Download New Updated (Spring 2015) Microsoft 70-460 Actual Tests Topic 5, Tailspin Toys Case C

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Topic 5, Tailspin Toys Case C

 

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:

 

clip_image002The FactSalesPlan table stores data at month-level granularity. There are two scenarios: Forecast and Budget

clip_image002[1]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.

clip_image002[2]The DimRegion table stores a record for each sales region, classified by country. Sales regions do not relocate to different countries.

clip_image002[3]The DimCustomer table stores a record for each customer.

clip_image002[4]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.

clip_image002[5]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) Drocessesoooulate 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 Microsoft Azure SQL Database 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, analysis, and planning. The Sales cube metadata is shown in the following graphic.

 

clip_image003

 

Details of specific Sales cube dimensions are described in the following table.

 

clip_image005

 

The Sales cube dimension usage is shown in the following graphic.

 

clip_image006

 

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 % 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 Microsoft Azure SQL Database. 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 Microsoft Azure SQL Database 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 $5000 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 (KPD 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

ITdevelooers must create a librarv of SSRS reoorts based on the Sales RcDortina database. A shared SSRS data sourcenamed Sales Reporting must be created in a SharePoint data connections library.

 

Exhibit

Data Warehouse Schema:

 

clip_image007

 

 

QUESTION 20

You need to grant appropriate permissions to the SSISOwners SQL Server login. What should you do?

 

A.

Map the login to the msdb database. Assign the user to the db_owner role.

B.

Map the login to the msdb database. Assign the user to the ssis_admin role.

C.

Map the login to the SSISDB database. Assign the user to the db.ssisadmin role.

D.

Map the login to the SSISDB database. Assign the user to the db_owner role.

E.

Map the login to the SSISDB database. Assign the user to the ssis.admin role.

F.

Map the login to the msdb database. Assign the user to the db_ssisadmin role.

 

Correct Answer: E

 

 

 

 

 

 

 

QUESTION 21

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.)

 

clip_image008

 

Correct Answer:

clip_image009

 

 

QUESTION 22

DRAG DROP

You need to extend the schema design to store the product dimension data.

 

Which design should you use?

 

To answer, drag the appropriate table or tables to the correct location or locations in the answer area. (Fill from left to right. Answer choices may be used once, more than once, or not all.)

 

clip_image011

 

Correct Answer:

clip_image013

 

 

 

 

 

 

 

QUESTION 23

You need to define the trend calculation for the sales performance KPI. Which KPI trend MDX expression should you use?

 

clip_image015

 

A.

Option A

B.

Option B

C.

Option C

D.

Option D

 

Correct Answer: C

 

 

QUESTION 24

You need to configure the Scenario attribute to ensure that business users appropriately query the Sales Plan measure. What should you do? (Each correct answer presents part of the solution. Choose all that apply.)

 

A.

Set the AttributeHierarchyVisible property to False.

B.

Set the IsAggregatable property to False.

C.

Set the Usage property to Parent.

D.

set the DefaultMember property to the Forecast member.

E.

Set the AttributeHierarchyEnabled property to False.

F.

Set the RootMemberIf property to ParentIsMissing.

 

Correct Answer: CD

Explanation:

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.

 

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