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

Section	Weight	Objectives
Implementing observability and troubleshooting	20%	- Optimize observability strategy 1. Integrate observability into development 2. Reduce noise and prioritize signals 3. Scale monitoring for large environments - Troubleshoot complex issues 1. Trace requests end-to-end 2. Analyze performance and latency 3. Isolate problems across layers - Build monitoring and logging systems 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace 2. Collect and analyze metrics, logs, traces 3. Create dashboards and alerts
Optimizing performance and cost	17%	- Apply FinOps practices 1. Right-size resources and eliminate waste 2. Use spot instances and committed use discounts 3. Monitor and analyze cloud costs - Improve system performance 1. Tune applications and infrastructure 2. Use caching and content delivery 3. Optimize resource allocation - Balance cost, performance, and reliability 1. Plan capacity and scaling 2. Optimize over time 3. Make tradeoff decisions based on data
Bootstrapping and maintaining a Google Cloud organization	20%	- Design resource hierarchy 1. Organize resources by project/folder/application 2. Plan shared networking and connectivity 3. Define IAM policies and access control - Manage configuration and deployment 1. Use Infrastructure as Code tools 2. Automate resource provisioning 3. Enforce consistency across environments - Set up governance and compliance 1. Implement organization policies 2. Manage resource quotas and limits 3. Configure audit logging and monitoring
Building and implementing CI/CD pipelines	25%	- Implement and secure pipelines 1. Enforce security scanning and compliance checks 2. Manage pipeline secrets and credentials 3. Automate build, test, and deployment stages - Design CI/CD pipelines 1. Integrate artifact management 2. Support hybrid/multi-cloud deployment 3. Plan pipelines for apps, infrastructure, ML workloads - Optimize and maintain pipelines 1. Monitor pipeline performance 2. Handle rollbacks and versioning 3. Improve speed and reliability
Applying site reliability engineering practices	18%	- Define reliability goals 1. Align reliability with business needs 2. Establish SLIs, SLOs, SLAs 3. Use error budgets to balance change and stability - Manage incidents and outages 1. Detect and respond to issues quickly 2. Implement improvements to prevent recurrence 3. Perform postmortems and root cause analysis - Design for resilience 1. Automate remediation and self-healing 2. Plan redundancy and fault tolerance 3. Test failure scenarios and recovery

>> Professional-Cloud-DevOps-Engineer시험대비자료 <<

최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q64-Q69):

질문 # 64
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
B. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
C. Configure Access Context Manager to allow only these members to export logs.
D. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

정답：A

설명：
Explanation/Reference: https://cloud.google.com/logging/docs/access-control

질문 # 65
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications.
What should you do?

A. Announce deprecation of the old version of the API.
Contact remaining users on the old API.
Introduce the new version of the API.
Deprecate the old version of the API.
Provide best effort support to users of the old API.
Turn down the old version of the API.
B. Introduce the new version of the API.
Contact remaining users of the old API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API.
C. Announce deprecation of the old version of the API.
Introduce the new version of the API.
Contact remaining users on the old API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API.
D. Introduce the new version of the API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Contact remaining users of the old API.
Provide best effort support to users of the old API.
Turn down the old version of the API.

정답：D

질문 # 66
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?

A. Download the JSON definition of the dashboard, and send the JSON file to the partner team
B. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
C. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
D. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team

정답：A

질문 # 67
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

A. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
B. Use the Recommender API and apply the suggested recommendations
C. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
D. Create an Agent Policy to automatically install Ops Agent in all VMs

정답：B

설명：
The best option for selecting the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps is to use the Recommender API and apply the suggested recommendations.
The Recommender API is a service that provides recommendations for optimizing your Google Cloud resources, such as Compute Engine instances, disks, and firewalls. You can use the Recommender API to get recommendations for changing the machine type of your Compute Engine instances based on historical system metrics, such as CPU utilization. You can also apply the suggested recommendations by using the Recommender API or Cloud Console. This way, you can optimize CPU utilization by using the most suitable machine type for your application with minimal effort.

질문 # 68
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?

A. Verify the VM service account access scope includes the monitoring.write scope.
B. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd
C. Look for the agent's test log entry in the Logs Viewer.
D. Install the most recent version of the Stackdriver agent.

정답：B

설명：
Explanation
https://cloud.google.com/compute/docs/access/service-accounts#associating_a_service_account_to_an_instance

질문 # 69
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Professional-Cloud-DevOps-Engineer시험대비자료, Professional-Cloud-DevOps-Engineer시험준비자료

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

최신 Professional-Cloud-DevOps-Engineer시험대비자료 덤프공부

최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q64-Q69):