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NEW QUESTION: 1
Which two OSPF network types support the concept of a designated router? (Choose two.)
A. broadcast
B. NBMA
C. point-to-multipoint nonbroadcast
D. point-to-multipoint
E. loopback
Answer: A,B
Explanation:
NBMA: simulates a broadcast model by electing a designated router (DR) and a backup designated router (BDR). There are two ways to simulate a broadcast model on an NBMA network: define the network type as broadcast with the ip ospf network broadcast interface sub-command or configure the neighbor statements using the router ospf command.
NEW QUESTION: 2
A. Option A
B. Option B
C. Option D
D. Option C
Answer: D
Explanation:
Explanation
The Start-OBRegistration cmdlet registers the server with using the vault credentials downloaded during enrollment.
Reference: Azure Backup - FAQ
https://azure.microsoft.com/sv-se/documentation/articles/backup-azure-backup-faq/ Reference: Start-OBRegistration
https://technet.microsoft.com/en-us/library/hh770398(v=wps.630).aspx
NEW QUESTION: 3
シミュレーション
概要
試験の次のセクションはラボです。このセクションでは、ライブ環境で一連のタスクを実行します。ほとんどの機能はライブ環境と同様に使用できますが、一部の機能（コピーアンドペースト、外部Webサイトへの移動機能など）は設計上不可能です。
スコアリングは、ラボで説明されているタスクを実行した結果に基づいています。つまり、タスクをどのように達成するかは問題ではありません。タスクを正常に実行すると、そのタスクのクレジットを獲得できます。
ラボのタイミングは個別ではなく、この試験には複数のラボが必要な場合があります。各ラボを完了するのに必要な時間を使用できます。ただし、時間を適切に管理して、指定された時間内にラボと試験の他のすべてのセクションを完了することができるようにする必要があります。
ラボ内で[次へ]ボタンをクリックして作業を送信すると、ラボに戻ることはできません。
ラボを開始するには
[次へ]ボタンをクリックして、ラボを開始できます。
会社は、いくつかの基幹業務アプリケーションのソースファイルをAzureでホストすることを計画しています。
storagelod8095859ストレージアカウントにcorpsoftwareという名前のAzureファイル共有を作成する必要があります。このソリューションでは、corpsoftwareが最大250 GBのデータのみを保存できるようにする必要があります。
Azureポータルから何をすべきですか？
A. Step 1. Go to the Storage Account blade on the Azure portal:
Step 2. Click on add File Share button:
Step 3. Provide Name (storagelod8095859) and Quota (250 GB).
B. Step 1. Go to the Storage Account blade on the Azure portal:
Step 2. Click on add File Share button:
Step 3. Provide Name (storagelod8095859) and Quota (250 GB).
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-create-file-share
NEW QUESTION: 4
HOTSPOT
The Compute method in the PlagiarismCalculation class takes a significant amount of time to load existing works from blob storage. To improve performance, the service must load existing works from the cache.
You need to modify the Compute method in the class PlagiarismCalculation.
How should you modify the method? To answer, select the appropriate option or options in the answer area.
Answer:
Explanation:
========================================================
Topic 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.
