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NEW QUESTION: 1
この質問については、JencoMartのケーススタディを参照してください。
JencoMartは、アジアへのトラフィックを提供するGoogle Cloud Platform上にアプリケーションのバージョンを構築しました。あなたは彼らのビジネスと技術的な目標に対する成功を測定したいです。どの指標を追跡する必要がありますか？
A. アジアのユーザーの合計訪問数と平均待ち時間
B. データベースに存在する文字セットの数
C. アジアからのリクエストのエラー率
D. アジアからの総訪問数、エラー率、待ち時間
E. アメリカとアジアのレイテンシーの違い
Answer: D
Explanation:
Explanation
From scenario:
Business Requirements include: Expand services into Asia
Technical Requirements include: Decrease latency in Asia
Topic 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.

NEW QUESTION: 2
An application is being designed which will send updates about customers to different applications. Given the sensitive nature of the data, the sending application needs to manage which applications receive the datA. Which of the following is the best solution to ensure this?
A. Each application should have its own queue on which it will listen for updates
B. All receiving applications should listen on the same queue and the sending application shouldsend separate copies of the message with attributes which allow the receiving applications tosearch the queue for their own copies.
C. All applications should listen on the same queue and after processing the message shouldupdate its header so the last application process can remove it from the queue
D. Apply the publish-subscribe paradigm (one-to-many).
Answer: A

NEW QUESTION: 3


Answer:
Explanation:

Explanation

NEW QUESTION: 4
To scale up the AWS resources using manual AutoScaling, which of the below mentioned parameters should the user change?
A. Current capacity
B. Maximum capacity
C. Preferred capacity
D. Desired capacity
Answer: D
Explanation:
The Manual Scaling as part of Auto Scaling allows the user to change the capacity of Auto Scaling group. The user can add / remove EC2 instances on the fly. To execute manual scaling, the user should modify the desired capacity. AutoScaling will adjust instances as per the requirements. If the user is trying to CLI, he can use command as-set-desired-capacity <Auto Scaling Group Name> --desired-capacity <New Capacity>
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/as-manual-scaling.html