最新的Databricks Databricks-Generative-AI-Engineer-Associate免費考試真題

問題1

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?

A. MPT-30B-lnstruct

B. whisper-large-v3 (1.6B)

C. DBRX

D. L!ama-2-70b-chat-hf

正確答案: B

說明：（僅 Fast2test 成員可見）

問題2

Which TWO chain components are required for building a basic LLM-enabled chat application that includes conversational capabilities, knowledge retrieval, and contextual memory?

A. Chat loaders

B. Conversation Buffer Memory

C. (Q)

D. Vector Stores

E. External tools

F. React Components

正確答案: B,D

說明：（僅 Fast2test 成員可見）

問題3

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 analysis C Implement a profanity filter to screen out offensive language

C. Incorporate manual reviews to correct any problematic outputs prior to sending to the users

正確答案: B

說明：（僅 Fast2test 成員可見）

問題4

A small and cost-conscious startup in the cancer research field wants to build a RAG application using Foundation Model APIs.
Which strategy would allow the startup to build a good-quality RAG application while being cost-conscious and able to cater to customer needs?

A. Use the largest LLM possible because that gives the best performance for any general queries

B. Limit the number of queries a customer can send per day

C. Limit the number of relevant documents available for the RAG application to retrieve from

D. Pick a smaller LLM that is domain-specific

正確答案: D

說明：（僅 Fast2test 成員可見）

問題5

A Generative Al Engineer would like an LLM to generate formatted JSON from emails. This will require parsing and extracting the following information: order ID, date, and sender email. Here's a sample email:

They will need to write a prompt that will extract the relevant information in JSON format with the highest level of output accuracy.
Which prompt will do that?

A. You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in JSON format.
Here's an example: {"date": "April 16, 2024", "sender_email": "[email protected]", "order_id": "RE987D"}

B. You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in a human-readable format.

C. You will receive customer emails and need to extract date, sender email, and order ID. You should return the date, sender email, and order ID information in JSON format.

D. You will receive customer emails and need to extract date, sender email, and order ID. Return the extracted information in JSON format.

正確答案: A

說明：（僅 Fast2test 成員可見）

問題6

A Generative Al Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI.
The source documents may contain a significant amount of irrelevant content, such as advertisements, sports news, or entertainment news, or content about other companies.
Which approach is advisable when building a RAG application to achieve this goal of filtering irrelevant information?

A. Include in the system prompt that the application is not supposed to answer any questions unrelated to SnoPen Al.

B. Consolidate all SnoPen AI related documents into a single chunk in the vector database.

C. Include in the system prompt that any information it sees will be about SnoPenAI, even if no data filtering is performed.

D. Keep all articles because the RAG application needs to understand non-company content to avoid answering questions about them.

正確答案: A

說明：（僅 Fast2test 成員可見）

問題7

A 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. Add some LLM calls to their chain to detect unsafe content before returning text

B. Ask users to report unsafe responses

C. Host Llama Guard on Foundation Model API and use it to detect unsafe responses

D. Add a regex expression on inputs and outputs to detect unsafe responses.

正確答案: C

說明：（僅 Fast2test 成員可見）

問題8

A Generative AI Engineer is developing an LLM application that users can use to generate personalized birthday poems based on their names.
Which technique would be most effective in safeguarding the application, given the potential for malicious user inputs?

A. Reduce the time that the users can interact with the LLM

B. Increase the amount of compute that powers the LLM to process input faster

C. Implement a safety filter that detects any harmful inputs and ask the LLM to respond that it is unable to assist

D. Ask the LLM to remind the user that the input is malicious but continue the conversation with the user

正確答案: C

說明：（僅 Fast2test 成員可見）

最新的Databricks Certified Generative AI Engineer Associate - Databricks-Generative-AI-Engineer-Associate免費考試真題

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