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Case Study 4: Tailspin Toys B (Question 61 – Question 65)
Introduction
Tailspin Toys is a multinational company that manufactures toys. Tailspin Toys has offices in five regions worldwide. The company sells toys at various retail stores. The company also sells toys directly to consumers through a web site.
The company has the following departments:
– Sales
– Distribution
– Manufacturing
Each department has an office in each region. The fiscal calendar of Tailspin Toys runs from June to May. The network contains a server farm that has Microsoft SharePoint Server 2013 installed.
Existing Environment
Current Database Environment
Each department uses SharePoint team sites for internal collaboration. All manufacturing information is stored in a relational database named Manufacturing. All sales information is stored in a relational database named Sales. Tailspin Toys deploys SQL Server Analysis Services (SSAS) and configures SSAS to use tabular models. SSAS will be used for all sales reports. Tailspin Toys deploys a SQL Server Reporting Services (SSRS) instance in SharePoint mode.
Sales Database
A database named Sales contains two tables named FactSales and DimProduct. FactSales contains the following columns:

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Case Study: 2 – Contoso, Ltd (QUESTION 46 – QUESTION 52)
General Background
You are the SQL Server Administrator for Contoso, Ltd. You have been tasked with upgrading all existing SQL Server instances to SQL Server 2012.
Technical Background
The corporate environment includes an Active Directory Domain Services (AD DS) domain named contoso.com. The forest and domain levels are set to Windows Server 2008. All default containers are used for computer and user accounts. All servers run Windows Server 2008 R2 Service Pack 1 (SP1). All client computers run Windows 7 Professional SP1. All servers and client computers are members of the contoso.com domain. The current SQL Server environment consists of a single instance failover cluster of SQL Server 2008 R2 Analysis Services (SSAS). The virtual server name of the cluster is SSASCluster. The cluster includes two nodes: Node1 and Node2. Node1 is currently the active node. In anticipation of the upgrade, the prerequisites and shared components have been upgraded on both nodes of the cluster, and each node was rebooted during a weekly maintenance window. A single-server deployment of SQL Server 2008 R2 Reporting Services (SSRS) in native mode is installed on a server named SSRS01. The Reporting Server service is configured to use a domain service account. SSRS01 hosts reports that access the SSAS databases for sales data as well as modeling data for the Research team. SSRS01 contains 94 reports used by the organization. These reports are generated continually during business hours. Users report that report subscriptions on SSRS01 are not being delivered. You run the reports on demand from Report Manager and find that the reports render as expected. A new server named SSRS02 has been joined to the domain, SSRS02 will host a single-server deployment of SSRS so that snapshots of critical reports are accessible during the upgrade. The server configuration is shown in the exhibit. (Click the Exhibit button.) The production system includes three SSAS databases that are described in the following table.
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QUESTION 31
You are designing a SQL Server Analysis Services (SSAS) cube. You need to create a measure to count unique customers. What should you do?

A.    Use role playing dimensions.
B.    Use the Business Intelligence Wizard to define dimension intelligence.
C.    Add a measure that uses the Count aggregate function to an existing measure group.
D.     Add a measure that uses the DistinctCount aggregate function to an existing measure group.
E.    Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
F.    Add a measure group that has one measure that uses the DistinctCount aggregate function.
G.    Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
H.    Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
I.    Create several dimensions. Add each dimension to the cube.
J.     Create a dimension. Then add a cube dimension and link it several times to the measure group.
K.     Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
L.    Create a dimension with one attribute hierarchy. Set the IsAggregatable prooerty to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
M.    Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
N.    Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
O.    Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.