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Pass Guaranteed Quiz 2025 Google Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam–The Best Certification Torrent

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Google Professional-Cloud-DevOps-Engineer certification is intended for individuals who possess a strong background in software development, operations, and deployment. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is designed to help professionals gain a deeper understanding of cloud computing concepts, DevOps principles, and best practices for deploying and maintaining applications on GCP.

Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in the Google Cloud Platform (GCP) and DevOps practices. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on testing the candidate's ability to design, develop, and manage GCP solutions using DevOps principles. Professional-Cloud-DevOps-Engineer Exam is intended for professionals who have experience in developing and managing applications on GCP and have a good understanding of DevOps practices and principles.

The Google Professional-Cloud-DevOps-Engineer exam is designed to evaluate the candidate's ability to design and implement DevOps processes and practices using the Google Cloud Platform. This includes skills such as developing and managing continuous integration and delivery pipelines, configuring monitoring and alerting strategies, implementing automated testing frameworks, and managing infrastructure as code.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q171-Q176):

NEW QUESTION # 171
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

A. Check the serial port logs of the Compute Engine instance.
B. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
C. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
D. Determine whether there is an increased number of connections to the Cloud SQL instance.

Answer: D

Explanation:
Explanation
The most probable cause of the database timeout is an increased number of connections to the Cloud SQL instance. This could happen if the application does not close connections properly or if it creates too many connections at once. You can check the number of connections to the Cloud SQL instance using Cloud Monitoring or Cloud SQL Admin API .

NEW QUESTION # 172
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?

A. Verify the VM service account access scope includes the monitoring.write scope.
B. Install the most recent version of the Stackdriver agent.
C. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd
D. Look for the agent's test log entry in the Logs Viewer.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/access/service-
accounts#associating_a_service_account_to_an_instance

NEW QUESTION # 173
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?

A. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.
B. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
C. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.
D. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

Answer: A

Explanation:
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups

NEW QUESTION # 174
You are designing a new Google Cloud organization for a client. Your client is concerned with the risks associated with long-lived credentials created in Google Cloud. You need to design a solution to completely eliminate the risks associated with the use of JSON service account keys while minimizing operational overhead. What should you do?

A. Grant the roles/ iam.serviceAccountKeyAdmin IAM role to organization administrators only.
B. Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.
C. Apply the constraints/iam.disableServiceAccountKeyUp10ad constraint to the organization.
D. Use custom versions of predefined roles to exclude all iam.serviceAccountKeys. * service account role permissions.

Answer: B

Explanation:
Explanation
The correct answer is B. Apply the constraints/iam.disableServiceAccountKeyCreation constraint to the organization.
According to the Google Cloud documentation, the constraints/iam.disableServiceAccountKeyCreation constraint is an organization policy constraint that prevents the creation of user-managed service account keys1. User-managed service account keys are long-lived credentials that can be downloaded as JSON or P12 files and used to authenticate as a service account2. These keys pose severe security risks if they are leaked, stolen, or misused by unauthorized entities34. By applying this constraint to the organization, you can completely eliminate the risks associated with the use of JSON service account keys and enforce a more secure alternative for authentication, such as Workload Identity or short-lived access tokens12. This also minimizes operational overhead by avoiding the need to manage, rotate, or revoke user-managed service account keys.
The other options are incorrect because they do not completely eliminate the risks associated with the use of JSON service account keys. Option A is incorrect because it only restricts the IAM permissions to create, list, get, delete, or sign service account keys, but it does not prevent existing keys from being used or leaked.
Option C is incorrect because it only disables the upload of user-managed service account keys, but it does not prevent the creation or download of such keys. Option D is incorrect because it only limits the IAM role that can create and manage service account keys, but it does not prevent the keys from being distributed or exposed to unauthorized entities.

NEW QUESTION # 175
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE).
You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
B. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.
C. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.
D. Alter the deployment to point to the sha2 56 digest of the previously working container.

Answer: D

NEW QUESTION # 176
......

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