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Exam Details

The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.

If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.

Upon successful completion of the certification exam, candidates will receive a Google Cloud Certified - Professional Cloud DevOps Engineer certificate, which demonstrates their proficiency in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and is highly valued by employers, making it an excellent investment for professionals seeking to advance their career in this field.

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Google Professional-Cloud-DevOps-Engineer is a certification exam that is designed to validate the skills and knowledge of professionals in cloud-based DevOps engineering. Professional-Cloud-DevOps-Engineer exam is designed for individuals who have experience in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on assessing the candidate's ability to design, develop, and manage a robust cloud-based DevOps environment using GCP services and tools.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

A. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket
B. The organization's public-facing website
C. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
D. A scalable in-memory caching system

Answer: A

Explanation:
Explanation
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 83
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. 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.
C. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
D. 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.

Answer: A

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 # 84
You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

A. Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
B. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
C. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
D. Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table

Answer: B

Explanation:
Explanation
https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric

NEW QUESTION # 85
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to- share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

A. 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.3. Build the dashboards in the SIEM system and share with your stakeholders.
B. 1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.2. Enable the Cloud Storage API to pull the logs programmatically.3. Build a custom data visualization application.4. Display the pulled logs in a custom dashboard.
C. 1. Export VM utilization logs (rom Stackdriver to BigQuery.2. From BigQuery. export the logs to a CSV file.3. Import the CSV file into Google Sheets.4. Build a dashboard in Google Sheets and share it with your stakeholders.
D. 1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3.
Share the dashboard with your stakeholders.

Answer: D

NEW QUESTION # 86
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

A. Distribute the alerts to engineers in different time zones.
B. Eliminate unactionable alerts.
C. Redefine the related Service Level Objective so that the error budget is not exhausted.
D. Create an incident report for each of the alerts.

Answer: B

Explanation:
Explanation
Eliminate bad monitoring : Unactionable alerts (i.e., spam)
https://cloud.google.com/blog/products/management-tools/meeting-reliability-challenges-with-sre-principles agree with kyubiblaze about having to remove unactionable items aka spam: "good monitoring alerts on actionable problems" @
https://cloud.google.com/blog/products/management-tools/meeting-reliability-challenges-with-sre-principles

NEW QUESTION # 87
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