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Architecting low-code AI solutions Questions

Practice questions for Architecting low-code AI solutions topic in Google Professional Machine Learning Engineer. 27 questions covering this domain.

27 questions9 easy13 medium5 hard
Q1
easy

A team wants a single Vertex AI location to discover, test, customize, and deploy models from Google and partners. Which service should they use?

Q2
easy

In Model Garden, which model category contains pretrained multitask large models that can be tuned or customized for specific tasks?

Q3
hard

A company has already built an agent with ADK and now needs a managed runtime that can deploy, manage, and scale that agent in production. Which Verte...

Q4
medium

A product team wants a low-code visual tool to design and test an agent before handing the work to developers who will continue in code with the Agent...

Q5
medium

A team is comparing prompt revisions for a generative AI application and wants the recommended evaluation method that creates pass or fail tests tailo...

Q6
hard

An enterprise wants to allow only a vetted subset of Model Garden models across its organization and block access to everything else. Which control is...

Q7
medium

A compliance-sensitive chatbot must reduce hallucinations by tying answers to verifiable sources. Which Vertex AI capability directly addresses that r...

Q8
medium

A product manager wants to evaluate a generative AI prompt against multiple criteria using model-graded judges before deciding on a production prompt....

Q9
easy

Which Vertex AI service provides a managed search engine for building generative AI search and recommendation experiences over enterprise data?

Q10
medium

A team wants to build a chatbot that answers questions strictly based on a corpus of internal PDF documents while citing sources. Which approach is th...

Q11
easy

Which Vertex AI capability lets you tune a foundation model's behavior on your own labeled examples without writing custom training code?

Q12
hard

A team building a generative AI agent needs the agent to call internal HTTP APIs (such as inventory and pricing) as part of a conversation. Which Vert...

Q13
medium

A team needs to predict customer churn from a structured BigQuery table with limited ML expertise on the team. Which low-code option is most appropria...

Q14
easy

Which prompting pattern provides the model with several input-output examples inside the prompt to improve task performance without changing model wei...

Q15
hard

An agent in Vertex AI Agent Builder needs to retrieve live website content and internal BigQuery data to ground its responses. Which two data store ty...

Q16
easy

Which Vertex AI tool provides an interactive UI for designing, testing, and iterating on prompts for generative AI models without writing code?

Q17
medium

A company needs to detect objects in images and draw bounding boxes around them without writing custom training code. Which AutoML capability supports...

Q18
medium

Which Vertex AI AutoML capability is most appropriate for classifying text documents into multiple categories without writing custom model code?

Q19
medium

A team wants to reduce the cost and latency of a Gemini API application that repeatedly sends the same large system prompt and document context with e...

Q20
medium

A generative AI application uses a Gemini model and the team wants to add low-latency image understanding to the same model invocation. Which Model Ga...

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