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Obtaining the Google Professional-Cloud-DevOps-Engineer certification is a significant achievement for professionals in the cloud computing industry. It demonstrates their expertise in DevOps practices and their ability to design and implement solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification can help professionals advance their careers and increase their earning potential by demonstrating their skills and knowledge to employers and clients.

Google Professional-Cloud-DevOps-Engineer exam is designed to validate the skills and expertise of professionals in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for individuals who are responsible for designing, building, and managing scalable and reliable cloud infrastructure and applications. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including continuous integration and delivery, monitoring and logging, security, and compliance. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for professionals who work with Google Cloud Platform and have experience with one or more of the programming languages such as Python, Java or Ruby.

The Professional-Cloud-DevOps-Engineer Certification is suitable for professionals who are looking to advance their careers in the DevOps domain and work with GCP technologies. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers various topics, including continuous delivery, automation, infrastructure as code, monitoring, and logging. Professional-Cloud-DevOps-Engineer exam also evaluates a candidate's proficiency in using GCP tools such as Cloud Build, Cloud Source Repositories, Cloud Monitoring, and Stackdriver Logging. Passing Professional-Cloud-DevOps-Engineer exam demonstrates that a DevOps engineer has the necessary skills to design and implement effective DevOps workflows in the GCP environment.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q172-Q177):

NEW QUESTION # 172
Your organization is using Helm to package containerized applications Your applications reference both public and private charts Your security team flagged that using a public Helm repository as a dependency is a risk You want to manage all charts uniformly, with native access control and VPC Service Controls What should you do?

A. Store public and private charts in OCI format by using Artifact Registry
B. Store public and private charts by using Git repository Configure Cloud Build to synchronize contents of the repository into a Cloud Storage bucket Connect Helm to the bucket by using https: // [bucket]
.srorage.googleapis.com/ [holnchart] as the Helm repository
C. Configure a Helm chart repository server to run in Google Kubernetes Engine (GKE) with Cloud Storage bucket as the storage backend
D. Store public and private charts by using GitHub Enterprise with Google Workspace as the identity provider

Answer: A

Explanation:
Explanation
The best option for managing all charts uniformly, with native access control and VPC Service Controls is to store public and private charts in OCI format by using Artifact Registry. Artifact Registry is a service that allows you to store and manage container images and other artifacts in Google Cloud. Artifact Registry supports OCI format, which is an open standard for storing container images and other artifacts such as Helm charts. You can use Artifact Registry to store public and private charts in OCI format and manage them uniformly. You can also use Artifact Registry's native access control features, such as IAM policies and VPC Service Controls, to secure your charts and control who can access them.

NEW QUESTION # 173
You are creating a CI/CD pipeline in Cloud Build to build an application container image The application code is stored in GitHub Your company requires thai production image builds are only run against the main branch and that the change control team approves all pushes to the main branch You want the image build to be as automated as possible What should you do?
Choose 2 answers

A. Enable the Approval option on the trigger
B. Create a trigger on the Cloud Build job Set the repository event setting to Push to a branch
C. Add the owners file to the Included files filter on the trigger
D. Create a trigger on the Cloud Build job Set the repository event setting to Pull request'
E. Configure a branch protection rule for the main branch on the repository

Answer: B,E

NEW QUESTION # 174
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

A. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
B. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
C. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

Answer: A

Explanation:
Explanation
https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging.
https://cloud.google.com/logging/docs/agent/logging/configuration#configure

NEW QUESTION # 175
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?

A. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
B. Configure the Ops Agent with a metrics receiver
C. Update the application to export the IP address request metrics to the Cloud Monitoring API
D. Configure the Ops Agent with a logging receiver Create a logs-based metric

Answer: D

NEW QUESTION # 176
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
B. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
C. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
D. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

Answer: B

NEW QUESTION # 177
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Professional-Cloud-DevOps-Engineer Reliable Braindumps | Professional-Cloud-DevOps-Engineer Valid Exam Discount

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q172-Q177):

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