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Google Professional-Cloud-DevOps-Engineer Exam Questions With Free Updates At 30% Discount

With the rapid development of society, people pay more and more attention to knowledge and skills. So every year a large number of people take Professional-Cloud-DevOps-Engineer tests to prove their abilities. But even the best people fail sometimes. In addition to the lack of effort, may also not make the right choice. A good choice can make one work twice the result with half the effort, and our Professional-Cloud-DevOps-Engineer Study Materials will be your right choice.

Topics of Google Professional Cloud DevOps Engineer Exam

Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics: Applying site reliability engineering principles to a service

  • Agree to consequences of not meeting the error budget
  • Balance change, velocity, and reliability of the service:
  • Construct feedback loops to decide what to build next
  • Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
  • Define SLOs and understand SLAs
  • Discover SLIs (availability, latency, etc.)

Building and implementing CI/CD pipelines for a service

  • Design CI/CD pipelines:
  • Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
  • Deployment strategies with Cloud Build, Spinnaker
  • CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
  • Testing a new version with Spinnaker
  • Artifact repositories with Container Registry
  • Immutable artifacts with Container Registry
  • Artifact versioning strategy with Cloud Build, Container Registry

Implementing service monitoring strategies

  • Implementing logs-based metrics
  • Sending application logs directly to Stackdriver API with Stackdriver Logging
  • Collecting metrics from Compute Engine
  • Sending logs to an external logging platform
  • Using basic vs. advanced logging filters
  • Set ACL to restrict export configuration with IAM, Stackdriver Logging
  • Use metric explorer for ad hoc metric analysis
  • Viewing export logs in Cloud Storage and BigQuery
  • Enabling VPC flow logs
  • Selecting the options for logging export
  • Understanding the logging exclusion vs. logging export
  • Manage application logs:
  • Viewing logs in the GCP Console
  • Implementing a project-level / org-level export

Optimizing service performance

  • Work with committed-use discounts
  • identify resource costs
  • Identify service performance issues:
  • Interpret service mesh telemetry
  • Utilize Stackdriver Trace/Profiler to profile performance characteristics
  • Identify resource utilization levels
  • TCO considerations
  • Troubleshoot issues with the image/OS
  • Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
  • Utilize Stackdriver to identify cloud resource utilization

Managing service incidents

  • Handle requests for impact assessment
  • Identify alternatives to mitigate the issue
  • Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
  • Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
  • Perform an investigation to isolate the most likely actual cause
  • Define roles (incident commander, communication lead, operations lead)
  • Avoid exhaustion/burnout
  • Identify probable causes of service failure

Preparation Resources for Certification Test

Passing this Google exam is possible from the first attempt if you combine different preparation resources such as the ones offered by the vendor and the books available on Amazon. In case you’re on the lookout for the most effective revision materials, here’s our choice:

  • Google Cloud DevOps Engineer Learning PathThe vendor has developed a comprehensive learning path for candidates who want to pass the Professional Cloud DevOps Engineer exam. It includes several courses that will take the applicants through all the steps necessary to validate the necessary abilities to get the passing score from the first attempt. In particular, this learning kit includes the following training sessions:

  • The Google Cloud Fundamentals: Core Infrastructure class focuses on helping the candidates learn about storage and computing services which are included in Google Cloud Pack. Therefore, the exam-takers will learn how to use the BigQuery, App Engine, Cloud SQL and Storage, and Google Kubernetes Engine features.

  • The training dedicated to the development of a Google SRE culture helps the candidates gain advanced skills in providing production support and minimizing the gap between operations and development. During this course, applicants will learn the secrets of Site Reliability Engineering and how they can benefit from creating a Google SRE culture.

  • The Architecting with Google Cloud: Design and Process class helps the test-takers learn how to deploy Google Cloud features in a cost-effective and performant way.

  • The final training session included in this learning path is dedicated to monitoring, logging, and observability in Google Cloud. It teaches the candidates how to troubleshoot and improve Google Cloud infrastructure performance.

Once the candidates go through the courses mentioned above, they will gain several skill badges that consolidate their skills in DevOps engineering. These badges are as follows:

  • The skill badge that validates the ability to use Google Cloud for performing foundational infrastructure tasks. It helps the candidates learn how to manage important application services such as Cloud Functions or Stackdriver.
  • The second badge is related to the implementation of DevOps features in Google Cloud. In particular, it will help the candidates improve their software delivery capacity with the help of Google Cloud and achieve a higher speed, availability, and stability.
  • The last badge helps the candidates understand how to use the Google Cloud Operations Suite for monitoring and logging. Thus, the applicants will learn how to use Google Cloud’s ins and outs for generating healthier and improved applications.

Without doubt, a candidate who goes through this learning process provided by Google will have significantly higher chances to get certified in one go. * Google Cloud Professional Cloud DevOps Engineer Exam – All in One Guide: Get Certified Efficiently in Google Cloud! (Google Cloud Certification Series Book 7)This book is available on Amazon in Kindle format and has been published by Joseph Holbrook. Also, the candidates can buy it for almost $12. This guide follows all the topics tested in the certification exam and helps the applicants sharpen their skills in managing Google Cloud DevOps Engineer features. Besides, it helps entrants to fully prepare for the designation test as it includes more than 100 questions and detailed answers for each of them. Thus, the exam-takers will get used to the test structure and difficulty level. Plus, anyone who buys this guide will receive free access to additional learning resources that will consolidate their knowledge of Google Cloud apps and features.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
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 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.
  • B. 1. Export VM utilization logs from Stackdriver to BigQuery.
    2. Create a dashboard in Data Studio.
    3. Share the dashboard with your stakeholders.
  • C. 1. Export VM utilization logs from 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 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.

Answer: B
NEW QUESTION # 38
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

  • A. Review the Stackdriver monitoring.
  • B. Deploy a new release to see whether it fixes the problem.
  • C. Roll back the recent release.
  • D. Upsize the virtual machines running the login services.

Answer: D Explanation:
Rollback to previous stable version. Then you need to find what is causing the issue.
NEW QUESTION # 39
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring.
What should you do?

  • A. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
  • B. Publish various metrics from the application directly to the Stackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
  • C. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
  • D. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

Answer: C
NEW QUESTION # 40
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

  • A. Get the product team to prioritize reliability work over new features.
  • B. Make the service's SLO more strict.
  • C. Shift engineering time to other services that need more reliability.
  • D. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
  • E. Increase the service's deployment velocity and/or risk.

Answer: A,D
NEW QUESTION # 41
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. All PII entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

  • A. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a log exclusion with userinfo as a filter.
  • B. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
  • C. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
  • D. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

Answer: D
NEW QUESTION # 42
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