Google Cloud Certified - Professional Cloud DevOps Engineer Exam: Professional-Cloud-DevOps-Engineer Exam Premium File as PDF & Test Engine

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Professional-Cloud-DevOps-Engineer exam is an important Google Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test Google technical experts have collected and certified 208 questions and answers of Cloud DevOps Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam which are designed to cover the knowledge points of the Planning and Designing Google Superdome Server Solutions and enhance candidates' abilities. With Fast2test Professional-Cloud-DevOps-Engineer preparation tests you can pass the Cloud DevOps Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam easily, get the Google certification and go further on Google career path.

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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

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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

• Construct feedback loops to decide what to build next
• Define SLOs and understand SLAs
• Agree to consequences of not meeting the error budget
• Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
• 1.2 Manage service life cycle:
• Discover SLIs (availability, latency, etc.)
• Toil automation
• 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
• Deployment strategies with Cloud Build, Spinnaker
• Design CI/CD pipelines:
• Immutable artifacts with Container Registry
• Testing a new version with Spinnaker
• Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
• Configure deployment processes (e.g., approval flows)
• CI/CD pipeline triggers with Cloud Source Repositories, Cloud Build GitHub App, Cloud Pub/Sub
• Artifact repositories with Container Registry

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics: