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[General] Professional-Cloud-DevOps-Engineer日本語的中対策 & Professional-Cloud-DevOps-Engine

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【General】 Professional-Cloud-DevOps-Engineer日本語的中対策 & Professional-Cloud-DevOps-Engine

Posted at yesterday 16:46      View：12 | Replies：0        Print      Only Author   [Copy Link] 1#
2026年Jpshikenの最新Professional-Cloud-DevOps-Engineer PDFダンプおよびProfessional-Cloud-DevOps-Engineer試験エンジンの無料共有：https://drive.google.com/open?id=1IkW_6iCCwE7epFgCAJOyt0CLfffT6z8e
弊社はProfessional-Cloud-DevOps-Engineer問題集の英語版と日本語版をリリースしています。英語版と日本語版の内容は同じですけど、言語だけ違いがあります。それなので、Professional-Cloud-DevOps-Engineerに関する英語試験や日本語試験に参加する予定があるご客様は安心に問題集を購入できます。Professional-Cloud-DevOps-Engineer試験のために、気楽に準備したり、参加したりしています。その他、我々のProfessional-Cloud-DevOps-Engineer日本語問題集を購入すると、英語版を送ります。
Google Professional-Cloud-Devops-Engineer試験は、Google Cloudプラットフォーム上のDevOps Engineeringの分野での専門家のスキルと知識を検証するために設計された認定プログラムです。この試験は、DevOpsの実践で経験があり、スケーラブルで信頼性の高いクラウドソリューションの設計、構築、維持の専門知識を持っている個人を対象としています。
Google Professional-Cloud-DevOps-Engineer（Google Cloud Certified - Professional Cloud DevOps Engineer）認定試験は、テクノロジー業界で非常に求められる認定試験です。この認定試験は、クラウドベースのアプリケーション、サービス、インフラストラクチャの開発、展開、管理に関与する専門家を対象としています。この試験は、クラウドアーキテクチャ、自動化、セキュリティ、コンプライアンス、監視など、様々な領域での候補者の知識とスキルをテストするよう設計されています。
Professional-Cloud-DevOps-Engineer資料勉強 & Professional-Cloud-DevOps-Engineer試験解説問題我々社のGoogle Professional-Cloud-DevOps-Engineer問題集を購入するかどうかと疑問があると、弊社JpshikenのProfessional-Cloud-DevOps-Engineer問題集のサンプルをしてみるのもいいことです。試用した後、我々のProfessional-Cloud-DevOps-Engineer問題集はあなたを試験に順調に合格させると信じられます。なぜと言うのは、我々社の専門家は改革に応じて問題の更新と改善を続けていくのは出発点から勝つからです。
試験の準備には、Google Cloudが提供するオンラインコース、模擬試験、および学習ガイドなどの様々なリソースを活用することができます。さらに、Google Cloudのプロジェクトに取り組んだり、オンラインフォーラムやコミュニティに参加することで、実践的な経験を積むことができます。
Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q59-Q64):質問 # 59
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?
  • A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
  • B. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
  • C. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
  • D. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
正解：B
解説：
Explanation
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

質問 # 60
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?
  • A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
  • B. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
  • C. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
  • D. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
正解：B
解説：
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

質問 # 61
You have deployed a fleet Of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?
  • A. Grant the logging. logWriter and monitoring. metricWriter roles to the Compute Engine service accounts.
  • B. Grant the logging. logwriter and monitoring. editor roles to the Compute Engine service accounts.
  • C. Grant the Logging. admin and monitoring . editor roles to the Compute Engine service accounts.
  • D. Grant the logging.editor and monitoring.metricwriter roles to the Compute Engine service accounts.
正解：A
解説：
Explanation
The correct answer is D. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.
According to the Google Cloud documentation, the Compute Engine service account is a Google-managed service account that is automatically created when you enable the Compute Engine API1. This service account is used by default to run your Compute Engine instances and access other Google Cloud services on your behalf1. To ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring, you need to grant the following IAM roles to the Compute Engine service account23:
The logging.logWriter role allows the service account to write log entries to Cloud Logging4.
The monitoring.metricWriter role allows the service account to write custom metrics to Cloud Monitoring5.
These roles grant the minimum permissions that are needed for logging and monitoring, following the principle of least privilege. The other roles are either unnecessary or too broad for this purpose. For example, the logging.editor role grants permissions to create and update logs, log sinks, and log exclusions, which are not required for writing log entries6. The logging.admin role grants permissions to delete logs, log sinks, and log exclusions, which are not required for writing log entries and may pose a security risk if misused. The monitoring.editor role grants permissions to create and update alerting policies, uptime checks, notification channels, dashboards, and groups, which are not required for writing custom metrics.

質問 # 62
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Of your applications. You need to test against the full production load before your applications are launched. What should you do?
  • A. Use canary testing with continuous deployment.
  • B. Use A/B testing with blue/green deployment.
  • C. Use shadow testing with continuous deployment.
  • D. Use canary testing with rolling updates deployment,
正解：C
解説：
Explanation
The correct answer is B. Use shadow testing with continuous deployment.
Shadow testing is a deployment technique that involves routing a copy of the live traffic to a new version of the application, without affecting the production environment. This way, you can gather performance metrics and compare them with the current version, without exposing the new version to the users. Shadow testing can help you test against the full production load and identify any issues or bottlenecks before launching the new version. You can use continuous deployment to automate the process of deploying the new version after it passes the shadow testing.

質問 # 63
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 - 100ms95th percentile - 250ms
  • B. 90th percentile - 250ms95th percentile - 400ms
  • C. 90th percentile - 150ms95th percentile - 300ms
  • D. 90th percentile - 120ms95th percentile - 275ms
正解：C
解説：
https://sre.google/sre-book/service-level-objectives/

質問 # 64
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Professional-Cloud-DevOps-Engineer資料勉強: https://www.jpshiken.com/Professional-Cloud-DevOps-Engineer_shiken.html
無料でクラウドストレージから最新のJpshiken Professional-Cloud-DevOps-Engineer PDFダンプをダウンロードする：https://drive.google.com/open?id=1IkW_6iCCwE7epFgCAJOyt0CLfffT6z8e
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