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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Exam Price:	$200 (plus tax where applicable)
Related Certifications:	Professional Cloud Developer Professional Cloud Architect Professional Cloud Network Engineer Professional Cloud Security Engineer
Certificate Validity Period:	2 years
Passing Score:	Not publicly disclosed
Available Languages:	Japanese, English
Real Exam Qty:	50-60
Exam Duration:	120 minutes
Exam Format:	Multiple choice, Multiple select
Recommended Training:	Professional Cloud DevOps Engineer Learning Path Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-devops-engineer

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Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly coveted credential for professionals who want to demonstrate their expertise in cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is designed to test the candidate's knowledge and skills in various cloud-based DevOps tools and technologies, including infrastructure automation, continuous integration and delivery, monitoring and logging, and security and compliance.

Google Professional-Cloud-DevOps-Engineer exam is an essential certification for professionals who want to develop their skills in cloud-based DevOps engineering. Professional-Cloud-DevOps-Engineer exam covers various aspects of infrastructure deployment, automation, monitoring, and optimization, and tests the candidate's ability to design, develop, and manage cloud-based solutions using best practices and industry standards. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is highly valued in the industry and can lead to better career opportunities and higher salaries.

Career Prospects

The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

A. Monitor results of Stackdriver Trace to determine the required amount of resources.
B. Validate that the resource requirements are within the available quota limits of each region.
C. Use the n1-highcpu-96 machine type in the configuration of the MIG.
D. Deploy the service in one region and use a global load balancer to route traffic to this region.

Answer: C

NEW QUESTION # 102
Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

A. Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions tocorrect the drifts
B. Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.
C. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments
D. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments

Answer: C

NEW QUESTION # 103
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

A. Contact the affected service owners and update them on the status of the incident.
B. Establish a communication channel where incident responders and leads can communicate with each other.
C. Look for ways to mitigate user impact and deploy the mitigations to production.
D. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

Answer: C

Explanation:
https://sre.google/sre-book/managing-incidents/

NEW QUESTION # 104
Your team has an application built by using a Dockerfile. The build is executed from Cloud Build, and the resulting artifacts are stored in Artifact Registry. Your team is reporting that builds are slow. You need to increase build speed, while following Google-recommended practices. What should you do?

A. Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the later stages of the build process.
B. Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the earlier stages of the build process.
C. Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the earlier stages of the build process.
D. Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the later stages of the build process.

Answer: D

Explanation:
To speed up Docker builds, optimize layer caching. Google Cloud recommends using --cache-from with Artifact Registry, and placing frequently changed files late in the Dockerfile so earlier layers can be reused.
"Put instructions that are less likely to change (like installing packages) early in the Dockerfile, and more frequently changing lines (like copying app code) near the end."
- Dockerfile Best Practices
"Use the --cache-from argument to pull layers from previously built images in Artifact Registry."
- Cloud Build Docker Caching
This dramatically reduces build time by avoiding redundant rebuilds of static layers.

NEW QUESTION # 105
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 logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
C. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
D. * 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.

Answer: D

NEW QUESTION # 106
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