2.5 Configuring Prebuilt Solutions or APIs with Agent Platform PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 7)

Questions 31–34

1. 31foundation · easy

   What is a primary function of NotebookLM in an organizational workflow?

   • ATo monitor cloud resource usage
   • BTo manage user access permissions
   • CTo deploy machine learning models to production
   • DTo help users quickly find and synthesize information from their documents
   Reveal Solution Discussion Select an answer first
2. 32application · medium

   A logistics company uses a ticketing system where customer service agents manually copy shipment tracking numbers from emails into a separate tracking website to check delivery status. They want to automate this repetitive task using Gemini Enterprise's AI Agents. What is the most appropriate way to integrate an AI Agent into this workflow?

   • AUse the AI Agent to generate a weekly report of all tracking numbers and email it to the agents for manual lookup.
   • BHave the AI Agent create a new ticket for each email, but leave the tracking lookup for a human.
   • CAsk the AI Agent to draft a response to the customer asking them to check the tracking website themselves.
   • DConfigure the AI Agent to monitor the email inbox, extract tracking numbers, call the tracking website's API, and post the status back to the ticket.
   Reveal Solution Discussion Select an answer first
4. 33application · easy

   A data science team is exploring options for a new project that requires a large language model for text generation. They want to compare different models and their capabilities before committing to one. They also need to be able to test the models with their own prompts. What is the most efficient way to do this?

   • AUse the Vision API to generate text from images.
   • BBuild a custom model from scratch using Vertex AI.
   • CUse Model Garden to browse, compare, and test available models directly in the console.
   • DSearch the internet for open-source models and download them all for local testing.
   Reveal Solution Discussion Select an answer first
5. 34application · medium

   A healthcare startup needs to build a feature that classifies medical text notes into predefined categories (e.g., diagnosis, prescription, follow-up). They have a small labeled dataset and need a model that can be fine-tuned on their specific data. They are browsing Model Garden. Which type of model should they select?

   • AA pre-trained speech recognition model.
   • BA pre-trained foundation model that supports fine-tuning on custom text classification tasks.
   • CA pre-trained image classification model.
   • DA pre-trained video action recognition model.
   Reveal Solution Discussion Select an answer first