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

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Question # 4

You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?

Choose 2 answers

Before merging new code, require 2 different peers to review the code changes.

Adopt the blue/green deployment strategy when releasing new code via a CD server.

Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

Require developers to run automated integration tests on their local development environments before release.

Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

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Question # 5

Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach. What should you do?

Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.

Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.

Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.

Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it

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Question # 6

The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics

Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues

Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues

Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

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Question # 7

You support a user-facing web application. When analyzing the applicationâ€™s error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your applicationâ€™s SLO to more closely reflect its observed reliability. What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)

Add more serving capacity to all of your applicationâ€™s zones.

Have more frequent or potentially risky application releases.

Tighten the SLO match the applicationâ€™s observed reliability.

Implement and measure additional Service Level Indicators (SLIs) fro the application.

Announce planned downtime to consume more error budget, and ensure that users are not depending on a tighter SLO.

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Question # 8

You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?

Choose 2 answers

Review current application metrics and add new ones as needed.

Modify the code to capture additional information for user interaction.

Analyze the web proxy logs only and capture response time of each request.

Create new synthetic clients to simulate a user journey using the application.

Use current and historic Request Logs to trace customer interaction with the application.

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