Prerequisites

The Google Professional Cloud DevOps Engineer certification exam is designed for the Application Developers and Programmers who want to learn how to design, develop, and deploy Cloud applications. This test has no formal prerequisites. However, the individuals are recommended to have at least 3 years of industry experience, involving 1 or more years of experience with managing solutions on Google Cloud Platform.

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How to Prepare For Google Professional Cloud DevOps Engineer Exam

Preparation Guide for Google Professional Cloud DevOps Engineer Exam

Introduction

Google has designed a track for IT professionals to endorse as a cloud DevOps Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using the industry-standard methodology to conclude whether or not an aspirant meets Google's proficiency standards.

According to Google, a Google Professional Cloud DevOps Engineer Exam test facilitates organizations to influence Google Cloud technologies. By leveraging experience implementing VPCs, DevOps services, hybrid connectivity, and security for established DevOps architectures, this individual ensures successful cloud implementations using the Google Cloud Platform Console or the command-line interface.

Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work as Google Professional Cloud DevOps Engineer and prove his knowledge, certification is offered by Google. This Google Professional Cloud DevOps Engineer Certification helps a candidate to validates his skills in Google Professional Cloud DevOps Engineer Technology.

In this guide, we will cover the Google Professional Cloud DevOps Engineer practice exams, Google Professional Cloud DevOps Engineer Certified Professionals salary, and all aspects of the Google Professional Cloud DevOps Engineer Certification.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

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

• 1.2 Manage service life cycle:
• Toil automation
• Discover SLIs (availability, latency, etc.)
• 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
• Agree to consequences of not meeting the error budget
• Balance change, velocity, and reliability of the service:

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

• Sending logs to an external logging platform
• Understanding the logging exclusion vs. logging export
• Collecting metrics from Compute Engine
• Implementing a project-level / org-level export
• Enabling data access logs (e.g., Cloud Audit Logs)
• Implementing logs-based metrics
• Enabling VPC flow logs
• Viewing export logs in Cloud Storage and BigQuery
• Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
• Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
• Viewing logs in the GCP Console
• Manage application logs:
• Use metric explorer for ad hoc metric analysis
• Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
• Sending application logs directly to Stackdriver API with Stackdriver Logging
• Collecting GKE/Kubernetes metrics
• Collecting third-party and structured logs with Stackdriver Logging, Fluentd
• Using basic vs. advanced logging filters
• Set ACL to restrict export configuration with IAM, Stackdriver Logging
• Selecting the options for logging export

Optimizing service performance

• Work with committed-use discounts
• Identify resource utilization levels
• Identify service performance issues:
• Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
• Consider network pricing
• Interpret service mesh telemetry
• Manage preemptible VMs
• Develop a plan to optimize areas of greatest cost or lowest utilization
• TCO considerations
• identify resource costs
• Troubleshoot issues with the image/OS
• Utilize Stackdriver to identify cloud resource utilization
• Utilize Stackdriver Trace/Profiler to profile performance characteristics
• Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)

Managing service incidents

• Avoid exhaustion/burnout
• Manage stakeholder relationships
• Provide regular status updates, internal and external
• Identify alternatives to mitigate the issue
• Handle requests for impact assessment
• Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
• Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior
• Perform an investigation to isolate the most likely actual cause
• Identify probable causes of service failure
• Coordinate roles and implement communication channels during a service incident:
• Rotate/hand over roles
• Scaling response team and delegation
• Define roles (incident commander, communication lead, operations lead)
• Record major changes in incident state (When mitigated? When all clear? etc.)