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You need to redesign the dimension to enable the full historical reporting of changes to multiple student attr

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

You need to reduce the report processing time and minimize the growth of the database

You are reviewing the design of an existing fact table named factSales, which is loaded incrementally
from a SQL Azure database by a SQL Server Integration Services (SSIS) package each hour. The fact table
has approximately 4 billion rows and is dimensioned by product, sales date, and sales time of day.

The database administrator is concerned about the rapid growth of the database and users experience
poor reporting performance against this database. Reporting requirements have recently changed and
the only remaining report that uses this fact table reports sales by product name, sale month, and sale
year. No other reports will be created against this table.
You need to reduce the report processing time and minimize the growth of the database.
What should you do?

You need to add the new capability to all the packages without copying the code between packages

You are adding a new capability to several dozen SQL Server Integration Services (SSIS) packages.
The new capability is not available as an SSIS task. Each package must be extended with the same new
capability.
You need to add the new capability to all the packages without copying the code between packages.
What should you do?

Which transformation types should you use?

You are creating a SQL Server Integration Services (SSIS) package to retrieve product data from two
different sources. One source is hosted in a SQL Azure database. Each source contains products for
different distributors.
Products for each distributor source must be combined for insertion into a single product table
destination.
You need to select the appropriate data flow transformation to meet this requirement.
Which transformation types should you use? (Each answer represents a complete solution. Choose all
that apply.)

Which Change Type values should you select?

DRAG DROP
You are developing a SQL Server Integration Services (SSIS) package that imports data into a data
warehouse.You are developing the part of the SSIS package that populates the ProjectDates dimension table. The
business key of the ProjectDates table is the ProjectName column.
The business user has given you the dimensional attribute behavior for each of the four columns in the
ProjectDates table:
• ExpectedStartDate – New values should be tracked over time.
• ActualStartDate – New values should not be accepted.
• ExpectedEndDate – New values should replace existing values.
• ActualEndDate – New values should be tracked over time.
You use the SSIS Slowly Changing Dimension Transformation.
You must configure the Change Type value for each source column.
Which Change Type values should you select? (To answer, drag the appropriate value from the list of
values to the correct location or locations in the answer area.)

Which three actions should you perform in sequence?

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:
• Test
• Production
Each Environment defines a single Environment Variable named ConnectionString of type string. The
value of each variable consists of the connection string to the test or production data warehouses.
You need 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.)

Which data flow transformation should you use?

You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a
source system into a data warehouse hosted on SQL Azure. One of the columns in the data source is
named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in the data
flow.
You need to enable separate processing streams for a subset of rows based on the source product code.
Which data flow transformation should you use?

You need to ensure that the Merge Join transformation works correctly without additional transformations

You are developing a data flow transformation to merge two data sources. One source contains product
data and the other source contains data about the country in which the product was manufactured.
Both data sources contain a two-character CountryCode column and both use SQL Server. Both data
sources contain an ORDER BY clause to sort the data by the CountryCode column in ascending order.
You use a Merge Join transformation to join the data.

You need to ensure that the Merge Join transformation works correctly without additional
transformations. What should you do? (Each answer presents a part of the solution. Choose all that
apply.)