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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
1.2 Manage service life cycle:
Define SLOs and understand SLAs
Discover SLIs (availability, latency, etc.)
Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
Toil automation
Agree to consequences of not meeting the error budget

Building and implementing CI/CD pipelines for a service

Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
Artifact versioning strategy with Cloud Build, Container Registry
Deployment strategies with Cloud Build, Spinnaker
Testing a new version with Spinnaker

Implementing service monitoring strategies

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

Optimizing service performance

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

Managing service incidents

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

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Earning the Google Professional-Cloud-DevOps-Engineer Certification can demonstrate to employers that an individual has the skills and knowledge needed to effectively manage cloud technologies with DevOps practices. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification can also lead to better job opportunities and higher salaries for cloud professionals.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

A. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.
B. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
C. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
D. Escalate the situation and request additional error budget.

Answer: C

NEW QUESTION # 18
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

A. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
B. A quality SLI: the ratio of non-degraded responses to total responses
C. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
D. An availability SLI: the ratio of healthy microservices to the total number of microservices

Answer: C

NEW QUESTION # 19
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 250ms
95th percentile - 400ms
B. 90th percentile - 150ms
95th percentile - 300ms
C. 90th percentile - 100ms
95th percentile - 250ms
D. 90th percentile - 120ms
95th percentile - 275ms

Answer: D

NEW QUESTION # 20
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. Customer Impact Assessor
B. Operations Lead
C. Engineering Lead
D. Communications Lead
E. External Customer Communications Lead

Answer: B,D

Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)." The Operations Lead is responsible for managing the operational aspects of the incident, such as deploying fixes, rolling back changes, or restoring backups. The External Customer Communications Lead is not a standard role in incident response, but it could be delegated by the Communications Lead if needed.

NEW QUESTION # 21
Your organization wants to collect system logs that will be used to generate dashboards in Cloud Operations for their Google Cloud project. You need to configure all current and future Compute Engine instances to collect the system logs and you must ensure that the Ops Agent remains up to date. What should you do?

A. Use the gcloud CLI to install the Ops Agent on each VM listed in the Cloud Asset Inventory
B. Install the Ops Agent on the Compute Engine image by using a startup script
C. Select all VMs with an Agent status of Not detected on the Cloud Operations VMs dashboard Then select Install agents
D. Use the gcloud CLI to create an Agent Policy.

Answer: D

Explanation:
The best option for configuring all current and future Compute Engine instances to collect system logs and ensure that the Ops Agent remains up to date is to use the gcloud CLI to create an Agent Policy. An Agent Policy is a resource that defines how Ops Agents are installed and configured on VM instances that match certain criteria, such as labels or zones. Ops Agents are software agents that collect metrics and logs from VM instances and send them to Cloud Operations products, such as Cloud Monitoring and Cloud Logging. By creating an Agent Policy, you can ensure that all current and future VM instances that match the policy criteria will have the Ops Agent installed and updated automatically. This way, you can collect system logs from all VM instances and use them to generate dashboards in Cloud Operations.

NEW QUESTION # 22
......

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Google Focus on What’s Important of Professional-Cloud-DevOps-Engineer Latest Test Cost

Topics of Google Professional Cloud DevOps Engineer Exam

Google Professional-Cloud-DevOps-Engineer New Braindumps Ebook & Prep Professional-Cloud-DevOps-Engineer Guide

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q17-Q22):

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