You are designing a data warehouse for a software distribution business that stores sales by
software title. It stores sales targets by software category. Software titles are classified into
subcategories and categories. Each software title is included in only a single software
subcategory, and each subcategory is included in only a single category. The data
warehouse will be a data source for an Analysis Services cube.
The data warehouse contains two fact tables:
factSales, used to record daily sales by software title
factTarget, used to record the monthly sales targets by software category
Reports must be developed against the warehouse that reports sales by software title,
category and subcategory, and sales targets.
You need to design the software title dimension. The solution should use as few tables as
possible while supporting all the requirements.
What should you do?

You are designing a data warehouse hosted on SQL Azure. The data warehouse currently
includes the dimUser and dimDistrict dimension tables and the factSales fact table. The
dimUser table contains records for each user permitted to run reports against the
warehouse; and the dimDistrict table contains information about sales districts.
The system is accessed by users from certain districts, as well as by area supervisors and
users from the corporate headquarters.
You need to design a table structure to ensure that certain users can see sales data for only
certain districts. Some users must be permitted to see sales data from multiple districts.
What should you do?

You are reviewing the design of a customer dimension table in an existing data warehouse
hosted on SQL Azure.
The current dimension design does not allow the retention of historical changes to customer
attributes such as Postcode.
You need to redesign the dimension to enable the full historical reporting of changes to
multiple customer attributes including Postcode.
What should you do?

You are implementing the indexing strategy for a fact table in a data warehouse. The fact
table is named Quotes. The table has no indexes and consists of seven columns:
• [ID]
• [QuoteDate]
• [Open]
• [Close]
• [High]
• [Low]
• [Volume]
Each of the following queries must be able to use a columnstore index:
• SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN ‘20100101’ AND ‘20101231’.
• SELECT AVG([High] – [Low]) AS [AverageRange] FROM Quotes WHERE
[QuoteDate] BETWEEN ‘20100101’ AND ‘20101231’.
• SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN ‘20100101’ AND ‘20101231’.
You need to ensure that the indexing strategy meets the requirements. The strategy must
also minimize the number and size of the indexes.
What should you do?

You are designing an enterprise star schema that will consolidate data from three
independent data marts. One of the data marts is hosted on SQL Azure.

Most of the dimensions have the same structure and content. However, the geography
dimension is slightly different in each data mart.
You need to design a consolidated dimensional structure that will be easy to maintain while
ensuring that all dimensional data from the three original solutions is represented.
What should you do?

To facilitate the troubleshooting of SQL Server Integration Services (SSIS) packages, a
logging methodology is put in place.
The methodology has the following requirements:
The deployment process must be simplified.
All the logs must be centralized in SQL Server.
Log data must be available via reports or T-SQL.
Log archival must be automated.
You need to configure a logging methodology that meets the requirements while minimizing
the amount of deployment and development effort.
What should you do?

You are developing a SQL Server Integration Services (SSIS) project that copies a large
amount of rows from a SQL Azure database. The project uses the Package Deployment
Model. This project is deployed to SQL Server on a test server.
You need to ensure that the project is deployed to the SSIS catalog on the production
server.
What should you do?

You are developing a SQL Server Integration Services (SSIS) package.
To process complex scientific data originating from a SQL Azure database, a custom task
component is added to the project.
You need to ensure that the custom component is deployed on a test environment correctly.
What should you do?

DRAG DROP
A SQL Server Integration Services (SSIS) project has been deployed to the SSIS catalog.
The project includes a project Connection Manager to connect to the data warehouse.
The SSIS catalog includes two Environments:
Development
QA
Each Environment defines a single Environment Variable named ConnectionString of type
string. The value of each variable consists of the connection string to the development or QA
data warehouses.
You need to be able to execute deployed packages by using either of the defined
Environments.
Which three 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.)

You develop and deploy a SQL Server Integration Services (SSIS) package.
The package is stored in the file system.
You need to execute the package without importing it to the SSIS server.
What should you use to execute the package? (Each correct answer presents a complete
solution. Choose all that apply.)