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NEW QUESTION: 1
EMR 클러스터는 cc2.8x 큰 인스턴스 유형을 사용하며, Ganglia는 간략하게 25 %의 CPU 리소스를 사용합니다. S3에있는 많은 양의 데이터를 처리해야합니다. 어떤 작업의 런타임을 줄이는 가장 비용 효율적인 방법은 무엇입니까? 정답을 선택하십시오.
A. 여러 S3 버킷에 파일 확산
B. S3에서 파일을 더 작은 크기로 분할합니다.
C. 일부 파일을 병합하여 S3에있는 파일 수 줄입니다.
D. 새 작업 그룹에 cc2.8xlarge 인스턴스를 추가합니다.
Answer: C
Explanation:
설명:
https://aws.amazon.com/elasticmapreduce/faqs/

NEW QUESTION: 2
Which of the following is the best problem-solving technique to use when analyzing performance and cost?
A. Component analysis.
B. Brainstorming.
C. Value analysis.
D. Attribute listing.
Answer: C

NEW QUESTION: 3
ケーススタディ：5 - Dress4win
会社概要
Dress4winは、ユーザーがWebサイトとモバイルアプリケーションを使用して自分のワードローブを整理および管理するのに役立つWebベースの会社です。同社はまた、ユーザーをデザイナーや小売業者と結びつける活発なソーシャルネットワークを開拓しています。彼らは広告、eコマース、紹介、そしてフリーミアムのアプリモデルを通して彼らのサービスを収益化します。アプリケーションは、創設者のガレージにある数台のサーバーから、併置されたデータセンターにある数百台のサーバーとアプライアンスにまで拡大しました。ただし、インフラストラクチャの容量は、アプリケーションの急成長には不十分です。この成長と会社がより早く革新したいという願望のために。
Dress4Winはパブリッククラウドへの完全移行を約束しています。
ソリューションコンセプト
Dress4winは、クラウドへの移行の第一段階として、開発環境とテスト環境を移行しています。現在のインフラストラクチャは単一の場所にあるため、彼らは障害回復サイトも構築しています。アーキテクチャのどのコンポーネントをそのまま移行できるのか、またどのコンポーネントを移行する前に変更する必要があるのか​​はわかりません。
既存の技術環境
Dress4winアプリケーションは、単一のデータセンターロケーションから配信されます。すべてのサーバーはUbuntu LTS v16.04を実行しています。
データベース：
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.
エグゼクティブステートメント
当社の投資家は、現在のインフラストラクチャーを使用してコストを拡大および抑制する能力について懸念しています。また、競合他社がパブリッククラウドプラットフォームを使用して初期投資を相殺し、より優れた機能の開発に集中できるようにすることも懸念されています。私たちの交通パターンは朝と週末の夜に最も高いです。それ以外のときは、80％の容量がアイドル状態です。
当社の設備投資は現在、当社の四半期予測を上回っています。クラウドへの移行により、最初は支出が増加する可能性がありますが、次のハードウェア更新サイクルの前に完全に移行する予定です。パブリッククラウド戦略の今後5年間の総所有コスト（TCO）分析では、現在のモデルよりも30％から50％のコスト削減が達成されます。
この質問については、Dress4Winのケーススタディを参照してください。 Dress4Winは1年間でその10倍のサイズに成長すると予測されており、それに対応してデータとトラフィックが増加し、既存の使用パターンを反映しています。 CIOは、今後6か月以内に生産インフラストラクチャをクラウドに移行するという目標を設定しました。アプリケーションの大幅な変更を行わずにROIを最大化することなく、この成長に合わせてソリューションをどのように構成するのでしょうか。
A. RabbitMQをCloud Pub / Subに、HadoopをBigQueryに、NASを永続ディスクストレージを備えたCompute Engineに移行します。 Tomcatをデプロイし、Deployment Managerを使ってNginxをデプロイします。
B. WebアプリケーションレイヤをApp Engineに、MySQLをCloud Datastoreに、そしてNASをCloud Storageに移行します。 RabbitMQをデプロイし、Deployment Managerを使用してHadoopサーバーをデプロイします。
C. TomcatとNginxの管理インスタンスグループを実装します。 MySQLをCloud SQLに、RabbitMQをCloud Pub / Subに、HadoopをCloud Dataprocに、そしてNASを永続ディスクストレージを備えたCompute Engineに移行します。
D. TomcatとNginxの管理インスタンスグループを実装します。 MySQLをCloud SQLに、RabbitMQをCloud Pub / Subに、HadoopをCloud Dataprocに、そしてNASをCloud Storageに移行します。
Answer: D