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最新-正確的なProfessional-Cloud-DevOps-Engineer復習解答例試験-試験の準備方法Professional-Cloud-DevOps-Engineer日本語版試験解答
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>> Professional-Cloud-DevOps-Engineer復習解答例 <<
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q61-Q66):
質問 # 61
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:
The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?
- A. Change the selector on the Service app-2vc to app: my-app.
- B. Update the Deployment app-blue to use the new version of the application
- C. Update the Deployment ape-green to use the previous version of the application
- D. Change the selector on the Service app-svc to app: my-app, version: blue
正解:A
質問 # 62
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. 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. - 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.
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. - D. 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.
正解:D
質問 # 63
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. Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.
- B. Configure Cloud Profiler, and initialize the cloud.go@gle.com/go/profiler library in the application.
- C. Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
- D. Use Cloud Monitoring to assess the App Engine CPU utilization metric.
正解:B
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.
質問 # 64
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?
- A. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33% - B. MTTD:5
MTTR: 20
MTBF: 90
Impact: 50% - C. MTTD:5
MTTR: 10
MTBF: 90
Impact 50% - D. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
正解:D
解説:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/
質問 # 65
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. External Customer Communications Lead
- B. Communications Lead
- C. Operations Lead
- D. Engineering Lead
- E. Customer Impact Assessor
正解:A、C
質問 # 66
......
人生はさまざまな試しがある、人生の頂点にかからないけど、刺激のない生活に変化をもたらします。あなたは我々社の提供する質高いGoogle Professional-Cloud-DevOps-Engineer問題集を使用して、試験に参加します。もし無事にProfessional-Cloud-DevOps-Engineer試験に合格したら、あなたはもっと自信になって、更なる勇気でやりたいことをしています。
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