[2026] Databricks Certified Generative AI Engineer Associate - Databricks-Generative-AI-Engineer-Associate 무료 시험 문제

문제1

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LLM-generated analyses for any users who would like to have live summaries, rather than reading a series of potentially outdated news articles.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. Feature Serving

B. DatabrickslQ

C. AutoML

D. Foundation Model APIs

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제2

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 the most recent and most performant open LLM released at the time

B. pick the embedding model ranked highest on the Massive Text Embedding Benchmark (MTEB) leaderboard hosted by HuggingFace

C. Pick an embedding model with multilingual support to support potential multilingual user questions

D. Pick an embedding model trained on related domain knowledge

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제3

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 inputs

B. Compare the Levenshtein distances of returned results against a representative sample of test inputs

C. Compare the Recall-Onented-Understudy for Gistmg Evaluation (ROUGE) scores of returned results for a representative sample of test inputs

D. Compare the Bilingual Evaluation Understudy (BLEU) scores of returned results for a representative sample of test inputs

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제4

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. Increase the compute to improve processing speed of questions to allow greater relevancy analysis C Implement a profanity filter to screen out offensive language

B. Implement a comprehensive guardrail framework that includes policies for content filters tailored to the finance sector.

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

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제5

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. numpy

B. flask

C. unstructured

D. beautifulsoup

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제6

A Generative AI Engineer developed an LLM application using the provisioned throughput Foundation Model API. Now that the application is ready to be deployed, they realize their volume of requests are not sufficiently high enough to create their own provisioned throughput endpoint. They want to choose a strategy that ensures the best cost-effectiveness for their application.
What strategy should the Generative AI Engineer use?

A. Switch to using External Models instead

B. Change to a model with a fewer number of parameters in order to reduce hardware constraint issues

C. Throttle the incoming batch of requests manually to avoid rate limiting issues

D. Deploy the model using pay-per-token throughput as it comes with cost guarantees

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제7

A team wants to serve a code generation model as an assistant for their software developers. It should support multiple programming languages. Quality is the primary objective.
Which of the Databricks Foundation Model APIs, or models available in the Marketplace, would be the best fit?

A. CodeLlama-34B

B. MPT-7b

C. BGE-large

D. Llama2-70b

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제8

A Generative AI Engineer has been reviewing issues with their company's LLM-based question-answering assistant and has determined that a technique called prompt chaining could help alleviate some performance concerns. However, to suggest this to their team, they have to clearly explain how it works and how it can benefit their question-answering assistant. Which explanation do they communicate to the team?

A. It allows you to break down complex tasks into multiple independent subtasks. This enables the assistant to generate more comprehensive and accurate responses.

B. It allows you to decrease the effort involved in crafting a prompt. Chains make it possible to reuse prompt text across multiple different use cases.

C. It reduces the average cost of a typical request. Chains make more efficient use of the tokens produced to generate higher quality responses with fewer tokens.

D. It allows you to reduce the latency of your applications. By having multiple chains participating in the response as a chain, you increase the rate at which the response is generated.

정답: A

설명: (Fast2test 회원만 볼 수 있음)

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