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Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in using Google Cloud Platform to build and deploy highly scalable and reliable applications. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for DevOps engineers, site reliability engineers, and other IT professionals who are responsible for managing and deploying software applications in the cloud. Professional-Cloud-DevOps-Engineer Exam Tests your knowledge of various cloud technologies, tools, and best practices that are essential for DevOps professionals to master.

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Google Professional-Cloud-DevOps-Engineer Exam is designed for individuals who have experience in DevOps and are looking to enhance their skills in cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for DevOps engineers, software developers, system administrators, and IT professionals who want to improve their knowledge of DevOps practices on the Google Cloud platform.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
Your company runs applications in Google Kubernetes Engine (GKE) that are deployed following a GitOps methodology.
Application developers frequently create cloud resources to support their applications. You want to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices. You need to ensure that infrastructure as code reconciles periodically to avoid configuration drift.
What should you do?

A. Create a Job resource with a Terraform docker image to execute terraforrm plan and terraform apply commands.
B. Create a Pod resource with a Terraform docker image to execute terraform plan and terraform apply commands.
C. Install and configure Config Connector in Google Kubernetes Engine (GKE).
D. Configure Cloud Build with a Terraform builder to execute plan and apply commands.

Answer: C

Explanation:
The best option to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices, is to install and configure Config Connector in Google Kubernetes Engine (GKE).
Config Connector is a Kubernetes add-on that allows you to manage Google Cloud resources through Kubernetes. You can use Config Connector to create, update, and delete Google Cloud resources using Kubernetes manifests.Config Connector also reconciles the state of the Google Cloud resources with the desired state defined in the manifests, ensuring that there is no configuration drift1.
Config Connector follows the GitOps methodology, as it allows you to store your infrastructure configuration in a Git repository, and use tools such as Anthos Config Management or Cloud Source Repositories to sync the configuration to your GKE cluster.This way, you can use Git as the source of truth for your infrastructure, and enable reviewable and version-controlled workflows2.
Config Connector can be installed and configured in GKE using either the Google Cloud Console or the gcloud command-line tool. You need to enable the Config Connector add-on for your GKE cluster, and create a Google Cloud service account with the necessary permissions to manage the Google Cloud resources.You also need to create a Kubernetes namespace for each Google Cloud project that you want to manage with Config Connector3.
By using Config Connector in GKE, you can give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices.You can also benefit from the features and advantages of Kubernetes, such as declarative configuration, observability, and portability4.
References:
1:Overview | Artifact Registry Documentation | Google Cloud
2: Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog
3: Installing Config Connector | Config Connector Documentation | Google Cloud
4: Why use Config Connector? | Config Connector Documentation | Google Cloud

NEW QUESTION # 69
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Rolling update deployment and shadow testing
B. Recreate deployment and canary testing
C. Rolling update deployment and A/B testing
D. Blue/green deployment and canary testing

Answer: D

Explanation:
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 70
Your company runs services on Google Cloud. Each team runs their applications in a dedicated project. New teams and projects are created regularly. Your security team requires that all logs are processed by a security information and event management (SIEM) system. The SIEM ingests logs by using Pub/Sub. You must ensure that all existing and future logs are scanned by the SIEM. What should you do?

A. Create an organization-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs.
B. Create a project-level logging sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each project.
C. Create an organization-level aggregated sink with a SIEM log bucket as the destination. Set an inclusion filter to include all logs.
D. Create a folder-level aggregated sink with a SIEM Pub/Sub topic as the destination. Set an inclusion filter to include all logs. Repeat for each folder.

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
To ensure all logs (existing and future) are automatically processed by the SIEM system, the best approach is:
Use an organization-level aggregated sink # Captures logs from all existing and future projects automatically.
Send logs to a Pub/Sub topic # Since the SIEM ingests logs via Pub/Sub, this ensures logs are streamed in real- time.
Set an inclusion filter # To capture all logs needed by the security team.
#Why not other options?
B (Project-level logging sink)## Requires manual setup per project, which doesn't scale for new projects.
C (Log bucket instead of Pub/Sub)## SIEM is expecting real-time log ingestion via Pub/Sub, not a storage- based approach.
D (Folder-level logging sink)## Only applies to specific folders, not the entire organization.
#Official Reference:
Aggregated Sinks for Cloud Logging
Exporting Logs to SIEM via Pub/Sub

NEW QUESTION # 71
You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

A. Enable AutoScaling on the production clusters, in case there is growth.
B. Load teat the application to profile its performance for scaling.
C. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.
D. Pre-provision double the compute power used last season, expecting growth.

Answer: B

Explanation:
Explanation
https://cloud.google.com/blog/topics/retail/preparing-for-peak-holiday-season-while-wfh

NEW QUESTION # 72
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers IAM Object Viewer access to view the logs in the specified bucket.
B. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
C. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
D. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.

Answer: C

NEW QUESTION # 73
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