Background
Part of the process when looking for candidates to bring into a data warehouse team is to ensure that you hire competent and reliable people. We recently had to fill a data warehouse position in our team and I setup the following technical exercise that helps measure technical competencies of candidates. Candidates were required to do the exercise at their own time but return to us the solution within 3 days after having been given the exercise.
Skills Measured

• Requirements Analysis & Documentation
• Dimensional Modelling
• SQL Server Server Transact SQL (T-SQL) Development
• SQL Server Integration Services (SSIS) Development
• SQL Server Reporting Services (SSRS) Report Development
• SQL Server Analysis Services (SSAS) Development
• Technical Solution Documentation

OLTP Data Source
[table id=3 /]
Exercise 1

1. Design, setup ETL (using SSIS – either using BIDS or SSDT) and populate a Fruits Data Mart. The mart should have the following:
   • Dimensions:
     • DimFruit
     • DimCustomer
     • DimMOP
   • Fact:
     • FactSales
2. Produce a dimensional star-schema model of your Fruits Data Mart

Exercise 2

1. Produce an SSRS Report which source data from Fruits Data Mart with a following business case:
   • As a user, I would like a breakdown of total quantities of fruits purchased by customer
   • I would also like to filter on Fruit name

Exercise 3

1. Setup a FruitSales Cube with all dimensions from Fruits Data Mart
2. In the same cube, FruitSales, setup an MOP hierarchy – with one level – MOP
3. In the same cube, FruitSales, setup a calculated member titled DerivedQuantities which multiplies quantities of all fruits by 2

Exercise 4

1. Produce an Excel Pivot Table Report which source data from FruitSales Cube with a following business case:
   • As a user, I would like a breakdown of DerivedQuantities of fruits purchased by customer
   • I would also like to filter on pivot using an MOP Slicer

CodeProject