Professional-Cloud-Architect赤本合格率 & Professional-Cloud-Architect復習解答例
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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。
Google Professional-Cloud-ArchItect(Google Certified Professional-Cloud Architect(GCP))認定試験は、Google Cloud Platformで働くクラウドアーキテクトのスキルと知識をテストするために設計されています。これは世界的に認められている認定であり、業界で非常に評価されています。この認定試験は、クラウドソリューションの設計と実装の経験があり、クラウドアーキテクチャでのキャリアの前進に関心のある専門家を対象としています。
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Google Professional-Cloud-Architect復習解答例、Professional-Cloud-Architect試験問題集
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Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q306-Q311):
質問 # 306
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month. What should you do?
- A. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
- B. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.
- C. Use 'bq show' to list all jobs. Per job, use 'bq Is' to list job information and get the required information.
- D. In the BigQuery interface, execute a query on the JOBS table to get the required information.
正解:D
解説:
Explanation/Reference: https://cloud.google.com/bigquery/docs/access-control
質問 # 307
A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them.
The application must:
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?
- A. Google Compute Engine and Cloud Deployment Manager
- B. Google Container Engine, Jenkins, and Helm
- C. Google Container Engine and Cloud Load Balancing
- D. Google Compute Engine, Jenkins, and Cloud Load Balancing
正解:D
解説:
Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Kubernetes Engine is a hosted version of Kubernetes, a powerful cluster manager and orchestration system for containers.
When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment Incorrect Answers:
A: Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.
Use Helm to:
Find and use popular software packaged as Kubernetes charts
Share your own applications as Kubernetes charts
Create reproducible builds of your Kubernetes applications
Intelligently manage your Kubernetes manifest files
Manage releases of Helm packages
References: https://cloud.google.com/solutions/jenkins-on-kubernetes-engine
質問 # 308
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?
- A. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically
- B. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically
- C. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically
- D. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
正解:D
解説:
Explanation/Reference:
References: https://cloud.google.com/customers/ocado/
TerramEarth, B
Testlet 1
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in
100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single
U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
* Decrease unplanned vehicle downtime to less than 1 week.
* Support the dealer network with more data on how their customers use their equipment to better position new products and services
* Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast- growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
* Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.
* Create a backup strategy.
* Increase security of data transfer from equipment to the datacenter.
* Improve data in the data warehouse.
* Use customer and equipment data to anticipate customer needs.
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
* Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair.
Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
* Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
* A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in our manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
質問 # 309
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication.
Which networking approach should you use?
- A. A Google Compute Engine instance with a VPN server installed connected to the data center network
- B. Google Cloud Dedicated Interconnect
- C. A NAT and TLS translation gateway installed on-premises
- D. Google Cloud VPN connected to the data center network
正解:D
解説:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations
質問 # 310
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?
- A. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
- B. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
- C. Define a design for the security of data in your web application that meets GDPR requirements.
- D. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
正解:C
解説:
https://cloud.google.com/security/gdpr/?tab=tab4
Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/
質問 # 311
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