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Google Professional Cloud DevOps Engineer Certification Path

The Google Professional Cloud DevOps Engineer Certification is the highest level of certification mainly focusing on the Solution Architect Professional. There is no prerequisite for this exam but still, it would be best to follow some sequence to prove immense knowledge as a Google Professional Cloud DevOps Engineer.

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

How to book Google Professional Cloud DevOps Engineer Exams

The registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.

• Step 1: Visit the Google Cloud Webassessor Website
• Step 2: Sign-in or sign up to your Google Cloud Webassessor account
• Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
• Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.

After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.

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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

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

Building and implementing CI/CD pipelines for a service

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

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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.