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The Professional-Cloud-DevOps-Engineer Certification Exam assesses a candidate's proficiency in various areas, including designing and implementing continuous delivery pipelines, configuring infrastructure automation, monitoring, and logging systems, and managing and deploying services using container technology. Professional-Cloud-DevOps-Engineer exam is intended for professionals who have experience in DevOps practices, software development, and system administration.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam is a challenging certification exam that requires extensive knowledge and expertise in cloud operations and DevOps engineering. By passing this certification exam, individuals can demonstrate their proficiency in deploying and managing cloud solutions using Google Cloud Platform technology and can enhance their career prospects in the highly competitive field of cloud computing.

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Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

Implementation of Strategies for Service Monitoring
Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.
Management of Service Incidents
To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.
Optimization of Service Performance
Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.
Building & Implementation of CI/CD Pipelines for Services
The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.
Application of Site Reliability Engineering Principles to Services
This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q193-Q198):

NEW QUESTION # 193
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the application runs for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

A. Increase the CPU limit in the application deployment.
B. Increase the memory limit in the application deployment.
C. Add high memory compute nodes to the cluster.
D. Add Cloud Trace to the application, and redeploy.

Answer: B

Explanation:
Explanation
The correct answer is B. Increase the memory limit in the application deployment.
The application is experiencing a memory leak, which means that it is allocating memory that is not freed or reused. This causes the heap usage to grow constantly until it reaches the memory limit of the pod, which triggers a restart by Kubernetes. Increasing the memory limit in the application deployment can help mitigate the problem by allowing the application to run longer before reaching the limit. However, this is not a permanent solution, as the memory leak will still occur and eventually exhaust the available memory. The best solution is to identify and fix the source of the memory leak in the application code, using tools like Cloud Profiler and pprof12.

NEW QUESTION # 194
Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach. What should you do?

A. Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.
B. Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.
C. Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.
D. Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it

Answer: C

NEW QUESTION # 195
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?

A. Bring the service into production with no SLOs and build them when you have collected operational data.
B. Identify recommended reliability improvements to the service to be completed before handover.
C. Adjust the SLO targets to be achievable by the service so you can bring it into production.
D. Notify the development team that they will have to provide production support for the service.

Answer: D

NEW QUESTION # 196
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Add a HTTP liveness probe to the microservice s deployment
B. Configure an alert to notify you whenever a Pod returns 403 errors
C. Monitor the Pods and terminate any Pods that have been running for more than five hours
D. Create a cron job to terminate any Pods that have been running for more than five hours

Answer: A

NEW QUESTION # 197
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. Look for ways to mitigate user impact and deploy the mitigations to production.
B. Contact the affected service owners and update them on the status of the incident.
C. Establish a communication channel where incident responders and leads can communicate with each other.
D. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

Answer: A

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

NEW QUESTION # 198
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