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| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-Developer |
| Exam Name: | Professional Cloud Developer |
| Exam Questions: | 265 |
| Last Updated: | March 26, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: |
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You have an ecommerce application hosted in Google Kubernetes Engine (GKE) that receives external requests and forwards them to third-party APIs external to Google Cloud. The third-party APIs are responsible for credit card processing, shipping, and inventory management using the process shown in the diagram.
Your customers are reporting that the ecommerce application is running slowly at unpredictable times. The application doesn't report any metrics You need to determine the cause of the inconsistent performance What should you do?

You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run
integration tests. When there is a failure, you want the build history to clearly display the stage at which the
build failed.
What should you do?
Your team recently deployed an application on Google Kubernetes Engine (GKE). You are monitoring your application and want to be alerted when the average memory consumption of your containers is under 20% or above 80% How should you configure the alerts?
Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups#type Alternatively, if an automated update is potentially too disruptive, you can choose to perform an opportunistic update. The MIG applies an opportunistic update only when you manually initiate the update on selected instances or when new instances are created. New instances can be created when you or another service, such as an autoscaler, resizes the MIG. Compute Engine does not actively initiate requests to apply opportunistic updates on existing instances.
You are planning to deploy hundreds of microservices in your Google Kubernetes Engine (GKE) cluster. How should you secure communication between the microservices on GKE using a managed service?
https://cloud.google.com/service-mesh/docs/overview#security_benefits
- Ensures encryption in transit. Using mTLS for authentication also ensures that all TCP communications are encrypted in transit.
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