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NEW QUESTION: 1
あなたはContoso Entertainment System USA（USMF）の機能コンサルタントです。
古いレガシーシステムからUSMFに顧客をインポートする予定です。
エクスポートジョブを作成して、顧客詳細v2エンティティに使用される形式を識別する必要があります。ソリューションでは、Microsoft Excelデータ形式とContoso Europeを使用する必要があります。結果を検証するには、ファイルをMicrosoft Excel形式でDownloads \ Customerに保存します。このタスクを完了するには、Dynamics 365ポータルにサインインします。
注：このタスクを完了するには、フレームワークパラメータの共有作業ディレクトリをC：\ users \ public \ documents \に設定する必要があります。
Answer:
Explanation:
See explanation below.
* Navigate to System Administration > Workspaces > Data management.
* Click the Framework parameters tile.
* In the Shared working directory field, enter C:\users\public\documents\ then click Validate.
* Click the Export tile.
* In the Name field, enter a name for the export job.
* In the Entity Name field, select the Customer details v2 entity.
* Click on Add entity.
* In the Target data format field, select EXCEL.
* Set the Skip staging option to No.
* Click the Add button.
* Click Export to begin the export.
* Click on Download package.
* Select the Downloads\Customer folder as the location to save the downloaded file.
NEW QUESTION: 2
What is the format of a company code key? Please choose the correct answer.
A. Four-digit alphanumeric
B. Six-digit alphanumeric
C. Eight-digit alphanumeric
D. Two-digit alphanumeric
Answer: A
NEW QUESTION: 3
You need to recommend a solution to meet the requirements for business analysts.
What should you recommend?
A. Create an Azure Data Catalog and add each customers database.
B. Create an Azure Analysis Services instance and add each customers database.
C. Create an Azure SQL Data Warehouse and add each customers database.
D. Create an Azure HDinsight instance and add each customers database.
Answer: B
Explanation:
Topic 1, 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.
NEW QUESTION: 4
Which of these statements accurately identifies how Unicast Reverse Path Forwarding can be employed to prevent the use of malformed or forged IP sources addresses?
A. It is applied only on the input interface of a router.
B. It is applied only on the output interface of a router.
C. It is configured under any routing protocol process.
D. It can be configured either on the input or output interface of a router.
E. It cannot be configured on a router interface.
Answer: A
Explanation:
Unicast Reverse Path Forwarding: Is a small security feature, when configured on an interface, the router checks the incoming packet's source address with its routing table. If the incoming packet's source is reachable via the same interface it was received, the packet is allowed. URPF provides protection again spoofed packets with unverifiable source. http://www.cciecandidate.com/?p=494 Unicast RPF can be used in any "single-homed" environment where there is essentially only one access point out of the network; that is, one upstream connection. Networks having one access point offer the best example of symmetric routing, which means that the interface where a packet enters the network is also the best return path to the source of the IP packet. Unicast RPF is best used at the network perimeter for Internet, intranet, or extranet environments, or in ISP environments for customer network terminations.
Feature Overview The Unicast RPF feature helps to mitigate problems that are caused by the introduction of malformed or forged (spoofed) IP source addresses into a network by discarding IP packets that lack a verifiable IP source address. For example, a number of common types of denial-of-service (DoS) attacks, including Smurf and Tribe Flood Network (TFN), can take advantage of forged or rapidly changing source IP addresses to allow attackers to thwart efforts to locate or filter the attacks. For Internet service providers (ISPs) that provide public access, Unicast RPF deflects such attacks by forwarding only packets that have source addresses that are valid and consistent with the IP routing table. This action protects the network of the ISP, its customer, and the rest of the Internet.
How It Works When Unicast RPF is enabled on an interface, the router examines all packets received as input on that interface to make sure that the source address and source interface appear in the routing table and match the interface on which the packet was received. This "look backwards" ability is available only when Cisco express forwarding (CEF) is enabled on the router, because the lookup relies on the presence of the Forwarding Information Base (FIB). CEF generates the FIB as part of its operation.
Note Unicast RPF is an input function and is applied only on the input interface of a router at the upstream end of a connection.
Reference http://www.cisco.com/en/US/docs/ios/11_1/feature/guide/uni_rpf.html