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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q10-Q15):

NEW QUESTION # 10
Your product team is building a critical, customer-facing application on Google Cloud. The development team wants to use Spanner for their database to take advantage of its horizontal scalability and low operational overhead However, the FinOps team is concerned about the direct monthly cost of Spanner and proposed using a self-managed PostgreSQL database on Compute Engine VMs instead. You need to resolve this conflict and ensure the project moves forward with an architecturally sound database choice that balances technical requirements with financial constraints. What should you do?

A. Cite the reliability and performance optimization pillars of the Google Cloud Well-Architected Framework to formally justify the use of Spanner.
B. Suggest using Cloud SQL for PostgreSQL as a compromise to get a managed service at a lower cost than Spanner.
C. Provide the development team with a reference architecture for deploying a highly available PostgreSQL cluster on a regional managed instance group (MIG).
D. Develop a total cost of ownership (TCO) analysis that includes operational overhead, and present it in a workshop to facilitate a decision.

Answer: D

Explanation:
This is a stakeholder and trade-off decision, not just a pure tech choice. The Google- recommended approach is to perform a total cost of ownership (TCO) analysis that includes not only direct service costs, but also operational overhead, maintenance, reliability engineering, and scaling complexity of a self-managed PostgreSQL on Compute Engine vs. managed options like Spanner. Presenting this TCO in a workshop with development and FinOps enables a data- driven, shared decision that balances technical requirements (scalability, reliability) with financial constraints, ensuring an architecturally sound and agreed-upon database choice.

NEW QUESTION # 11
Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?

A. Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to the bucket.
B. Use cloud functions to transfer log entries to Google Cloud SQL and use ACLS and views to limit an auditor's view.
C. Create custom Google Stackdriver alerts and send them to the auditor.
D. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.

Answer: D

NEW QUESTION # 12
You have an application deployed on Kubernetes Engine using a Deployment named echo- deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application.
What should you do?

A. Update the deployment yaml file with the new container image.
Use kubectl delete deployment/echo-deployment and kubectl create -f <yaml-file>
B. Update the service yaml file which the new container image.
Use kubectl delete service/ echo-service and kubectl create -f <yaml-file>
C. Use kubectl set image deployment/echo-deployment <new-image>
D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Answer: C

Explanation:
Deployment ensures that only a certain number of Pods are down while they are being updated.
By default, it ensures that at least 75% of the desired number of Pods are up (25% max unavailable).
Deployment also ensures that only a certain number of Pods are created above the desired number of Pods. By default, it ensures that at most 125% of the desired number of Pods are up (25% max surge).
https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#updating-a-deployment

NEW QUESTION # 13
You have an application deployed on Google Kubernetes Engine using a Deployment named echo- deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

A. Update the service yaml file which the new container image. Use kubectl delete service/echo- service and kubectl create -f <yaml-file>
B. Use kubectl set image deployment/echo-deployment <new-image>
C. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Answer: B

NEW QUESTION # 14
Case Study: 8 - Mountkirk Games, C
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project.
There are also separate environments for development and testing.
Business requirements
- Support multiple gaming platforms.
- Support multiple regions.
- Support rapid iteration of game features.
- Minimize latency.
- Optimize for dynamic scaling.
- Use managed services and pooled resources.
- Minimize costs.
Technical requirements
- Dynamically scale based on game activity.
- Publish scoring data on a near real-time global leaderboard.
- Store game activity logs in structured files for future analysis.
- Use GPU processing to render graphics server-side for multi-platform support.
- Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before.
This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?

A. Configure IAM conditions to limit what resources can be configured.
B. Configure an organizational policy which constrains where resources can be deployed.
C. Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other regions.
D. Configure the quotas for resources in the regions not being used to 0.

Answer: B

Explanation:
You can limit the physical location of a new resource with the Organization Policy Service resource locations constraint. You can use the location property of a resource to identify where it is deployed and maintained by the service. For data-containing resources of some Google Cloud services, this property also reflects the location where data is stored. This constraint allows you to define the allowed Google Cloud locations where the resources for supported services in your hierarchy can be created.After you define resource locations, this limitation will apply only to newly-created resources. Resources you created before setting the resource locations constraint will continue to exist and perform their function.
https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations

NEW QUESTION # 15
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