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The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.

To become a Google Cloud Certified Professional Cloud DevOps Engineer, candidates must pass the certification exam, which consists of multiple-choice and multiple-select questions. The exam covers a wide range of topics, including GCP services such as Kubernetes Engine, Cloud Functions, and Cloud Run, as well as DevOps practices such as continuous integration and delivery, monitoring and logging, and infrastructure as code. Candidates must also demonstrate their ability to troubleshoot issues and optimize performance in a GCP environment. Overall, the certification exam is a rigorous test of a candidate's skills and knowledge in deploying and managing applications on GCP, and passing it is a significant achievement for any DevOps professional.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. External Customer Communications LeadB. Customer Impact AssessorC. Engineering LeadD. Operations LeadE. Communications Lead

Answer: B,D

NEW QUESTION # 14
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. flex/instance/connections/currentB. tcp_ssl_proxy/open_connectionsC. tcp_ssl_proxy/new_connectionsD. flex/connections/current

Answer: D

Explanation:
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 15
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

A. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%B. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%C. MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%D. MTTD:5
MTTR: 10
MTBF: 90
Impact 50%

Answer: B

Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/

NEW QUESTION # 16
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

A. Your application servers' logsB. GKE health checks for your application serversC. Instrumentation coded directly in the clientD. Metrics exported from the application serversE. A synthetic client that periodically sends simulated user requests

Answer: B,E

NEW QUESTION # 17
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.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 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 monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.

Answer: B

Explanation:
* Give the developers IAM Object Viewer access to view the logs in the specified bucket.
Explanation:
https://cloud.google.com/logging/docs/audit#access-control

NEW QUESTION # 18
......

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