved medical articles for reading. If the patient’s question is urgent, direct the patient to calling their local emergency services.Given the following user input:“I have been experiencing severe headaches and dizziness for the past two days.”Which response is most appropriate for the chatbot to generate?
A. Here are a few relevant articles for your browsing. Let me know if you have questions after reading them.
B. Please call your local emergency services.
C. Headaches can be tough. Hope you feel better soon!
D. Please provide your age, recent activities, and any other symptoms you have noticed along with your headaches and dizziness.
Question # 4
Which indicator should be considered to evaluate the safety of the LLM outputs when qualitatively assessing LLM responses for a translation use case?
A. The ability to generate responses in code
B. The similarity to the previous language
C. The latency of the response and the length of text generated
D. The accuracy and relevance of the responses
Question # 5
A Generative Al Engineer is building a system which will answer questions on latest stock news articles.Which will NOT help with ensuring the outputs are relevant to financial news?
A. Implement a comprehensive guardrail framework that includes policies for content filters tailored to the finance sector.
B. Increase the compute to improve processing speed of questions to allow greater relevancy analysisC Implement a profanity filter to screen out offensive language
C. Incorporate manual reviews to correct any problematic outputs prior to sending to the users
Question # 6
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?
A. DatabrickslQ
B. Foundation Model APIs
C. Feature Serving
D. AutoML
Question # 7
A Generative AI Engineer is creating an agent-based LLM system for their favorite monster truck team. The system can answer text based questions about the monster truck team, lookup event dates via an API call, or query tables on the team’s latest standings.How could the Generative AI Engineer best design these capabilities into their system?
A. Ingest PDF documents about the monster truck team into a vector store and query it in a RAG architecture.
B. Write a system prompt for the agent listing available tools and bundle it into an agent system that runs a number of calls to solve a query.
C. Instruct the LLM to respond with “RAG”, “API”, or “TABLE” depending on the query, then use text parsing and conditional statements to resolve the query.
D. Build a system prompt with all possible event dates and table information in the system prompt. Use a RAG architecture to lookup generic text questions and otherwise leverage the information in the system prompt.
Question # 8
A Generative Al Engineer is tasked with developing a RAG application that will help a small internal group of experts at their company answer specific questions, augmented by an internal knowledge base. They want the best possible quality in the answers, and neither latency nor throughput is a huge concern given that the user group is small and they’re willing to wait for the best answer. The topics are sensitive in nature and the data is highly confidential and so, due to regulatory requirements, none of the information is allowed to be transmitted to third parties.Which model meets all the Generative Al Engineer’s needs in this situation?
A. Dolly 1.5B
B. OpenAI GPT-4
C. BGE-large
D. Llama2-70B
Question # 9
A Generative AI Engineer is building a RAG application that will rely on context retrieved from source documents that are currently in PDF format. These PDFs can contain both text and images. They want to develop a solution using the least amount of lines of code.Which Python package should be used to extract the text from the source documents?
A. flask
B. beautifulsoup
C. unstructured
D. numpy
Leave a comment
Your email address will not be published. Required fields are marked *