Crucial Exams

GCP Professional Cloud Architect Practice Question

Your company uses Google Workspace and an external IT service-management (ITSM) SaaS that offers a REST API. Leadership needs an AI workflow that 1) reads support emails arriving in Gmail, 2) consults policy documents in Drive to decide next steps, 3) creates or updates tickets in the ITSM application, and 4) writes a weekly incident summary with citations in Docs. They insist on as little hand-written integration code as possible and want analysts to inspect and refine the agent's reasoning in a notebook-style interface. With Gemini Enterprise already licensed, which approach will best meet these goals with the least engineering effort?

  • Adopt a third-party generative AI SaaS, export Drive documents to it, and write Cloud Run automation scripts for Gmail and ITSM ticket creation.

  • Build a Vertex AI Search application over Drive documents and orchestrate Gmail, ITSM, and Docs actions with Cloud Workflows, avoiding Gemini Enterprise entirely.

  • Implement the entire flow with Cloud Functions and Pub/Sub, using custom code to parse Gmail, call Gemini models, push to the ITSM API, and generate Docs summaries.

  • Create a Gemini AI Agent that handles Gmail ingestion, Drive-based reasoning, and Docs reporting, and have it trigger a lightweight Cloud Function (via Pub/Sub or webhook) that calls the ITSM REST API; analysts use NotebookLM to review and adjust the agent's logic.

GCP Professional Cloud Architect
Managing and provisioning a solution infrastructure
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