使用Professional-Cloud-Architect試題 -告別Google Certified Professional - Cloud Architect (GCP)考試煩惱
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獲得Google Professional-Cloud-Architect認證證明個人具備設計和實施符合行業標準和最佳實踐的雲解決方案的專業知識。這還突顯了他們使用GCP技術和服務提供可擴展,安全且高度可用的雲解決方案以滿足業務目標的能力。這種認證在使用GCP的組織中非常有價值,對於希望在雲計算行業中推進其職業生涯的雲架構師來說是一個重要的區別因素。
Google Professional-Cloud-Architect 認證是雲端運算產業中一個高度認可的資格。此認證是針對負責在 Google Cloud Platform (GCP) 上設計和管理解決方案的專業人員所設計。認證考試測試考生在 GCP 上的雲端架構、基礎架構、安全性和應用程式開發方面的知識和技能。考試包括多選和情境式問題,需要具備 GCP 的實際經驗。
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最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q185-Q190):
問題 #185
You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP. Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?
- A. Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
- B. Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.
- C. Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
- D. Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.
答案:A
解題說明:
Reference:
https://cloud.google.com/interconnect/docs/how-to/direct-peering
問題 #186
You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?
- A. Cloud Pub/Sub alone
- B. Cloud Pub/Sub to Stackdriver
- C. Cloud Pub/Sub to Cloud Dataflow
- D. Cloud Pub/Sub to Cloud SQL
答案:D
解題說明:
Explanation
Explanation/Reference: https://cloud.google.com/pubsub/docs/ordering
問題 #187
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable.
Which three requirements should they include? Choose 3 answers.
- A. Instrument the production services to record every transaction for replay by the load-testing tool
- B. Ensure all third-party systems your services use is capable of handling high load
- C. Create a separate Google Cloud project to use for the load-testing environment
- D. Ensure that the load tests validate the performance of Cloud Bigtable
- E. Instrument the load-testing tool and the target services with detailed logging and metrics collection
- F. Schedule the load-testing tool to regularly run against the production environment
答案:A,C,E
問題 #188
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 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.
- B. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
- 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.
答案:C
解題說明:
Reference: https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes/blob/master/ README.md
問題 #189
Case Study: 5 - 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. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated 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 moving their development and test environments. They are also 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. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
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.
Technical Requirements
Easily create non-production environment in the cloud.
Implement an automation framework for provisioning resources in cloud.
Implement a continuous deployment process for deploying applications to the on-premises
datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
Encrypt data on the wire and at rest.
Support multiple private connections between the production data center and cloud
environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
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 for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as -is and would still be an optimized architecture for performance in the cloud?
- A. Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode
- B. RabbitMQ deployed using an unmanaged instance group
- C. Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types
- D. Web applications deployed using App Engine standard environment
答案:C
問題 #190
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