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NEW QUESTION: 1
ある企業が財務アプリと運用アプリを使用しています。
会社はPower BIを使用して、現在の会計年度の実績額と予算額を表示したいと考えています。これには数百万のトランザクションを処理する必要があります。
一部のデータはほぼリアルタイムである必要がありますが、他のデータは10分ごとに更新する必要があります。
これらの要件を満たすソリューションコンポーネントを特定する必要があります。
各要件にどのコンポーネントを使用する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

NEW QUESTION: 2
Sie evaluieren die Namensauflösung für die virtuellen Maschinen nach der geplanten Implementierung der Azure-Netzwerkinfrastruktur.
Wählen Sie für jede der folgenden Anweisungen Ja aus, wenn die Anweisung wahr ist. Andernfalls wählen Sie Nein.

Answer:
Explanation:

NEW QUESTION: 3
Where is the wwn-seed physically located on VS2 engines?
A. On the front of the management server
B. On the back of the engine on the bottom of the chassis
C. On the front of the director bezel cover
D. On the front of the director
Answer: B

NEW QUESTION: 4

A. Option E
B. Option D
C. Option C
D. Option A
E. Option B
Answer: A,D
Explanation:
* Scenario:
/ Mitigate the need to purchase additional tools for monitoring and debugging.
/A debugger must automatically attach to websites on a weekly basis. The scripts that handle the configuration and setup of debugging cannot work if there is a delay in attaching the debugger.
A: After publishing your application you can use the Server Explorer in Visual Studio to access your web sites.
After signing in you will see your Web Sites under the Windows Azure node in Server Explorer.
Right click on the site that you would like to debug and select Attach Debugger.
E: When the processes appear in the Available Processes table, select w3wp.exe, and then click Attach.
Open a browser to the URL of your web app.
References: http://blogs.msdn.com/b/webdev/archive/2013/11/05/remote-debugging-a-window- azure-web-site-with-visual-studio-2013.aspx Case Study: 14 Trey Research Inc, Case C Background You are software architect for Trey Research Inc, a Software as a service (SaaS) company that provides text analysis services. Trey Research Inc, has a service that scans text documents and analyzes the content to determine content similarities. These similarities are referred to as categories, and indicate groupings on authorship, opinions, and group affiliation.
The document scanning solution has an Azure Web App that provides the user interface. The web app includes the following pages:
* Document Uploads: This page allows customers to upload documents manually.
* Document Inventory: This page shows a list of all processed documents provided by a customer. The page can be configured to show documents for a selected category.
* Documents Upload Sources: This page shows a map and information about the geographic distribution of uploaded documents. This page allows users to filter the map based on assigned categories.
The web application is instrumented with Azure Application Insight. The solution uses Cosmos DB for data storage.
Changes to the web application and data storage are not permitted.
The solution contains an endpoint where customers can directly upload documents from external systems.
Document Processing
Source Documents
Documents must be in a specific formate before they are uploaded to the system. The first four lines of the document must contain the following information. If any of the first four lines are missing or invalid, the document must not be processed.
* the customer account number
* the user who uploaded the document
* the IP address of the person who created the document
* the date and time the document was created
The remaining portion of the documents contain the content that must be analyzed. prior to processing by the Azure Data Factory pipeline, the document text must be normalized so that words have spaces between them.
Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is uploaded once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Other requirements
Business Analysis
Trey Research Inc. business analysis must be able to review processed documents, and analyze data by using Microsoft Excel.
Business analysis must be able to discover data across the enterprise regardless of where the data resides.
Data Science
Data scientists must be able to analyze results without charging the deployed application. The data scientists must be able to analyze results without being connected to the Internet.
Security and Personally Identifiable Information (PII)
* Access to the analysis results must be limited to the specific customer account of the user that originally uploaded the documents.
* All access and usage of analysis results must be logged. Any unusual activity must be detected.
* Documents must not be retained for more than 100 hours.
Operations
* All application logs, diagnostic data, and system monitoring must be available in a single location.
* Logging and diagnostic information must be reliably processed.
* The document upload time must be tracked and monitored.