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NEW QUESTION: 1
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。どの計算サービスを-isとして移行する必要があり、それでもクラウドでのパフォーマンスのために最適化されたアーキテクチャになるでしょうか。
A. High AvailabilityモードでCloud Dataproc Regionalを使用してデプロイされたHadoop / Spark
B. 管理対象外のインスタンスグループを使用してデプロイされたRabbitMQ
C. App Engineの標準環境を使用してデプロイされたWebアプリケーション
D. Jenkins、監視、要塞ホスト、カスタムスキャナータイプに配備されたセキュリティスキャナーサービス
Answer: D

NEW QUESTION: 2
Evaluate the SQL statement
DROP TABLE DEPT:
Which four statements are true of the SQL statement? (Choose four)
A. All views based on the DEPT table are deleted.
B. You cannot roll back this statement.
C. All indexes based on the DEPT table are dropped.
D. All data in the table is deleted, but the structure of the table is retained.
E. All synonyms based on the DEPT table are deleted.
F. All data in the table is deleted, and the table structure is also deleted.
G. All pending transactions are committed.
Answer: B,C,F,G
Explanation:
You cannot roll back DROP TABLE statement. All pending transactions related on this table are committed. If the table is dropped, Oracle automatically drops any index, trigger and constraint associated with the table as well. All data in the table is deleted, and the table structure is also deleted.
Incorrect Answers
C:All views based on the DEPT table become invalid, but they are not deleted.
F:All data in the table is deleted, and the table structure is also deleted. Command
TRUNCATE deletes all data in the table, but does not delete the structure of the table.
G:All synonyms based on the DEPT table are not deleted after dropping the table.
OCP Introduction to Oracle 9i: SQL Exam Guide, Jason Couchman, p. 225
Chapter 5: Creating Oracle Database Objects

NEW QUESTION: 3


Answer:
Explanation:

Explanation

Box 1: Azure Machine Learning
Machine learning is a technique of data science that helps computers learn from existing data to forecast future behaviors, outcomes, and trends. Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
Box 2: Azure Cognitive Services
Add vision, speech, language and knowledge capabilities to your apps with artificial intelligence APIs from Cognitive Services.
References:
https://azure.microsoft.com/en-us/services/cognitive-services/
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-weather-forecast-machine-learning

NEW QUESTION: 4
고객에게 확장하는 방법을 시연하고 있습니다. 기술에 대한 어떤 진술이 맞습니까?
A. 약간 튀는 움직임을 사용하여 신축 범위를 늘리십시오.
B. 흡입시 스트레치 범위를 증가시킵니다.
C. 호흡을 유지하는 동안 스트레칭 범위를 늘리십시오.
D. 호기 중 신축 범위를 증가시킵니다.
Answer: D