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Microsoft Transition Your MCITP: Business Intelligence Developer 2008 to MCSE: Business Intelligence Sample Questions:

1. HOTSPOT
You are designing a SQL Server Analysis Services (SSAS) cube that contains two measure groups named Sales History and Current Sales.
The Sales History measure group has the following characteristics:
----
Data changes on a monthly basis.
The measure group contains a very high data volume.
Queries that use the measure group only reference aggregate data.
The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
The Current Sales measure group has the following characteristics:
----
Data changes frequently.
The measure group contains a low data volume.
Queries that use the measure group often reference non-aggregate data.
The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
You need to select a storage mode for each measure group. The solution must meet the following requirements:
- For the Sales History measure group, query performance must be optimized over data latency.
- For the Current Sales measure group, data latency must be optimized over query performance.
What should you do? To answer, select the appropriate storage mode for each measure group in the answer area.

2. You are designing a subscription strategy for a SQL Server Reporting Services (SSRS) report. You have an application that populates a table with user-specific subscription
schedules and report formats.
You need to ensure that users can receive reports by email according to their preferences. Email messages will be sent via an internal mail server.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A) Create a data-driven SSRS subscription for each record in the schedule table.
B) Create a standard SSRS subscription for each record in the table.
C) Create one data-driven SSRS subscription. Schedule the subscription to frequently retrieve user preferences.
D) Create a standard SSRS subscription for each subscription schedule.

3. You are designing a SQL Server Reporting Services (SSRS) report for a bank. The bank has Automated Teller Machines (ATMs) in several regions. ATM operational data is stored in a Windows Azure SQL Database database.
The report must use a map to display the location and status of the ATMs as shown in the following exhibit. (Click the Exhibit button.)

You need to ensure that the report displays only a user selected map region.
Which source of spatial data should you use for the map?

A) Bing Maps layer
B) SQL Server spatial query
C) Map gallery
D) ESRI shape file

4. DRAG DROP
You need to configure the attribute relationship types for the Salesperson dimension.
Which configuration should you use?
To answer, drag the appropriate pair of attributes and attribute relationships from the list to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)

5. You are designing a customer dimension for a multidimensional OLAP (MOLAP) database. The dimension table will contain millions of rows of data.
Customer dimension attributes will come from the following two sources:
- An enterprise resource planning (ERP) system that contains millions of rows of data. Attributes from this source will be updated daily.
- A marketing database that contains thousands of rows of data representing customers' geographic information. Attributes from this source will be updated monthly.
Most report queries against the cube use attributes from both sources. Customers in the
cube dimension will frequently be filtered by the geographic attributes.
You need to design the dimension table and cube dimension to ensure that report queries perform well, and minimize the time required to reprocess cube attributes.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A) Create one dimension table that combines data from both sources. Create one cube dimension that references the dimension table.
B) Create a dimension table for each source. Create one cube dimension that joins the two dimension tables together.
C) Create one dimension table that combines data from both sources. Create a cube dimension for each source.
D) Create a dimension table for each source, and a cube dimension for each source.

Solutions: