有難い-更新するProfessional-Cloud-DevOps-Engineer試験参考書試験-試験の準備方法Professional-Cloud-DevOps-Engineer模擬問題

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最新のProfessional-Cloud-DevOps-Engineer準備資料は、Professional-Cloud-DevOps-Engineer試験に最短時間で合格して、最も重要なテストの難易度をマスターし、学習効率を向上させたい場合に役立ちます。また、一生懸命勉強して、資格試験に合格し、Professional-Cloud-DevOps-Engineer証明書を取得することは、もはや夢ではありません。これらの条件で、あなたはインタビューから目立ち、あなたが待っていた仕事を得ることができます。ただし、リアルタイムの雇用プロセスでは、ユーザーも自分自身を豊かにすることを学び続ける必要があります。 Professional-Cloud-DevOps-Engineerの練習教材を学ぶには、勝利が近づいています。

Google Professional-Cloud-DevOps-Engineer試験は、クラウドベースのDevOpsエンジニアリング分野での知識とスキルを認定する認定試験です。この試験は、Google Cloud認定プログラムの一部であり、クラウドベースのソリューションで作業経験があり、DevOpsエンジニアリングにおける熟練度を証明する認定資格を取得したいプロフェッショナルを対象としています。

Google Professional-Cloud-DevOps-Engineerの試験は、クラウドベースのDevOpsエンジニアリングの様々な分野における候補者の知識とスキルを総合的に評価する試験です。この試験には多肢選択問題が含まれ、候補者は主題に対する深い理解を示す必要があります。この試験は、候補者の知識とスキルを実世界のシナリオに適用できる能力を評価するように設計されています。

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Google Professional-Cloud-DevOps-Engineer模擬問題、Professional-Cloud-DevOps-Engineerテキスト

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Professional-Cloud-DevOps-Engineer認定試験は、複数選択式の問題から構成され、受験者は2時間30分の時間を持って試験を受けることができます。試験はコンピュータベースであり、Google Cloud PartnerのテストセンターまたはProctorUプラットフォームを通じてオンラインで受験することができます。試験料は200ドルであり、受験者は70％以上のスコアで合格する必要があります。

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q117-Q122):

質問 # 117
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

A. Use Stackdriver Kubernetes Engine Monitoring.
B. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
C. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
D. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

正解：A

解説：
Explanation
https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring

質問 # 118
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. editor roles to the Compute Engine service accounts.
B. Grant the logging. logWriter and monitoring. metricWriter roles to the Compute Engine service accounts.
C. Grant the logging.editor and monitoring.metricwriter roles to the Compute Engine service accounts.
D. Grant the Logging. admin and monitoring . editor roles to the Compute Engine service accounts.

正解：C

質問 # 119
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Decrease the acknowledgment deadline on the subscription
B. Increase the Pod CPU and memory limits
C. Add a virtual queue to the online store that allows typical traffic levels
D. Increase the number of Pod replicas

正解：D

解説：
The best option for ensuring that the warehouse system accurately reflects product inventory at the time orders are placed and minimizing the impact on customers is to increase the number of Pod replicas.
Increasing the number of Pod replicas will increase the scalability and availability of your microservice, which will allow it to handle more Pub/Sub messages and update stock information faster. This way, you can reduce the backlog of undelivered messages and oldest unacknowledged message age, which are causing delays in updating product inventory. You can use Horizontal Pod Autoscaler or Cloud Monitoring metrics- based autoscaling to automatically adjust the number of Pod replicas based on load or custom metrics.

質問 # 120
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 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
B. 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.
C. 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
D. 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

正解：D

解説：
Explanation
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 # 121
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

A. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
B. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
C. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
D. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.

正解：D

解説：
https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging. https://cloud.google.com/logging/docs/agent/logging/configuration#configure

質問 # 122
......

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有難い-更新するProfessional-Cloud-DevOps-Engineer試験参考書試験-試験の準備方法Professional-Cloud-DevOps-Engineer模擬問題

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Google Professional-Cloud-DevOps-Engineer模擬問題、Professional-Cloud-DevOps-Engineerテキスト

Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q117-Q122):

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