You are designing a data warehouse that contains a product dimension.
The product dimension contains the original product attributes as well as the most recent set
of updated attributes. When a product is updated, the original product attributes must be
preserved.
The product dimension design must:
Support a Type 3 Slowly Changing Dimension (SCD) process
Minimize the total storage consumed
You need to design a solution that meets these requirements.
What should you do?

You are designing a complex SQL Server Integration Services (SSIS) project that uses the
Project Deployment model.
The project will contain between 15 and 20 packages. All the packages must connect to the
same data source and destination.
You need to define and reuse the connection managers in all the packages by using the
least development effort.
What should you do?

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 Windows Azure SQL
Database. 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 are performance tuning a SQL Server Integration Services (SSIS) package to load sales
data from a source system into a data warehouse that is hosted on Windows Azure SQL
Database.
The package contains a data flow task that has seven source-to-destination execution trees.
Only three of the source-to-destination execution trees are running in parallel.
You need to ensure that all the execution trees run in parallel.
What should you do?

You develop a SQL Server Integration Services (SSIS) package in a project by using the
Project Deployment Model. It is regularly executed within a multi-step SQL Server Agent job.
You make changes to the package that should improve performance.
You need to establish if there is a trend in the durations of the next 10 successful executions
of the package. You need to use the least amount of administrative effort to achieve this
goal.

What should you do?

You are designing a SQL Server Integration Services (SSIS) package that uses the Fuzzy
Lookup transformation.
The reference data to be used in the transformation changes with every package execution.
Common language runtime (CLR) integration cannot be enabled on the SQL Server
database where the reference table is located.
You need to configure the Fuzzy Lookup transformation in the most efficient manner.
What should you do?

You are developing a SQL Server Integration Services (SSIS) package to implement an
incremental data load strategy. The package reads data from a source system that uses the
SQL Server change data capture (CDC) feature.
You have added a CDC Source component to the data flow to read changed data from the
source system.
You need to add a data flow transformation to redirect rows for separate processing of
insert, update, and delete operations.
Which data flow transformation should you use?

You are designing a data warehouse that uses SQL Server 2012. You are preparing to
update the contents of a fact table that contains a non-clustered columnstore index.
You need to run an update statement against the table.
What should you do first?

You are using SQL Server Data Tools to develop a SQL Server Integration Services (SSIS)
project.
The first package that you create in this project contains a package connection that
accesses a Microsoft Excel file. Additional packages in the project must also access this file.
You need to define and reuse the Excel file connection in all project packages.
What should you do?

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 Windows Azure SQL
Database. 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?