Free Access to Google.Professional-Cloud-DevOps-Engineer.v2024-02-27.q110 with Valid Practice Test (Page 22)

Question 101

You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

A.Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
B.Confirm that your account has the proper permissions to use the Stackdriver dashboard.
C.Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
D.Confirm that the application is using the required client library and the service account key has proper permissions.

Question 102

You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A.flex/connections/current
B.tcp_ssl_proxy/new_connections
C.tcp_ssl_proxy/open_connections
D.flex/instance/connections/current

Question 103

You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A.Grant the team members the IAM role of logging.configWriter on Cloud IAM.
B.Configure Access Context Manager to allow only these members to export logs.
C.Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
D.Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

Question 104

You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?

A.Cloud Build with Packer
B.Cloud Build with Google Cloud Deploy
C.Google Kubernetes Engine with Google Cloud Deploy
D.Cloud Build with kpt

Correct Answer: B

Explanation
Cloud Build is a fully managed continuous integration and continuous delivery (CI/CD) service that helps you automate your builds, tests, and deployments. Google Cloud Deploy is a service that automates the deployment of your applications to Google Kubernetes Engine (GKE).
Together, Cloud Build and Google Cloud Deploy can be used to build and deploy your application's custom Compute Engine images to your current environment and to other cloud providers in the future.
Here are the steps involved in using Cloud Build and Google Cloud Deploy to implement a CI/CD pipeline for your application:
Create a Cloud Build trigger that fires whenever a change is made to your application's code.
In the Cloud Build trigger, configure Cloud Build to build your application's Docker image.
Create a Google Cloud Deploy configuration file that specifies how to deploy your application's Docker image to GKE.
In Google Cloud Deploy, create a deployment that uses your configuration file.
Once you have created the Cloud Build trigger and Google Cloud Deploy configuration file, any changes made to your application's code will trigger Cloud Build to build a new Docker image. Google Cloud Deploy will then deploy the new Docker image to GKE.
This solution stack is adaptable to future changes because it uses a cloud-agnostic approach. Cloud Build can be used to build Docker images for any cloud provider, and Google Cloud Deploy can be used to deploy Docker images to any Kubernetes cluster.
The other solution stacks are not as adaptable to future changes. For example, solution stack A (Cloud Build with Packer) is limited to building Docker images for Compute Engine. Solution stack C (Google Kubernetes Engine with Google Cloud Deploy) is limited to deploying Docker images to GKE. Solution stack D (Cloud Build with kpt) is a newer solution that is not yet as mature as Cloud Build and Google Cloud Deploy.
Overall, the best solution stack for implementing a CI/CD pipeline for your application in a multi-cloud environment is Cloud Build with Google Cloud Deploy. This solution stack is fully managed, cloud-agnostic, and adaptable to future changes.

Question 105

Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to load test new features. What should you do?

A.Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
B.Create a development environment with smaller server capacity and give access only to developers and testers.
C.Create an automated testing script in production to detect failures as soon as they occur.
D.Secure the production environment to ensure that developers can't change it and set up one controlled update per year.

Question 101

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Question 103

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Question 105

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