Google Cloud Professional Cloud Architect Intermediate Practice Exam: Medium Difficulty 2025

A retail company is migrating a 3-tier web application to Google Cloud. They need low-latency access for users in North America and Europe, and they must be able to fail over if a zone becomes unavailable. The database is relational and requires strong consistency. Which architecture best meets these requirements with minimal operational overhead?

A media company processes user-uploaded videos. Uploads land in Cloud Storage, and each object must trigger a transcoding job that can scale rapidly. Jobs should be retried on transient failures, and the system must handle sudden spikes without overprovisioning. Which design is most appropriate?

Your organization uses a shared VPC with multiple projects. A new project needs to deploy internal services that must be reachable only from on-premises networks over Cloud VPN. No public IPs should be used. Which approach best meets these requirements?

A company runs stateless microservices on GKE. They need a repeatable way to deploy the same set of Kubernetes resources to dev, test, and prod with environment-specific parameters. They also want auditable change history and easy rollbacks. What is the best approach?

A healthcare provider must ensure that only a specific service account can decrypt sensitive data stored in Cloud Storage. The data should be encrypted with customer-managed keys, and key access must be auditable. Which solution best meets these requirements?

A company has multiple teams and wants to prevent accidental deletion of critical projects and ensure that resource changes follow least privilege. They also want centralized visibility into who changed what. Which combination of controls best addresses this?

An e-commerce company wants near-real-time dashboards for order events and the ability to run ad-hoc analytics on historical data. Events are generated by microservices and must be durable and replayable. Which architecture best fits?

A SaaS provider is experiencing high latency due to frequent reads of relatively static configuration data stored in a database. They want to reduce database load and improve response time without sacrificing consistency requirements for infrequent updates. What should they do?

A customer-facing API runs on a regional managed instance group behind a global external HTTP(S) load balancer. The business requires the service to remain available during a full regional outage with minimal manual intervention. Which design change best meets this requirement?

A platform team wants to standardize observability for workloads running on GKE and Compute Engine. They need metrics and logs for troubleshooting, plus alerting on SLOs such as high error rate and latency. Which approach best meets these needs?