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  3. PROFESSIONAL-CLOUD-DEVOPS-ENGINEER

Google PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Exam (page: 4)
Google Professional Cloud DevOps Engineer
Updated on: 25-Dec-2025

Viewing Page 4 of 37
PROFESSIONAL-CLOUD-DEVOPS-ENGINEER PDF 201 Questions

You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging.
What should you do?

  1. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
  2. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
  3. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.
  4. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

Answer(s): B

Explanation:

https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api- 42bbb1308e76



Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort.
What should you do?

  1. Assign the Container Developer role to the Cloud Build service account.
  2. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
  3. Create a new service account with the Container Developer role and use it to run Cloud Build.
  4. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.

Answer(s): A

Explanation:

https://cloud.google.com/build/docs/deploying-builds/deploy-gke https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts



You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances.
Which application is suitable for preemptible VMs?

  1. A scalable in-memory caching system
  2. The organization's public-facing website
  3. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
  4. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket

Answer(s): D

Explanation:

https://cloud.google.com/compute/docs/instances/preemptible



You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity.
What should you do?

  1. Use the n2-highcpu-96 machine type in the configuration of the MIG.
  2. Monitor results of Stackdriver Trace to determine the required amount of resources.
  3. Validate that the resource requirements are within the available quota limits of each region.
  4. Deploy the service in one region and use a global load balancer to route traffic to this region.

Answer(s): C

Explanation:

https://cloud.google.com/compute/quotas#understanding_quotas https://cloud.google.com/compute/quotas



You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory.
What should you do?

  1. Use Stackdriver Kubernetes Engine Monitoring.
  2. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
  3. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
  4. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Answer(s): A

Explanation:

https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring



Viewing Page 4 of 37



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