GCP Professional Cloud Architect Practice Question

Your team must deliver Terraform configuration for a new payments microservice that will run in a regional GKE cluster fronted by an internal HTTP(S) load balancer and backed by regional Cloud SQL. You want to avoid writing the Terraform files from scratch and need the code quickly for a DevOps review. Which approach using Gemini Cloud Assist will meet this requirement while staying within the tool's current capabilities?

Start Cloud Shell, instruct Gemini Cloud Assist to run "terraform init," which will automatically create the cluster, load balancer, and database and save the state file for review.
Write a prompt in BigQuery Generative AI Studio asking it to turn the microservice specification into both an architecture diagram and downloadable implementation code.
Use Application Design Center to auto-generate a visual architecture diagram and export it directly as complete Terraform files.
Open Application Design Center in the Cloud Console, describe the desired GKE, load balancer, and Cloud SQL setup in natural language, and copy the Terraform code that Gemini Cloud Assist generates for the DevOps team.

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Answer Description

Entering a concise natural-language description of the desired Google Cloud architecture in Gemini Cloud Assist's Application Design Center prompts the service to generate an implementation template, including Terraform snippets that follow Google-recommended patterns. Although ADC does not yet auto-create architecture diagrams or provide a one-click Terraform export, you can copy the generated Terraform code for inclusion in your version-control repository. The other options rely on unsupported behaviors: Cloud Shell's "terraform init" will not author new configurations, BigQuery Generative AI Studio cannot create infrastructure diagrams or Terraform, and the Diagnose & fix panel focuses on existing resources rather than generating new IaC templates.

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