Professional-Cloud-Architect合格体験談、Professional-Cloud-Architect認証pdf資料

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近年、社会の急速な発展に伴って、IT業界は人々に爱顾されました。Google Professional-Cloud-ArchitectIT認定試験を受験して認証資格を取ることを通して、IT事業を更に上がる人は多くになります。そのときは、あなたにとって必要するのはあなたのGoogle Professional-Cloud-Architect試験合格をたすけってあげるのXhs1991というサイトです。Xhs1991の素晴らしい問題集はIT技術者が長年を重ねて、総括しました経験と結果です。先人の肩の上に立って、あなたも成功に一歩近付くことができます。

Google Professional-Cloud-Architect（Google Certified Professional-Cloud Architect（GCP））認定試験は、Google Cloud Platformを使用して堅牢でスケーラブルで安全なクラウドアーキテクチャソリューションを設計、開発、および安全なセキュアなクラウドアーキテクチャソリューションを検証する世界的に認められたプロフェッショナル認定です。（GCP）。この認定は、クラウドアーキテクト、クラウドエンジニア、ソリューションアーキテクト、およびクラウドインフラストラクチャとアプリケーションの設計と管理を担当するIT専門家に最適です。

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成功した方法を見つけるだけで、失敗の言い訳をしないでください。GoogleのProfessional-Cloud-Architect試験に受かるのは実際にそんなに難しいことではないです。大切なのはあなたがどんな方法を使うかということです。Xhs1991のGoogleのProfessional-Cloud-Architect試験トレーニング資料はよい選択で、あなたが首尾よく試験に合格することを助けられます。これも成功へのショートカットです。誰もが成功する可能性があって、大切なのは選択することです。

この試験は、クラウドコンピューティングアーキテクチャ、インフラストラクチャ設計、データストレージと管理、セキュリティ、コンプライアンス、価格など、幅広いトピックをカバーする複数選択問題と単一選択問題で構成されています。試験に合格するためには、候補者はこれらのトピックの深い理解を示し、その知識を実世界のシナリオに適用できる必要があります。試験に合格することは、Google Cloud上でクラウドソリューションを設計および実装する能力だけでなく、クラウドアーキテクトとしての信頼性を高め、新しいキャリアの機会を開くことができます。

Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q291-Q296):

質問 # 291
You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

A. Cloud Storage
B. /usr/local/bin
C. ~/bin
D. /google/scripts

正解：B

解説：
https://medium.com/google-cloud/no-localhost-no-problem-using-google-cloud-shell-as-my-full-time-developm

質問 # 292
You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

A. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
B. Use kubect1 set image deployment/echo-deployment <new-image>
C. Update the deployment yaml file with the new container image. Use kubect1 delete deployment/ echo-deployment and kubect1 create -f <yaml-file>
D. Update the service yaml file which the new container image. Use kubect1 delete service/echoservice and kubect1 create -f <yaml-file>

正解：B

解説：
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps#updating_an_application

質問 # 293
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

A. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
B. BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
C. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
D. Google Cloud Storage Coldline to store the data, and gsutil to access the data.

正解：D

解説：
References: https://cloud.google.com/storage/docs/storage-classes

質問 # 294
You have deployed several instances on Compute Engine. As a security requirement, instances cannot have a public IP address. There is no VPN connection between Google Cloud and your office, and you need to connect via SSH into a specific machine without violating the security requirements. What should you do?

A. Configure Cloud NAT on the subnet where the instance is hosted.
Create an SSH connection to the Cloud NAT IP address to reach the instance.
B. Configure Identity-Aware Proxy (IAP) for the instance and ensure that you have the role of IAP- secured Tunnel User.
Use the gcloud command line tool to ssh into the instance.
C. Create a bastion host in the network to SSH into the bastion host from your office location.
From the bastion host, SSH into the desired instance.
D. Add all instances to an unmanaged instance group.
Configure TCP Proxy Load Balancing with the instance group as a backend.
Connect to the instance using the TCP Proxy IP.

正解：B

解説：
https://cloud.google.com/iap/docs/using-tcp-forwarding#tunneling_with_ssh

質問 # 295
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.

What should you do?

A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
B. Upload missing JAR files and redeploy your application.
C. Digitally sign all of your JAR files and redeploy your application

正解：C

質問 # 296
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