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分厚い教科書を読む時間のない方におすすめProfessional-Cloud-DevOps-Engineer試験問題

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試験の資格を得るには、候補者は、ソフトウェア開発、システム運用、またはその他の関連分野で少なくとも3年間の業界経験を持ち、クラウドコンピューティングの概念とテクノロジーを十分に理解する必要があります。また、Compute Engine、Kubernetes Engine、Cloud Storage、Cloud SQL、Cloud Functions、Stackdriverなど、GCPツールやサービスで実践的な経験を積む必要があります。さらに、候補者は、継続的な統合/継続配信（CI/CD）、コードとしてのインフラストラクチャ（IAC）、構成管理などのDevOpsの方法論と実践に精通している必要があります。認定試験は、複数選択の質問、シナリオベースの質問、パフォーマンスベースのタスクで構成されており、70％以上の合格スコアが必要です。

>> Professional-Cloud-DevOps-Engineerミシュレーション問題 <<

Professional-Cloud-DevOps-Engineer日本語版試験解答、Professional-Cloud-DevOps-Engineer模擬試験問題集

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q131-Q136):

質問 # 131
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

A. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
B. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
C. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity
D. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

正解：A

解説：
Explanation
The best option for preparing to handle the predicted growth is to verify the maximum node pool size, enable a Horizontal Pod Autoscaler, and then perform a load test to verify your expected resource needs. The maximum node pool size is a parameter that specifies the maximum number of nodes that can be added to a node pool by the cluster autoscaler. You should verify that the maximum node pool size is sufficient to accommodate your expected growth rate and avoid hitting any quota limits. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. You should enable a Horizontal Pod Autoscaler for your application to ensure that it runs enough Pods to handle the load. A load test is a test that simulates high user traffic and measures the performance and reliability of your application. You should perform a load test to verify your expected resource needs and identify any bottlenecks or issues.

質問 # 132
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

A. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
B. Review the design of the product with the product development team to provide feedback early in the design phase.
C. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.
D. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.

正解：B

解説：
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.

質問 # 133
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

A. Confirm that the application is using the required client library and the service account key has proper permissions.
B. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
C. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
D. Confirm that your account has the proper permissions to use the Stackdriver dashboard.

正解：C

解説：
Explanation
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist

質問 # 134
Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

A. Configure Google Cloud Managed Service for Prometheus
B. Configure Prometheus hierarchical federation for centralized data access
C. Configure Prometheus cross-service federation for centralized data access
D. Configure workload metrics within Cloud Operations for GKE

正解：A

質問 # 135
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?

A. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
B. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
C. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
D. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

正解：C

解説：
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html

質問 # 136
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Professional-Cloud-DevOps-Engineer日本語版試験解答: https://www.mogiexam.com/Professional-Cloud-DevOps-Engineer-exam.html

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