Architecting low-code AI solutions
Practise only this domain. 46 questions with explanations, 20 at a time.
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- A regional bank wants a chat assistant that answers account and product questions. It should follow the bank's policy wording and draw on its published help articles. The team wants to configure this through a console and plain-language guidance, not by writing an intent classifier. Which Google Cloud offering is most appropriate?Medium
- A copywriting group wants to compare several large language models side by side and iterate on prompt wording before choosing one for its product catalog text. Which Google Cloud environment supports that work?Medium
- A retailer wants shoppers to photograph an item and be shown matching SKUs from a 50,000-item catalog using the Vision API's product search feature. Which option lists the setup steps in the correct order?Hard
- A product manager wants to send one prompt to several foundation models in a browser, read the responses side by side, and then choose a model to build on. Which Vertex AI surface is intended for this?Medium
- A copywriting group wants to compare candidate text models from Google, open-source communities, and third-party vendors on the same prompts before choosing one. Which catalog in Vertex AI serves that purpose?Easy
- A media company needs subtitles in 40 languages. Most target languages are common, but one regional language has little public training text and its output quality is poor. What is the most economical plan?Medium
- A telecom wants a chatbot built on a hosted Gemini model to discuss only its plans and devices, and to decline everything else courteously. Which configuration is the most practical?Medium
- A help-desk app receives messages in several languages and sends each one to a language-specific classifier. Before routing, the app needs the language code for each message. Which Google Cloud capability returns that?Easy