Google Cloud Architect Professional: Google Cloud Certified - Professional Cloud Architect
Free Practice Exam Questions (page: 5)
Updated On: 2-Jan-2026

View Related Case Study

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency.
What should you do?

  1. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
  2. Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
  3. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
  4. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

Answer(s): C



View Related Case Study

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

  1. Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
  2. Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
  3. Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
  4. Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Answer(s): C



View Related Case Study

For this question, refer to the Mountkirk Games case study.
Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?

  1. Cloud Bigtable
  2. Cloud Spanner
  3. BigQuery
  4. Cloud Datastore

Answer(s): C



View Related Case Study

For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.

You want to follow Google-recommended practices. How should you design the backend?

  1. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
  2. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
  3. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
  4. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.

Answer(s): C



View Related Case Study

For this question, refer to the Mountkirk Games case study. You need to optimize batch file transfers into Cloud Storage for Mountkirk Games' new Google Cloud solution. The batch files contain game statistics that need to be staged in Cloud Storage and be processed by an extract transform load (ETL) tool.
What should you do?

  1. Use gsutil to batch move files in sequence.
  2. Use gsutil to batch copy the files in parallel.
  3. Use gsutil to extract the files as the first part of ETL.
  4. Use gsutil to load the files as the last part of ETL.

Answer(s): B


Reference:

https://cloud.google.com/storage/docs/gsutil/commands/cp



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