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

Section	Weight	Objectives
Topic 1: Building and implementing CI/CD pipelines	25%	- Implement and secure pipelines 1. Automate build, test, and deployment stages 2. Manage pipeline secrets and credentials 3. Enforce security scanning and compliance checks - Optimize and maintain pipelines 1. Monitor pipeline performance 2. Handle rollbacks and versioning 3. Improve speed and reliability - Design CI/CD pipelines 1. Plan pipelines for apps, infrastructure, ML workloads 2. Support hybrid/multi-cloud deployment 3. Integrate artifact management
Topic 2: Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Analyze performance and latency 2. Isolate problems across layers 3. Trace requests end-to-end - Optimize observability strategy 1. Reduce noise and prioritize signals 2. Integrate observability into development 3. Scale monitoring for large environments - Build monitoring and logging systems 1. Create dashboards and alerts 2. Collect and analyze metrics, logs, traces 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace
Topic 3: Optimizing performance and cost	17%	- Apply FinOps practices 1. Monitor and analyze cloud costs 2. Right-size resources and eliminate waste 3. Use spot instances and committed use discounts - Improve system performance 1. Use caching and content delivery 2. Tune applications and infrastructure 3. Optimize resource allocation - Balance cost, performance, and reliability 1. Make tradeoff decisions based on data 2. Plan capacity and scaling 3. Optimize over time
Topic 4: Bootstrapping and maintaining a Google Cloud organization	20%	- Manage configuration and deployment 1. Automate resource provisioning 2. Use Infrastructure as Code tools 3. Enforce consistency across environments - Design resource hierarchy 1. Organize resources by project/folder/application 2. Define IAM policies and access control 3. Plan shared networking and connectivity - Set up governance and compliance 1. Configure audit logging and monitoring 2. Manage resource quotas and limits 3. Implement organization policies
Topic 5: Applying site reliability engineering practices	18%	- Design for resilience 1. Automate remediation and self-healing 2. Test failure scenarios and recovery 3. Plan redundancy and fault tolerance - 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. Perform postmortems and root cause analysis 3. Implement improvements to prevent recurrence

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q107-Q112):

質問 # 107
You are leading a DevOps project for your organization. The DevOps team is responsible for managing the service infrastructure and being on-call for incidents. The Software Development team is responsible for writing, submitting, and reviewing code. Neither team has any published SLOs. You want to design a new joint-ownership model for a service between the DevOps team and the Software Development team. Which responsibilities should be assigned to each team in the new joint-ownership model?

A. DevOps team responsibilitiesShared responsibilities for code reviewsSoftware Development team responsibilitiesManage the service infrastructureBe on-call for incidents on a rotation basisAdopt and publish SLOs for the serviceSubmit code to be reviewed
B. DevOps team responsibilitiesManage the service infrastructurePerform code reviewsSoftware Development team responsibilitiesSubmit code to be reviewed by the DevOps teamBe on-call for incidentsPublish the SLOs that the DevOps team must meet
C. DevOps team responsibilitiesManage the service infrastructureBe on-call for incidentsSoftware Development team responsibilitiesAdopt and publish SLOs for the serviceSubmit code to be reviewedShared responsibilities for code reviews
D. DevOps team responsibilitiesManage the service infrastructureBe on-call for incidentsPerform code reviewsSoftware Development team responsibilitiesSubmit code to be reviewed by the DevOps teamPublish the SLOs that the DevOps team must meet

正解：C

質問 # 108
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

A. Create an incident report for each of the alerts.
B. Redefine the related Service Level Objective so that the error budget is not exhausted.
C. Eliminate unactionable alerts.
D. Distribute the alerts to engineers in different time zones.

正解：C

質問 # 109
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 - 100ms
95th percentile - 250ms
C. 90th percentile - 120ms
95th percentile - 275ms
D. 90th percentile - 150ms
95th percentile - 300ms

正解：D

解説：
Explanation
https://sre.google/sre-book/service-level-objectives/

質問 # 110
You recently deployed your application in Google Kubernetes Engine (GKE) and now need to release a new version of the application You need the ability to instantly roll back to the previous version of the application in case there are issues with the new version Which deployment model should you use?

A. Perform a rolling deployment and test your new application after the deployment is complete
B. Perform a testing, and test your application periodically after the deployment is complete
C. Perform a canary deployment, and test your new application periodically after the new version is deployed
D. Perform a blue/green deployment and test your new application after the deployment is complete

正解：D

解説：
The best deployment model for releasing a new version of your application in GKE with the ability to instantly roll back to the previous version is to perform a blue/green deployment and test your new application after the deployment is complete. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can minimize downtime and risk during deployment.

質問 # 111
You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do?
Choose 2 answers

A. 17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.
B. Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.
C. Examine the heap usage Of the application. If the usage is low, mark the application for optimization.
D. O Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.
E. Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.

正解：D、E

解説：
The correct answers are A and D)
Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the CPU resource allocation. This is a good way to determine if the application is CPU-bound, meaning that it spends more time waiting for the CPU than performing actual computation. Increasing the CPU resource allocation can improve the performance of CPU-bound applications1.
Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization. This is a good way to determine if the application is I/O-bound, meaning that it spends more time waiting for input/output operations than performing actual computation. Increasing the CPU resource allocation will not help I/O-bound applications, and they may need optimization to reduce the number or duration of I/O operations2.
Answer B is incorrect because increasing the memory resource allocation will not help if the application is CPU-bound or I/O-bound. Memory allocation affects how much data the application can store and access in memory, but it does not affect how fast the application can process that data.
Answer C is incorrect because increasing the local disk storage allocation will not help if the application is CPU-bound or I/O-bound. Disk storage affects how much data the application can store and access on disk, but it does not affect how fast the application can process that data.
Answer E is incorrect because examining the heap usage of the application will not help to determine if the application needs performance tuning. Heap usage affects how much memory the application allocates for dynamic objects, but it does not affect how fast the application can process those objects. Moreover, low heap usage does not necessarily mean that the application is inefficient or unoptimized.

質問 # 112
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