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この試験は、クラウドアーキテクチャ、セキュリティ、ネットワーキング、データ管理など、さまざまなトピックをカバーする複数選択の質問で構成されています。候補者は、クラウドコンピューティングテクノロジーとベストプラクティス、およびこの知識を実際のシナリオに適用する能力を強く理解することが期待されています。この試験は、認定を獲得するために70％の合格スコアが必要になるように設計されています。

Google Professional-Cloud-Architect試験は、Google Cloudプラットフォームでソリューションの設計、開発、管理の専門知識を実証したい専門家の認定です。クラウドアーキテクチャの経験があり、スキルセットの拡大を検討している個人向けに設計されています。試験では、GCPのソリューションを設計および管理する能力と、クラウドアーキテクチャの原則の理解について候補者をテストします。

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GoogleのGoogle Certified Professional - Cloud Architect (GCP)の実際のテストは、さまざまな分野の多くの専門家によって設計され、顧客のさまざまな状況を考慮し、顧客が時間を節約できるように実用的な学習教材を設計しました。 あなたが学生であろうとオフィスワーカーであろうと、JPTestKingあなたはGoogle Certified Professional - Cloud Architect (GCP)試験の準備にすべての時間を費やすわけではなく、Professional-Cloud-Architect専門知識の勉強、家事、子供の世話などに従事していると信じています。 簡素化された情報により、効率的にProfessional-Cloud-Architect学習することができます。 そして、あなたは事前に本当の試験を感じたいですか？ 「はい」と答えた場合、Google Certified Professional - Cloud Architect (GCP)試験クイズのソフトウェアバージョンを使用してみてください。 ソフトウェアバージョンは実際のテスト環境をシミュレートできるため、ソフトウェアバージョンが最適な選択肢になると思います。ソフトウェアバージョンごとにGoogle Certified Professional - Cloud Architect (GCP)試験の雰囲気を事前に感じることができます。

Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q14-Q19):

質問 # 14
Case Study: 4 - Dress4Win
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.
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?

正解：B

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


質問 # 15
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?

正解：A

解説：
Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy l


質問 # 16
For this question, refer to the TerramEarth case study
You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?

正解：D

解説：
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
References: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data


質問 # 17
Your team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?

正解：A

解説：
A Cloud NAT gateway can perform NAT for nodes and Pods in a private cluster, which is a type of VPC- native cluster. The Cloud NAT gateway must be configured to apply to at least the following subnet IP address ranges for the subnet that your cluster uses:
Subnet primary IP address range (used by nodes)
Subnet secondary IP address range used for Pods in the cluster Subnet secondary IP address range used for Services in the cluster The simplest way to provide NAT for an entire private cluster is to configure a Cloud NAT gateway to apply to all of the cluster's subnet's IP address ranges.
https://cloud.google.com/nat/docs/overview


質問 # 18
Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them.
How should you configure users' access roles?

正解：B

解説：
Reference: https://cloud.google.com/bigquery/docs/running-queries


質問 # 19
......

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