Professional-Cloud-DevOps-Engineer合格率、Professional-Cloud-DevOps-Engineer全真模擬試験

P.S. JPNTestがGoogle Driveで共有している無料かつ新しいProfessional-Cloud-DevOps-Engineerダンプ：https://drive.google.com/open?id=1Toc_Igm75j9bfTJ-DeumBz552zR8XIhH

あなたはGoogleのProfessional-Cloud-DevOps-Engineerの資料を探すのに悩んでいますか。心配しないでください。私たちを見つけるのはあなたのGoogleのProfessional-Cloud-DevOps-Engineer試験に合格する保障からです。数年以来IT認証試験のためのソフトを開発している我々JPNTestチームは国際的に大好評を博しています。我々はGoogleのProfessional-Cloud-DevOps-Engineerのような重要な試験を準備しているあなたに一番全面的で有効なヘルプを提供します。

JPNTestの専門家チームが彼ら自分の知識と経験を使って多くの人の夢が実現させるIT関連の認証試験の問題集を研究し続けています。JPNTestが提供したGoogleのProfessional-Cloud-DevOps-Engineer試験問題と解答が真実の試験の練習問題と解答は最高の相似性があります。JPNTestがあなたの夢が実現させるサイトでございます。

>> Professional-Cloud-DevOps-Engineer合格率 <<

どのようにGoogle Professional-Cloud-DevOps-Engineer認定試験の準備をしているか

偉大な事業を実現するために信心を持つ必要があります。あなたは自分の知識レベルを疑っていて試験の準備をする前に詰め込み勉強しているときに、自分がどうやって試験に受かることを確保するかを考えましたか。心配しないでください。JPNTestはあなたがGoogleのProfessional-Cloud-DevOps-Engineer認定試験に合格する確保です。JPNTest のトレーニング試験は問題と解答に含まれています。しかも１００パーセントの合格率を保証できます。JPNTestのGoogleのProfessional-Cloud-DevOps-Engineer試験トレーニング資料を手に入れたら、あなたは自分の第一歩を進めることができます。試験に合格してから、あなたのキャリアは美しい時期を迎えるようになります。

Google Professional-Cloud-Devops-Enginer認定試験は、Google CloudプラットフォームでDevOpsプラクティスを実装する専門知識を実証しようとしている専門家にとって非常に人気のある認定です。この認定は、Googleクラウドプラットフォームツールとサービスを使用してアプリケーションを構築、展開、および管理するために必要なスキルと知識を検証します。

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q164-Q169):

質問 # 164
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

A. Your application servers' logs

B. A synthetic client that periodically sends simulated user requests

C. Instrumentation coded directly in the client

D. Metrics exported from the application servers

E. GKE health checks for your application servers

正解：D、E

質問 # 165
The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

A. Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

B. Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues

C. Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues

D. Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics

正解：D

解説：
Explanation
The best option for deploying a new version of your containerized application to production on GKE and ensuring that the application does not have performance problems after deployment is to deploy the application through a continuous delivery pipeline by using canary deployments, use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics. A canary deployment is a deployment strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test the new version in the production environment with real traffic and load, and gradually increase the traffic as the metrics indicate. You can use Cloud Monitoring to collect and analyze metrics from your application and GKE cluster, such as latency, error rate, CPU utilization, and memory usage. You can also use Cloud Monitoring to set up alerts and dashboards to track the performance of your application.

質問 # 166
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.

B. Use Cloud Build to trigger a Spinnaker pipeline.

C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.

D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

正解：C

解説：
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/

質問 # 167
Your organization uses a change advisory board (CAB) to approve all changes to an existing service You want to revise this process to eliminate any negative impact on the software delivery performance What should you do?
Choose 2 answers

A. Let developers merge their own changes but ensure that the team's deployment platform can roll back changes if any issues are discovered

B. Ensure that the team's development platform enables developers to get fast feedback on the impact of their changes

C. Replace the CAB with a senior manager to ensure continuous oversight from development to deployment

D. Move to a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests

E. Batch changes into larger but less frequent software releases

正解：B、D

解説：
A change advisory board (CAB) is a traditional way of approving changes to a service, but it can slow down the software delivery performance and introduce bottlenecks. A better way to improve the speed and quality of changes is to use a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests. This way, developers can get fast feedback on the impact of their changes and catch any errors or bugs before they reach production. Additionally, the team's development platform should enable developers to get fast feedback on the impact of their changes, such as using Cloud Code, Cloud Build, or Cloud Debugger.

質問 # 168
Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?

A. Use the metrics from Anthos Service Mesh to measure the health of the microservices

B. Create a SLO Create an Alert Policy on select_slo_bum_rate

C. Create SLIs from metrics Enable Alert Policies if the services do not pass

D. Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass

正解：B

解説：
Explanation
The best option for detecting consumption of an error budget to protect customers and define release policies is to create a service level objective (SLO) and create an alert policy on select_slo_burn_rate. A SLO is a target value or range of values for a service level indicator (SLI) that measures some aspect of the service quality, such as availability or latency. An error budget is the amount of time or number of errors that a service can tolerate while still meeting its SLO. A select_slo_burn_rate is a metric that indicates how fast the error budget is being consumed by the service. By creating an alert policy on select_slo_burn_rate, you can trigger notifications or actions when the error budget consumption exceeds a certain threshold. This way, you can balance change, velocity, and reliability of the service by adjusting the release policies based on the error budget status.

質問 # 169
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顧客様と販売者の間での信頼性は苦労かつ大切なことだと良く知られます。誠意をみなぎるGoogle　Professional-Cloud-DevOps-Engineer試験備考資料は我々チームの専業化を展示されるし、最完全の質問と再詳細の解説でもって試験に合格するのを助けるます。同時的に、皆様の認可は我々仕事の一番良い評価です。

Professional-Cloud-DevOps-Engineer全真模擬試験: https://www.jpntest.com/shiken/Professional-Cloud-DevOps-Engineer-mondaishu

Google Professional-Cloud-DevOps-Engineer合格率もしそうしたら、そんなに困ってなくてもいいです、Google Professional-Cloud-DevOps-Engineer合格率本当問題の最も賢明な選択、Google Professional-Cloud-DevOps-Engineer合格率 SWREGには、知的財産税などの追加税がかかります、GoogleのProfessional-Cloud-DevOps-Engineer試験のための資料がたくさんありますが、JPNTestの提供するのは一番信頼できます、Professional-Cloud-DevOps-Engineer認定試験は現在で本当に人気がある試験ですね、時間を節約し、Professional-Cloud-DevOps-Engineer学習教材であなたの成功を保証することは、私たちにとって最大の見返りです、JPNTestは実環境であなたの本当のGoogle Professional-Cloud-DevOps-Engineer試験に準備するプロセスを見つけられます。

湯山は日頃から、あまり彼女を会っている様子はなかった、グーグルの配達補Professional-Cloud-DevOps-Engineer足として、私は右に描かれているグーグルの同日ロゴが本当に好きです、もしそうしたら、そんなに困ってなくてもいいです、本当問題の最も賢明な選択。

Professional-Cloud-DevOps-Engineer試験の準備方法｜効果的なProfessional-Cloud-DevOps-Engineer合格率試験｜完璧なGoogle Cloud Certified - Professional Cloud DevOps Engineer Exam全真模擬試験

SWREGには、知的財産税などの追加税がかかります、GoogleのProfessional-Cloud-DevOps-Engineer試験のための資料がたくさんありますが、JPNTestの提供するのは一番信頼できます、Professional-Cloud-DevOps-Engineer認定試験は現在で本当に人気がある試験ですね。