Professional-Cloud-DevOps-Engineer合格対策、Professional-Cloud-DevOps-Engineer資格模擬

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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Applying site reliability engineering practices | 18% | - Manage incidents and outages
- 1. Perform postmortems and root cause analysis
- 2. Detect and respond to issues quickly
- 3. Implement improvements to prevent recurrence
- Define reliability goals
- 1. Establish SLIs, SLOs, SLAs
- 2. Use error budgets to balance change and stability
- 3. Align reliability with business needs
- Design for resilience
- 1. Test failure scenarios and recovery
- 2. Plan redundancy and fault tolerance
- 3. Automate remediation and self-healing
|
| Implementing observability and troubleshooting | 20% | - Troubleshoot complex issues
- 1. Analyze performance and latency
- 2. Isolate problems across layers
- 3. Trace requests end-to-end
- Build monitoring and logging systems
- 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace
- 2. Create dashboards and alerts
- 3. Collect and analyze metrics, logs, traces
- Optimize observability strategy
- 1. Integrate observability into development
- 2. Reduce noise and prioritize signals
- 3. Scale monitoring for large environments
|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - 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. Manage resource quotas and limits
- 2. Implement organization policies
- 3. Configure audit logging and monitoring
- Manage configuration and deployment
- 1. Enforce consistency across environments
- 2. Use Infrastructure as Code tools
- 3. Automate resource provisioning
|
| Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
- 1. Automate build, test, and deployment stages
- 2. Enforce security scanning and compliance checks
- 3. Manage pipeline secrets and credentials
- Optimize and maintain pipelines
- 1. Monitor pipeline performance
- 2. Handle rollbacks and versioning
- 3. Improve speed and reliability
- Design CI/CD pipelines
- 1. Integrate artifact management
- 2. Plan pipelines for apps, infrastructure, ML workloads
- 3. Support hybrid/multi-cloud deployment
|
| Optimizing performance and cost | 17% | - Improve system performance
- 1. Optimize resource allocation
- 2. Tune applications and infrastructure
- 3. Use caching and content delivery
- Apply FinOps practices
- 1. Monitor and analyze cloud costs
- 2. Right-size resources and eliminate waste
- 3. Use spot instances and committed use discounts
- Balance cost, performance, and reliability
- 1. Plan capacity and scaling
- 2. Make tradeoff decisions based on data
- 3. Optimize over time
|
>> Professional-Cloud-DevOps-Engineer合格対策 <<
Professional-Cloud-DevOps-Engineer資格模擬、Professional-Cloud-DevOps-Engineer関連復習問題集
テストに関する最も有用で効率的なProfessional-Cloud-DevOps-Engineerトレーニング資料を提供するために最善を尽くし、クライアントが効率的に学習できるように複数の機能と直感的な方法を提供します。 Professional-Cloud-DevOps-Engineerの有用なテストガイドを学習すれば、時間と労力はほとんどかかりません。合格率とヒット率はともに高いため、テストに合格するための障害はほとんどありません。 Webで紹介を読んだ後、Professional-Cloud-DevOps-Engineer学習実践ガイドをさらに理解できます。
Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q22-Q27):
質問 # 22
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?
- A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
- B. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
- C. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
- D. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
正解:A
質問 # 23
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. Engineering Lead
- B. Operations Lead
- C. Communications Lead
- D. External Customer Communications Lead
- E. Customer Impact Assessor
正解:B、E
質問 # 24
You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?
- A. Premium Tier with a regional load balancer
- B. Premium Tier with a global load balancer
- C. Standard Tier with a regional load balancer
- D. Standard Tier with a global load balancer
正解:A
解説:
Explanation
The most cost-effective network tier and load balancing configuration for your frontend tier is to use Premium Tier with a regional load balancer. Premium Tier is a network tier that provides high-performance and low-latency network connectivity across Google's global network. A regional load balancer is a load balancer that distributes traffic within a single region. Since your application is deployed entirely within the europe-west2 region and only serves users based in the United Kingdom, you can use Premium Tier with a regional load balancer to optimize the network performance and cost.
質問 # 25
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
- A. Reference the image digest in the source control tag.
- B. Use Cloud Build to include the release version tag in the application image.
- C. Supply the source control tag as a parameter within the image name.
- D. Use GCR digest versioning to match the image to the tag in source control.
正解:C
質問 # 26
Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead.
What should you do?
- A. Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
- B. Use Cloud Monitoring to assess the App Engine CPU utilization metric.
- C. Configure Cloud Profiler, and initialize the cloud.go@gle.com/go/profiler library in the application.
- D. Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.
正解:C
解説:
The correct answer is C. Configure Cloud Profiler, and initialize the cloud.google.com/go/profiler library in the application.
According to the Google Cloud documentation, Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications1.
Cloud Profiler can help you identify slow paths in your code and optimize the performance of your applications. Cloud Profiler supports applications written in Go that run on App Engine standard environment2. To use Cloud Profiler, you need to configure it in your Google Cloud project and initialize the cloud.google.com/go/profiler library in your application code3. You can then use the Cloud Profiler interface to analyze the profiling data and visualize the results by using flame graphs4. Cloud Profiler has minimal performance impact and management overhead, as it only samples a small fraction of the application activity and does not require any additional infrastructure or agents.
The other options are incorrect because they do not meet the requirements of minimizing performance impact and management overhead. Option A is incorrect because it requires installing a continuous profiling tool into Compute Engine, which is an additional infrastructure that needs to be managed and maintained. Option B is incorrect because it requires periodically running the go tool pprof command against the application instance, which is a manual and disruptive process that can affect the application performance. Option D is incorrect because it only uses Cloud Monitoring to assess the App Engine CPU utilization metric, which is not enough to identify slow paths in the code or optimize the application performance.
Reference:
Cloud Profiler documentation, Overview. Profiling Go applications, Supported environments. Profiling Go applications, Using Cloud Profiler. Analyzing data, Analyzing data.
質問 # 27
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