Professional-Cloud-DevOps-Engineer受験対策解説集 & Professional-Cloud-DevOps-Engineer技術試験

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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
Exam Price:	$200 (plus tax where applicable)
Passing Score:	Not publicly disclosed
Exam Duration:	120 minutes
Related Certifications:	Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Developer Professional Cloud Network Engineer
Real Exam Qty:	50-60
Available Languages:	Japanese, English
Exam Format:	Multiple choice, Multiple select
Certificate Validity Period:	2 years
Recommended Training:	Exam Guide Professional Cloud DevOps Engineer Learning Path
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受験対策解説集 <<

Professional-Cloud-DevOps-Engineer技術試験 & Professional-Cloud-DevOps-Engineer試験時間

優れたProfessional-Cloud-DevOps-Engineer試験問題を使用すると、Professional-Cloud-DevOps-Engineer認定資格を取得して自分自身を向上させ、より良い未来とより良い未来を実現することができます。 Professional-Cloud-DevOps-Engineerトレーニングガイドを使用すると、職業で認められます。 Professional-Cloud-DevOps-Engineer試験のブレーンダンプは、より大きな会社に注目させる能力を証明できます。その後、より良い仕事を取得し、適切な職場に行くための選択肢があります。 Professional-Cloud-DevOps-Engineer試験問題を試してみてはいかがですか。Professional-Cloud-DevOps-Engineer試験問題が最高の準備資料であることに驚かれることでしょう。

Google Professional-Cloud-Devops-Enginer認定を獲得することで、雇用主に、DevOpsのプラクティスでクラウドテクノロジーを効果的に管理するために必要なスキルと知識があることを雇用主に実証できます。この認定は、クラウドの専門家にとってより良い雇用機会とより高い給与にもつながる可能性があります。

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q126-Q131):

質問 # 126
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. 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.
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.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.
D. 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.

正解：D

質問 # 127
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

A. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
B. Establish a communication channel where incident responders and leads can communicate with each other.
C. Look for ways to mitigate user impact and deploy the mitigations to production.
D. Contact the affected service owners and update them on the status of the incident.

正解：C

解説：
Explanation
https://sre.google/sre-book/managing-incidents/

質問 # 128
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. You want to prevent these fields from being written in new log entries as quickly as possible. What should you do?

A. Stage log entries to Cloud Storage, and then trigger a Cloud Function to remove the fields and write the entries to Stackdriver via the Stackdriver Logging API.
B. Use the filter-record-transformer Fluentd filter plugin to remove the fields from the log entries in flight.
C. Wait for the application developers to patch the application, and then verify that the log entries are no longer exposing PII.
D. Use the fluent-plugin-record-reformer Fluentd output plugin to remove the fields from the log entries in flight.

正解：D

質問 # 129
Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

A. Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.
B. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments
C. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments
D. Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions to correct the drifts

正解：C

解説：
The best option for ensuring that the three environments are consistent and following Google-recommended practices is to use Cloud Build to render and deploy the network policies and the DaemonSet, and set up Config Sync to sync the configurations for the three environments. Cloud Build is a service that executes your builds on Google Cloud infrastructure. You can use Cloud Build to render and deploy your network policies and DaemonSet as code using tools like Kustomize, Helm, or kpt. Config Sync is a feature that enables you to manage the configurations of your GKE clusters from a single source of truth, such as a Git repository. You can use Config Sync to sync the configurations for your development, staging, and production environments and ensure that they are consistent.

質問 # 130
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

A. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
B. Use the Recommender API and apply the suggested recommendations
C. Create an Agent Policy to automatically install Ops Agent in all VMs
D. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization

正解：B

質問 # 131
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