Q1. - (Topic 9)
You deploy a PowerPivot workbook to a document library in a Microsoft SharePoint site. Workbook data comes from two different sources: Source A and Source B.
The workbook contains three small lookup tables from Source A, and five tables with a total of 20 million rows from Source B. Data from Source A is updated at 9:00 A.M. and data from Source B is updated throughout the day.
You have the following requirements:
. Refresh the PowerPivot workbook with updated lookup data as soon as possible. . Minimize load on the source systems and the SharePoint environment during business hours. . Minimize user involvement in the data refresh process.
You enable automatic data refresh for the workbook.
You need to configure a data refresh schedule for the workbook that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Set the default schedule to refresh outside of business hours. Do not manually refresh the workbook.
B. Set the default schedule to refresh outside of business hours. Manually refresh the workbook at 9:00 A.M. every day.
C. Set the default schedule to refresh at 9:00 A.M. every day. Create a separate schedule for Source B's connection to refresh outside of business hours.
D. Set the default schedule to refresh at 3:00 P.M. every day. Do not create individual source schedules.
E. Set the default schedule to refresh at 9:00 A.M. every day. Do not create individual source schedules.
Answer: C
Q2. - (Topic 10)
You are developing a BI Semantic Model (BISM) that will be used to analyze complex budgeting and forecast data sourced from a financial database. The model will be deployed to a server with 28 GB of RAM.
The source data, located in a SQL Server data warehouse, is currently using 15 terabytes of disk space and is doubling in size every month. The model will be queried by staff in the accounting department by using Microsoft Excel 2010.
You need to ensure the highest query performance and scalability for the accounting department queries.
Which project type should you choose?
A. Tabular project that uses the In-Memory query mode
B. Tabular project that uses the DirectQuery query mode
C. Multidimensional project
D. PowerPivot workbook deployed to SharePoint
Answer: C
Q3. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) tabular project. The model includes a table named Sales. The Sales table includes a single date column.
The Sales table must meet the following requirements:
. Queries must be able to return all rows. . Must be able to support four different processing schedules for different date ranges. . Date ranges must not include any overlapping data.
You need to implement a solution that meets the requirements.
What should you do?
A. Create four partitions for the Sales table. Use row filter queries for each partition.
B. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for all four tables.
C. Create four partitions for the Sales table. Create four roles. Use the same row filter queries for each role and partition.
D. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for each of the four tables.
Answer: A
Q4. - (Topic 9)
You are modifying a SQL Server Reporting Services (SSRS) report for a SQL Server Analysis Services (SSAS) cube. The report defines a report parameter of data type Date/Time with which users can filter the report by a single date. The parameter value cannot be directly used to filter the Multidimensional Expressions (MDX) query for the dataset.
You need to ensure that the report displays data filtered by the user-entered value. You must achieve this goal by using the least amount of development effort.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Edit the dataset query parameter. Change the Value property of the report parameter to an expression that uses the same format as the date dimension member key value.
B. Edit the dataset query parameter. Change the Name property of the dataset query parameter so that it points to a name value for each date dimension member.
C. Edit the dataset query parameter. Create a subcube subquery that uses the StrToSet MDX function and accepts the report parameter value.
D. Change the dataset query to Transact-SQL (T-SQL). Use the OPENROWSET function to query the cube. Output the cube results to the T-SQL query and use a Convert function to change the report parameter value into the same format as the date dimension member.
Answer: A
Q5. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) cube. The cube contains several dimensions, a local measure group, and a linked measure group. Both measure groups use MOLAP partitions.
You need to write-enable one of the linked measure group partitions to support Microsoft Excel 2010 PivotTable What-If Analysis.
What should you do before the partition can be write-enabled?
A. Implement the cube as a local cube.
B. Implement the linked measure group as a local measure group.
C. Ensure that the measure group measures only use semiadditive aggregation functions.
D. Ensure that the measure group measures only use nonadditive aggregation functions
Answer: B
Q6. DRAG DROP - (Topic 10)
You are developing a SQL Server Reporting Services (SSRS) report to display a list of
employees. The report will be embedded into a Microsoft SharePoint Server Web Part Page of the company intranet site.
The report consists of a single table. The design of the table is shown in the following diagram.
You need to configure the EmailAddress detail text box to create a new email message. The email message must be addressed to the email address that was clicked by the user.
Which four actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Answer:
312. - (Topic 10)
You are designing a SQL Server Reporting Services (SSRS) report to display product names and their year-to-date (YTD) sales quantity YTD sales quantity values are classified in three bands: High Sales, Medium Sales, and Low Sales.
You add a table to the report. Then you define two columns based on the fields named ProductName and YTDSalesQuantity.
You need to set the color of the product text to red, yellow, or blue, depending on the value of the YTD sales quantity values.
What should you do?
A. Use an expression for the TextDecoration property of the text box.
B. Use an expression for the Style property of the text box.
C. Add an indicator to the table.
D. Use an expression for the Font property of the text box.
E. Use an expression for the Color property of the text box.
Q7. - (Topic 2)
You need to modify the Sales cube to support the planning requirements.
Which SSA5 feature should you use?
A. At KPI
B. A translation
C. A writeback partition
D. A perspective
Answer: C
Q8. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) multidimensional database.
The underlying data source does not have a time dimension table. You need to implement a time dimension.
What should you do?
A. Add an existing SSAS database time dimension as a cube dimension.
B. Use the SQL Server Data Tools Dimension Wizard and generate a time table on the server.
C. Use the SQL Server Data Tools Dimension Wizard and generate a time table in the data source.
D. Use the SQL Server Data Tools Dimension Wizard and generate a time dimension by using the Use an existing table option.
E. Create a CSV file with time data and use the DMX IMPORT statement to import data from the CSV file.
F. Create a time dimension by using the Define time intelligence option in the Business Intelligence Wizard.
G. Create a time dimension by using the Define dimension intelligence option in the Business Intelligence Wizard.
H. Create a script by using a sample time dimension from a different multidimensional database. Then create a new dimension in an existing multidimensional database by executing the script.
Answer: B
Q9. - (Topic 2)
You need to develop an SSRS report that retrieves currency exchange rate data.
How should you configure the data source for the report?
A. Use the Windows Azure SQL Database data source type and then set Windows authentication for the credentials.
B. Use the Windows Azure SQL Database data source type and then set a username and password for the credentials.
C. Use the SQL Server data source type and then set a username and password for the credentials.
D. Use the SQL Server data source type and then set Windows authentication for the credentials.
Answer: B
Topic 3, Tailspin Toys Case A
Background You are the business intelligence (BI) solutions architect for Tailspin Toys.
You produce solutions by using SQL Server 2012 Business Intelligence edition and Microsoft SharePoint Server 2010 Service Pack 1 (SP1) Enterprise edition.
Technical Background
Data Warehouse The data warehouse is deployed on a SQL Server 2012 relational database. A subset of the data warehouse schema is shown in the exhibit. (Click the Exhibit button.)
The schema shown does not include the table design for the product dimension.
The schema includes the following tables: . FactSalesPlan table stores data at month-level granularity. There are two scenarios: Forecast and Budget. . The DimDate table stores a record for each date from the beginning of the company's operations through to the end of the next year. . The DimRegion table stores a record for each sales region, classified by country.
Sales regions do not relocate to different countries. . The DimCustomer table stores a record for each customer. . The DimSalesperson table stores a record for each salesperson. If a salesperson
relocates to a different region, a new salesperson record is created to support historically accurate reporting. A new salesperson record is not created if a salesperson's name changes.
. The DimScenario table stores one record for each of the two planning scenarios.
All relationships between tables are enforced by foreign keys. The schema design is as denormalized as possible for simplicity and accessibility. One exception to this is the DimRegion table, which is referenced by two dimension tables.
Each product is classified by a category and subcategory and is uniquely identified in the source database by using its stock-keeping unit (SKU). A new SKU is assigned to a product if its size changes. Products are never assigned to a different subcategory, and subcategories are never assigned to a different category.
Extract, transform, load (ETL) processes populate the data warehouse every 24 hours.
ETL Processes One SQL Server Integration Services (SSIS) package is designed and developed to populate each data warehouse table. The primary source of data is extracted from a SQL Azure database. Secondary data sources include a Microsoft Dynamics CRM 2011 on-premises database. ETL developers develop packages by using the SSIS project deployment model. The ETL developers are responsible for testing the packages and producing a deployment file. The deployment file is given to the ETL administrators. The ETL administrators belong to a Windows security group named SSISOwners that maps to a SQL Server login named SSISOwners.
Data Models The IT department has developed and manages two SQL Server Analysis Services (SSAS) BI Semantic Model (BISM) projects: Sales Reporting and Sales Analysis. The Sales Reporting database has been developed as a tabular project. The Sales Analysis database has been developed as a multidimensional project. Business analysts use PowerPivot for Microsoft Excel to produce self-managed data models based directly on the data warehouse or the corporate data models, and publish the PowerPivot workbooks to a SharePoint site.
The sole purpose of the Sales Reporting database is to support business user reporting and ad-hoc analysis by using Power View. The database is configured for DirectQuery mode and all model queries result in SSAS querying the data warehouse. The database is based on the entire data warehouse.
The Sales Analysis database consists of a single SSAS cube named Sales. The Sales cube has been developed to support sales monitoring, analysts, and planning. The Sales cube metadata is shown in the following graphic.
Details of specific Sales cube dimensions are described in the following table.
The Sales cube dimension usage is shown in the following graphic.
The Sales measure group is based on the FactSales table. The Sales Plan measure group
is based on the FactSalesPlan table. The Sales Plan measure group has been configured
with a multidimensional OLAP (MOLAP) writeback partition. Both measure groups use
MOLAP partitions, and aggregation designs are assigned to all partitions. Because the
volumes of data in the data warehouse are large, an incremental processing strategy has
been implemented.
The Sales Variance calculated member is computed by subtracting the Sales Plan forecast
amount from Sales. The Sales Variance °/o calculated member is computed by dividing
Sales Variance by Sales. The cube's Multidimensional Expressions (MDX) script does not
set any color properties.
Analysis and Reporting
SQL Server Reporting Services (SSRS) has been configured in SharePoint integrated
mode.
A business analyst has created a PowerPivot workbook named Manufacturing
Performance that integrates data from the data warehouse and manufacturing data from an
operational database hosted in SQL Azure. The workbook has been published in a
PowerPivot Gallery library in SharePoint Server and does not contain any reports. The
analyst has scheduled daily data refresh from the SQL Azure database. Several SSRS
reports are based on the PowerPivot workbook, and all reports are configured with a report
execution mode to run on demand.
Recently users have noticed that data in the PowerPivot workbooks published to
SharePoint Server is not being refreshed. The SharePoint administrator has identified that
the Secure Store Service target application used by the PowerPivot unattended data
refresh account has been deleted.
Business Requirements
ETL Processes
All ETL administrators must have full privileges to administer and monitor the SSIS catalog,
and to import and manage projects.
Data Models
The budget and forecast values must never be accumulated when querying the Sales
cube. Queries should return the forecast sales values by default.
Business users have requested that a single field named SalespersonName be made
available to report the full name of the salesperson in the Sales Reporting data model.
Writeback is used to initialize the budget sales values for a future year and is based on a
weighted allocation of the sales achieved in the previous year.
Analysis and Reporting
Reports based on the Manufacturing Performance PowerPivot workbook must deliver data
that is no more than one hour old.
Management has requested a new report named Regional Sales. This report must be
based on the Sales cube and must allow users to filter by a specific year and present a grid
with every region on the columns and the Products hierarchy on the rows. The hierarchy
must initially be collapsed and allow the user to drill down through the hierarchy to analyze
sales. Additionally, sales values that are less than S5000 must be highlighted in red.
Technical Requirements
Data Warehouse
Business logic in the form of calculations should be defined in the data warehouse to
ensure consistency and availability to all data modeling experiences.
The schema design should remain as denormalized as possible and should not include
unnecessary columns.
The schema design must be extended to include the product dimension data.
ETL Processes
Package executions must log only data flow component phases and errors.
Data Models
Processing time for all data models must be minimized.
A key performance indicator (KPI) must be added to the Sales cube to monitor sales
performance. The KPI trend must use the Standard Arrow indicator to display improving,
static, or deteriorating Sales Variance % values compared to the previous time period.
Analysis and Reporting
IT developers must create a library of SSRS reports based on the Sales Reporting
database. A shared SSRS data source named Sales Reporting must be created in a
SharePoint data connections library.
Q10. - (Topic 10)
You are developing a SQL Server Analysis Services (SSAS) cube.
The data warehouse has a table named FactStock that is used to track movements of stock. A column named MovementQuantity contains quantities of stock. A positive quantity is used for input and negative quantity is used for output. A column named MovementDate is related to the time dimension. The quantity in stock, at a given point in time, can be evaluated as the sum of all MovementQuantity values at that point in time.
You need to create a measure that calculates the quantity in stock value.
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 property 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.
Answer: H