更新するProfessional-Cloud-DevOps-Engineer科目対策試験-試験の準備方法-100％合格率のProfessional-Cloud-DevOps-Engineer日本語版と英語版

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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Related Certifications:	Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Network Engineer Professional Cloud Developer
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Available Languages:	English, Japanese
Exam Price:	$200 (plus tax where applicable)
Exam Format:	Multiple select, Multiple choice
Real Exam Qty:	50-60
Passing Score:	Not publicly disclosed
Recommended Training:	Professional Cloud DevOps Engineer Learning Path Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-devops-engineer

>> Professional-Cloud-DevOps-Engineer科目対策 <<

Professional-Cloud-DevOps-Engineer日本語版と英語版 & Professional-Cloud-DevOps-Engineer試験対策

Professional-Cloud-DevOps-Engineer試験教材は、多くの人々がソフトパワーを向上させるのに役立ちました。彼らは同僚よりも効率的であるため、リーダーからより多くの注目を集めています。私たちは皆普通の専門家です。私たちは機会に値することを示すために力を示さなければなりません。 Professional-Cloud-DevOps-Engineer練習エンジンを使用することは、体力を改善するための最も重要なステップです。バタフライ効果のように、あなたの選択の1つがあなたの人生に影響するかもしれないことを知っています。また、Professional-Cloud-DevOps-Engineer試験の質問は、Professional-Cloud-DevOps-Engineer試験に合格して夢のような認定を取得するための適切な試験ツールとなります。

試験に備えるために、候補者は関連するトレーニングコースを受講し、公式の学習ガイドを読み、Google Cloud Platformを使用して練習することが勧められます。また、Docker、Kubernetes、Jenkins、TerraformなどのDevOpsツールやテクノロジーを使用して実践的な経験を持つことも重要です。適切な準備を行うことで、候補者はGoogle Professional-Cloud-DevOps-Engineer試験に合格し、IT業界で需要の高いクラウドDevOps専門家のエリートグループに参加できます。

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q187-Q192):

質問 # 187
You recently configured an App Hub application. You are able to see the managed instance group, backend service, and URL map listed in App Hub, but you do not see the forwarding rule. You must ensure that the forwarding rule is listed. What should you do?

A. Configure the forwarding rule to forward to the correct target proxy.
B. Attach the project containing the forwarding rule as an App Hub service project.
C. Enable the App Hub API in the project containing the forwarding rule.
D. Register the forwarding rule as a service in the application configuration.

正解：D

質問 # 188
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:5MTTR: 10MTBF: 90Impact 50%
B. MTTD: 5MTTR: 10MTBF: 90Impact: 33%
C. MTTD:5MTTR: 20MTBF: 90Impact: 50%
D. MTTD:5MTTR: 20MTBF: 90Impact: 33%

正解：D

質問 # 189
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Create new synthetic clients to simulate a user journey using the application.
B. Use current and historic Request Logs to trace customer interaction with the application.
C. Review current application metrics and add new ones as needed.
D. Analyze the web proxy logs only and capture response time of each request.
E. Modify the code to capture additional information for user interaction.

正解：A、B

解説：
Explanation
The most effective ways to measure application reliability from a user perspective without making any engineering changes are to create new synthetic clients to simulate a user journey using the application, and to use current and historic Request Logs to trace customer interaction with the application. These methods can help you monitor the availability, latency, and errors of your application from an end-user perspective .

質問 # 190
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
B. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
C. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
D. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

正解：C

質問 # 191
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
B. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
C. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
D. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

正解：C

解説：
https://sre.google/workbook/implementing-slos/
https://cloud.google.com/architecture/adopting-slos/
Latency is commonly measured as a distribution. Given a distribution, you can measure various percentiles.
For example, you might measure the number of requests that are slower than the historical 99th percentile.

質問 # 192
......

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