Professional-Cloud-Architect Exam Dumps | You are deploying a critical application with a stateless, containerized (rented on Cloud Run and a Cloud

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Question 132/150

You are deploying a critical application with a stateless, containerized (rented on Cloud Run and a Cloud SQL tor PostgreSQL backend The application experiences unpredictable traffic spikes, and the business requires the ability to immediately roll back a failed deployment to the last known good state You need to apply a deployment strategy that aligns with Site Reliability Engineering (SRE) principles for both the application code and the database schema updates, while meeting the business ' s requirements What should you do?

A. Configure the CI/CD pipeline to use the: latest Last container tag for deployments, with database schema changes applied manually as needed.

B. Use a single CI/CD pipeline that first applies database schema changes and then deploys the new Cloud Run revision

C. Separate CI/CD pipelines for database schema migrations from application deployments When deploying a new Cloud Run revision, use gradual traffic split.

D. Package the database schema migration script within the container to be executed on every container startup before the application process begins.

Correct Answer: C

In SRE (Site Reliability Engineering), the goal is to decouple components to reduce the " blast radius " of changes.
* Separation of Concerns: Database schema migrations and application code should have separate pipelines (Option C). If a schema update is backward-compatible (a requirement for zero-downtime), the app can be rolled back independently.
* Traffic Management: Cloud Run supports gradual traffic splitting , allowing you to send 5% of traffic to a new revision. If errors spike, you can immediately shift 100% of traffic back to the old revision.
* Why not D? Running migrations on container startup is a common " anti-pattern " in large-scale systems because if 100 containers start at once, they might all try to modify the schema simultaneously, leading to lock contention or database corruption.

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