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NEW QUESTION: 1
右側の正しい機能に、左側からデバイスセキュリティに関するステートメントをドラッグアンドドロップします。

Answer:
Explanation:

NEW QUESTION: 2
==============================
Case Study: 1
Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on written
assignments. Teachers can also use the solution to detect potential plagiarism, and they can manage
assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where teachers view
and grade assignments, the plagiarism detection service, and a connector service to manage data by using a
network share.
The system availability agreement states that operating hours are weekdays between midnight on Sunday and
midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of existing works.
The initial dataset contains a large database of existing works. Teachers upload additional works. In addition,
the service itself searches for other works and adds those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a random number
generator. Certain values can result in an infinite loop, so if a particular work item takes longer than one hour
to process, other instances of the service must be able to process the work item. The Azure worker role must
fully utilize all available CPU cores. Computation results are cached in local storage resources to reduce
computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a repository of existing
works by using a custom matching algorithm. The master copies of the works are stored in Azure blob
storage. A daily process synchronizes files between blob storage and a file share on a virtual machine (VM).
As part of this synchronization, the ExistingWorkRepository object adds the files to Azure Cache to improve
the display performance of the website. If a student's submission is overdue, the Late property is set to the
number of days that the work is overdue. Work files can be downloaded by using the Work action of the
TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The network permissions
are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the plagiarism detection
service. However, certain combinations of input can cause memory issues, which results in decreased
performance. The average time for a given computation is 45 seconds. Unexpected results during
computations might cause a memory dump. Memory dump files are stored in the Windows temporary folder
on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy regulations require
that all content that users submit must be retained only in Azure Storage. All documents that students upload
must be signed by using a certificate named DocCert that is installed in both the worker role and the web
role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the compute
component and the storage component. New versions of the solution must undergo testing by using
production data.
Scaling
During non-operating hours, the plagiarism detection service should not use more than 40 CPU cores.
During operating hours, the plagiarism detection service should automatically scale when 500 work items are
waiting to be processed. To facilitate maintenance of the system, no plagiarism detection work should occur
during non-operating hours. All ASP.NET MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL database. All
services run in the US West region. The plagiarism detection service runs on Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line numbers in the code
segments are included for reference only and include a two-character prefix that denotes the specific file to
which the line belongs.







==============================
DRAG DROP
You need to configure storage for the solution.
What should you do? To answer, drag the appropriate XML segments to the correct locations. Each XML
segment may be used once, more than once, or not at all. You may need to drag the split bar between panes
or scroll to view content.

Answer:
Explanation:

Ref: http://msdn.microsoft.com/en-us/library/azure/ee758708.aspx

NEW QUESTION: 3
조직은 TV 프로그램을 위한 온라인 투표 시스템을 운영합니다. 방송 중에는 수십 만표가 수분 내에 제출되어 자동으로 Amazon EC2 인스턴스의 프런트 엔드에 보내집니다. EC2 인스턴스는 투표를 RBDMS 데이터베이스로 푸시합니다. 데이터베이스가 프런트 엔드 연결 요청을 따라 잡을 수 없습니다.
투표가 적시에 프로세스임을 보장하는 가장 효율적이고 비용 효율적인 방법은 무엇입니까?
A. 각 프런트 엔드 노드는 Amazon SQS 큐에 투표를 보내야합니다. 작업자 인스턴스를 제공하여 SQS 대기열을 읽고 메시지 정보를 RBDMS 데이터베이스로 처리합니다.
B. RDBMS 데이터베이스를 더 큰 메모리 최적화 인스턴스로 다시 제공하십시오. 투표가 끝나면 유사한 인스턴스로 백엔드 데이터베이스를 다시 프로비저닝하십시오.
C. 각 프런트 엔드 노드에서 Amazon DynamoDB로 투표를 보냅니다. DynamoDB의 투표를 RDBMS 데이터베이스로 처리하도록 작업자 인스턴스를 제공합니다.
D. 데이터베이스에 대한로드가 증가함에 따라 메모리 최적화 된 추가 인스턴스를 사용하여 RDBMS 데이터베이스를 수평 적으로 확장합니다. 투표가 끝나면 추가 인스턴스의 크기를 줄입니다.
Answer: A