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Google Cloud Architect Professional: Google Cloud Certified - Professional Cloud Architect
Free Practice Exam Questions (page: 4)
Updated On: 2-Jan-2026

Page 4 of 61
PDF with 297 Questions
View Related Case Study

Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.

What should you do to isolate development environments from staging and production?

  1. Create a project for development and test and another for staging and production
  2. Create a network for development and test and another for staging and production
  3. Create one subnetwork for development and another for staging and production
  4. Create one project for development, a second for staging and a third for production

Answer(s): D



View Related Case Study

Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements.

Which combination of Google technologies will meet all of their requirements?

  1. Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL
  2. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
  3. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
  4. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
  5. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Answer(s): B

Explanation:

Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services


Reference:

https://cloud.google.com/solutions/big-data/stream-analytics/



View Related Case Study

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

  1. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
  2. Write a schema migration plan to denormalize data for better performance in BigQuery.
  3. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
  4. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
  5. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.

Answer(s): A,B



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For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

  1. Create network load balancers. Use preemptible Compute Engine instances.
  2. Create network load balancers. Use non-preemptible Compute Engine instances.
  3. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
  4. Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.

Answer(s): C



View Related Case Study

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available.
Which two steps should they take? (Choose two.)

  1. Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
  2. Begin packaging their game backend artifacts in container images and running them on Google
  3. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
  4. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
  5. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

Answer(s): C,E



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