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Cloud DevOps Engineer Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Last Update Nov 1, 2026
Total Questions : 201

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Questions 2

You are the Site Reliability Engineer responsible for managing your company's data services and products. You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

Options:

Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.

When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.

When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.

Review the design of the product with the product development team to provide feedback early in the design phase.

Discussion 0

Questions 3

You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

Options:

Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently

Inject the secret at the time of instance creation via an encrypted configuration management system.

Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application

Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

Discussion 0

Questions 4

You manage a critical, user-facing application and have configured a service level objective (SLO) in Cloud Monitoring to track 99% availability over a 30-day rolling window. Recently, a series of minor issues have increased latency, causing the error budget to be consumed at an accelerated rate. You need to be proactively notified when the service is at risk of violating its SLO before the error budget is fully depleted. What should you do?

Options:

In Cloud Monitoring, create an alerting policy based on the SLO's error budget burn rate. Configure the alert to trigger when the current consumption rate is projected to exhaust the budget before the end of the 30-day compliance period.

Create a custom dashboard in Cloud Monitoring that visualizes the SLO compliance percentage and the remaining error budget. Configure the dashboard to send a scheduled daily report through email.

Configure a log-based metric in Cloud Monitoring that tracks the rate of application error logs. Create an alerting policy on this metric that triggers when the error rate shows a significant anomalous deviation from its historical baseline.

In Metrics Explorer, create an alerting policy based on the average request latency for the application's load balancer. Configure the alert to trigger if latency exceeds a predefined threshold.

Discussion 0

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Questions 5

Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria

1 The platform must be able to direct traffic from Android devices to an Android-specific microservice

2 The platform must allow for arbitrary percentage-based traffic splitting

3 The deployment strategy must allow for continuous testing of multiple versions of any microservice

What should you do?

Options:

Deploy the canary release of the application to Cloud Run Use traffic splitting to direct 10% of user traffic to the canary release based on the revision tag

Deploy the canary release of the application to App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address

Deploy the canary release of the application to Compute Engine Use Anthos Service Mesh with Compute Engine to direct 10% of user traffic to the canary release by configuring the virtual service.

Deploy the canary release to Google Kubernetes Engine with Anthos Sen/ice Mesh Use traffic splitting to direct 10% of user traffic to the new version based on the user-agent header configured in the virtual service

Discussion 0

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