一番優秀-ハイパスレートのProfessional-Cloud-Architect関連日本語内容試験-試験の準備方法Professional-Cloud-Architect問題集無料

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それぞれのIT認証試験を受ける受験生の身近な利益が保障できるために、Jpshikenは受験生のために特別に作成されたGoogleのProfessional-Cloud-Architect試験トレーニング資料を提供します。この資料はJpshikenのIT専門家たちに特別に研究されたものです。彼らの成果はあなたが試験に合格することを助けるだけでなく、あなたにもっと美しい明日を与えることもできます。

Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:	Google
Exam Name:	Google Certified Professional - Cloud Architect
Exam Number:	Professional-Cloud-Architect
Real Exam Qty:	50-60
Related Certifications:	Google Cloud Certified - Professional Cloud Architect
Available Languages:	Indonesian, Japanese, French, German, English, Portuguese, Spanish
Exam Duration:	120 minutes
Passing Score:	Not publicly disclosed
Exam Price:	$200 USD
Certificate Validity Period:	2 years
Exam Format:	Multiple Choice, Multiple Select
Sample Questions:	Google Professional-Cloud-Architect Sample Questions
Exam Way:	Online (proctored) or at a test center
Pre Condition:	No mandatory prerequisite, but recommended to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-architect

>> Professional-Cloud-Architect関連日本語内容 <<

Professional-Cloud-Architect問題集無料 & Professional-Cloud-Architect復習内容

ソフトウェアバージョンは、Professional-Cloud-Architect試験準備の3つのバージョンの1つです。ソフトウェアバージョンには、他のバージョンとは異なる多くの機能があります。一方、Professional-Cloud-Architectテスト問題のソフトウェアバージョンは、すべてのユーザーの実際の試験をシミュレートできます。テスト環境を実際にシミュレートすることにより、学習コースで自己欠陥を学び、修正する機会が得られます。一方、オペレーティングシステムでProfessional-Cloud-Architectトレーニングガイドのソフトウェアバージョンを適用することはできますが。

Google Professional-Cloud-Architect認定試験は、Google Cloud Platform（GCP）を使用して、安全でスケーラブルで、非常に利用可能なクラウドソリューションの設計、開発、管理の専門家のスキルと専門知識を検証する非常に求められている認定です。この試験は、GCPサービスを深く理解し、組織のビジネスおよび技術的要件を満たす非常にスケーラブルで信頼性の高いクラウドソリューションを設計できる個人を対象としています。

Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q219-Q224):

質問 # 219
Your office is connected to GCP via a VPN connection. How can you increase the speed of your VPN connection, assuming that your office Internet is not the bottleneck?

A. Apply for a dedicated interconnect option
B. Create an additional VPN tunnel
C. Submit request to increase bandwidth quota
D. Enable high speed routing in your VPN settings

正解：B

解説：
A - Apply for a dedicated interconnect option. A dedicated interconnect will also increase speeds, however the question asked how to speed up your VPN connection, not create a new type of connection.
C (Correct answer) - Create an additional VPN tunnel. Each VPN tunnel has a max speed of 1.5 Gbps. However, you can create multiple VPN tunnels to increase bandwidth.
Answer B and D either are not applicable or feature doesn't not exist.

質問 # 220
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also want to reliably deploy new versions of the application. Which set of steps should you take?

A. Perform the following:
1. Create a GKE cluster with n1-standard-4 type machines.
2. Build a Docker image from the master branch with all of the dependencies, and tag it with 'latest'.
3. Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to 'Always'.
Restart the pods to automatically deploy new production releases.
B. Perform the following:
1. Create a managed instance group with n1-standard-1 type machines.
2. Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3. Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
C. Perform the following:
1. Create a Google Kubernetes Engine (GKE) cluster with n1-standard-1 type machines.
2. Build a Docker image from the production branch with all of the dependencies, and tag it with the version number.
3. Create a Kubernetes Deployment with the imagePullPolicy set to 'IfNotPresent' in the staging namespace, and then promote it to the production namespace after testing.
D. Perform the following:
1. Create a managed instance group with f1-micro type machines.
2. Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3. Restart the instances to automatically deploy new production releases.

正解：B

質問 # 221
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

A. Google Cloud Bigtable
B. Google Cloud SQL
C. Google Cloud Storage
D. Google cloud Datastore

正解：C

解説：
Reference:
https://cloud.google.com/bigquery/docs/loading-data-cloud-storage

質問 # 222
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

A. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
B. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
C. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment.
D. Use Spinnaker to deploy builds to production and run tests on production deployments.

正解：C

解説：
Reference: https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes/blob/master/ README.md

質問 # 223
Your organization uses Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS) to manage a complex Kubernetes environment across multiple cloud providers.
You need to deploy a solution that streamlines configuration management, enforces security policies, and ensures consistent application deployment across all of the environments. You want to follow Google-recommended practices. What should you do?

A. Utilize Config Sync as part of GKE to synchronize configurations from a centralized repository, and utilize Policy Controller to enforce policies using OPA Gatekeeper.
B. Deploy Kustomize for configuration customization, Config Sync with multiple Git repositories, and a script to enforce security policies.
C. Deploy Crossplane for managing cloud resources as Kubernetes objects, FluxCD for GitOps- based configuration synchronization, and Kyverno for policy enforcement.
D. Leverage Argo CD for GitOps-based continuous delivery and Open Policy Agent (OPA) for policy enforcement, and develop a controller for multi-cluster configuration management.

正解：A

解説：
Config Sync and Policy Controller are Google-recommended Anthos/GKE capabilities for centralized, Git-based configuration management and consistent policy enforcement using OPA Gatekeeper. This combination standardizes application and platform configuration across multiple clusters and environments while enforcing security constraints declaratively and consistently.

質問 # 224
......

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さらに、Jpshiken Professional-Cloud-Architectダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1EDMOc48CIoFZQMWSNXjbLi1_HzJ39aIx