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Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

  • Implementation of Strategies for Service Monitoring

    Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.

  • Building & Implementation of CI/CD Pipelines for Services

    The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

  • Optimization of Service Performance

    Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.

  • Management of Service Incidents

    To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.

  • Application of Site Reliability Engineering Principles to Services

    This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

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

TopicDetails
Topic 1
  • Building and implementing CI
  • CD pipelines for a service: Management and designing of CI
  • CD pipelines, implementation of CI
  • CD pipelines, management of CI
  • CD configuration, and secrets are discussed in this paper. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI
  • CD deployment pipeline.
Topic 2
  • Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, and logging and monitoring access controls.
Topic 3
  • Optimizing the service performance: It delves into the identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.
Topic 4
  • Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI
  • CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.
Topic 5
  • Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication, and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Professional-Cloud-DevOps-Engineer日本語 exam preparation materials have a higher pass rate than products in the same industry. If you want to pass Professional-Cloud-DevOps-Engineer日本語 certification, then it is necessary to choose a product with a high pass rate. Our study materials guarantee the pass rate from professional knowledge, services, and flexible plan settings. According to user needs, Professional-Cloud-DevOps-Engineer日本語 exam prep provides everything possible to ensure their success. The 99% pass rate is the proud result of our study materials. If you join, you will become one of the 99%. I believe that pass rate is also a big criterion for your choice of products, because your ultimate goal is to obtain Professional-Cloud-DevOps-Engineer日本語 certification. In Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版) exam reference materials, you can do it.

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Google Professional Cloud DevOps Engineer Certified Professional salary

The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:

  • United State: 151,00 USD
  • India: 25,00,000 INR
  • England: 130,500 POUND
  • Europe: 144,000 EURO

Flexible learning time

Do you worry about not having a long-term fixed study time? Do you worry about not having a reasonable plan for yourself? Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版) exam reference materials will solve this problem for you. Based on your situation, including the available time, your current level of knowledge, our study materials will develop appropriate plans and learning materials. You can use Professional-Cloud-DevOps-Engineer日本語 test questions when you are available, to ensure the efficiency of each use, this will have a very good effect. You don't have to worry about yourself or anything else. Our study materials allow you to learn at any time. Regardless of your identity, what are the important things to do in Professional-Cloud-DevOps-Engineer日本語 exam prep, when do you want to learn when to learn?

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Test Structure

The candidates who want to take this Google exam will have two hours to answer all questions. Even though the vendor doesn’t give details on the total number of questions that the examinees will receive, they should be prepared to solve multiple-choice and multiple-answer inquiries. Besides, the test is delivered in the English language only. As for the registration fee, the test-takers will need to pay $200 to take it. Additional taxes may apply depending on the candidate’s profile and chosen delivery method. By and large, the applicants have two options to take the official exam. They can choose to take it online from any remote location that they prefer. If they choose this option, the candidates should read carefully what the testing requirements are. In case applicants prefer to be present in a classroom when they take the actual testing, then they can search for a test center that is closest to their location. Also, Google doesn’t have any prerequisites for the candidates to be eligible for the evaluation. Still, it recommends that the candidates for the Professional Cloud DevOps Engineer exam should have at least 3 years of experience in the industry including a minimum of one year of experience in managing and developing solutions on GCP.

Easy to understand language form

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer日本語版) Sample Questions:

あなたの会社は、Pub/Sub、App Engine スタンダード環境、GO で書かれたアプリケーションを使用して、IoT データを大規模に処理しています。ピーク負荷時にパフォーマンスが一貫して低下していることに気づきました。ワークステーションではこの問題を再現できませんでした。コード内の遅いパスを特定するには、運用環境のアプリケーションを継続的に監視する必要があります。パフォーマンスへの影響と管理オーバーヘッドを最小限に抑えたいと考えています。あなたは何をするべきか?

  • A. アプリケーション インスタンスに対して go tool pprof コマンドを定期的に実行します。フレーム グラフを使用して結果を分析します。
  • B. 継続的プロファイリング ツールを Compute Engine にインストールします。プロファイリング データをツールに送信するようにアプリケーションを構成します。
  • C. Cloud Profiler を構成し、アプリケーション内の[email protected]/go/profiler ライブラリを初期化します。
  • D. Cloud Monitoring を使用して、App Engine の CPU 使用率指標を評価します。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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貴社では本番環境システムをGoogle Cloudに移行中です。将来起こり得るインシデントによる顧客への影響を最小限に抑えるため、移行期間中はサイト信頼性エンジニアリング(SRE)のプラクティスを実装する必要があります。実装すべきSREプラクティスを2つ挙げてください。
2つの回答を選択してください

  • A. システムの内部動作に基づいて、SRE チーム向けのアラート メカニズムを作成します。
  • B. すべてのチームが本番環境を変更して問題を解決できるようにします。
  • C. 完全な自律性と権限がオンコール チームにのみ付与されるようにします。
  • D. 一般的なタスクを自動化して主要な影響情報を分析し、オンコール チームに緩和アクションをインテリジェントに提案します。
  • E. 問題のデバッグと軽減の手順を記載した最新のプレイブックを作成します。
Reveal Solution  Discussion  0

Correct Answer: D,E  🗳️

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あなたは、サービスの 1 つで進行中のインシデントのオペレーション リーダーです。サービスは通常、約 70% の容量で実行されます。1 つのノードがすべてのリクエストに対して 5xx エラーを返していることがわかります。顧客からのサポートケースも顕著に増加しています。ノードを隔離して調査できるように、問題のノードをロード バランサー プールから削除する必要があります。あなたは、Google が推奨する方法に従ってインシデントを管理し、ユーザーへの影響を軽減したいと考えています。あなたは何をするべきか?

  • A. 1. インシデント チームに意図を伝えます。
    2. 負荷分析を実行して、削除されたノードからオフロードされるトラフィックの増加を残りのノードが処理できるかどうかを判断し、適切にスケーリングします。
    3. 新しいノードが正常であると報告されたら、異常なノードからトラフィックを排出し、異常なノードをサービスから削除します。
  • B. 1 。異常なノードからトラフィックを排出し、古いノードをサービスから削除します。
    2. 新しいノードをプールに追加し、新しいノードが正常であると報告されるまで待ち、新しいノードにトラフィックを提供します。
    3. トラフィックを監視して、プールが正常であり、トラフィックが適切に処理されていることを確認します。
    4. 自分の行動をインシデントチームに伝えます。
  • C. 1.異常なノードからトラフィックを排出し、ノードをサービスから削除します。
    2. トラフィックを監視して、エラーが解決されていること、およびプール内の他のノードがトラフィックを適切に処理していることを確認します。
    3. 新しい負荷を処理するために、必要に応じてプールをスケーリングします。
    4. 自分の行動をインシデントチームに伝えます。
  • D. 1. インシデント チームに意図を伝えます。
    2. 新しいノードをプールに追加し、新しいノードが正常であると報告されるまで待ちます。
    3. 新しいノードでトラフィックが処理されている場合は、異常なノードからトラフィックを排出し、古いノードをサービスから削除します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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グローバル組織で働いており、Compute Engine でモノリシック アプリケーションを実行している場合 最小限のステップ数で CPU 使用率を最適化する、使用するアプリケーションのマシンタイプを選択する必要がある 過去のシステム メトリックを使用してマシン タイプを識別したい使用するアプリケーションについて Google が推奨する方法に従いたい場合はどうすればよいですか?

  • A. VM の Cloud Monitoring ダッシュボードを確認し、CPU 使用率が最も低いマシンタイプを選択します。
  • B. すべての VM に Ops エージェントを自動的にインストールするエージェント ポリシーを作成します。
  • C. gcloud CLI を使用して VM のフリートに Ops エージェントをインストールする
  • D. Recommender API を使用し、提案された推奨事項を適用します。
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Compute Engine にデプロイされたアプリケーションをサポートしているとします。アプリケーションは Cloud SQL インスタンスに接続してデータを保存および取得します。アプリケーションを更新した後、ユーザーはデータベース タイムアウト メッセージを示すエラーを報告します。同時アクティブ ユーザー数は安定していました。データベース タイムアウトの最も可能性の高い原因を見つける必要があります。あなたは何をするべきか?

  • A. Cloud SQL インスタンスへの接続数が増加しているかどうかを判断します。
  • B. Compute Engine インスタンスのシリアル ポート ログを確認します。
  • C. Stackdriver Profiler を使用して、アプリケーション全体のリソース使用率を視覚化します。
  • D. Cloud Security Scanner を使用して、Cloud SQL が分散型サービス拒否 (DDoS) 攻撃を受けているかどうかを確認します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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