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IBM InfoSphere Warehouse V9.5 Sample Questions:

1. An XML file that contains cube model and cube metadata is imported into the Design Studio which is connected to the cubing services repository. Which statement is true regarding adding the cube to a cube server?

A) Do nothing, the cube was defined in the repository when the XML file was imported into theDesign Studio.
B) Export the cube model metadata out of the Design Studio and import it into the cube server.
C) Export the cube model metadata out of the Design Studio and import it into the database that contains the star schema.
D) Choose to deploy the cube directly from the Design Studio.

2. You need to join three tables together in a data flow. The Table Join operator is placed onto thework area and only has two input ports defined. Which technique should you use to join the three tables?

A) Use the Table Join operator to join two of the tables and then use a second Table Joinoperator to outer join the third.
B) Add an additional input port to the Table Join operator.
C) Use the SQL Merge operator to join all three tables.
D) Use the Table Join operator to join two of the tables and then use the properties view to change the generated SQL.

3. Using InfoSphere Warehouse a physical data model provides the metadata for database objects that are useful for which task?

A) when designing data flows
B) when designing remote flows
C) when designing work flows
D) when designing process flows

4. After deploying an application, you might need to update it by making changes to one or more data flows. Deploying changes to an existing application is called delta deployment.
How do you package changes using delta deployment?

A) Package the data flow that has changed.
B) Package the control flow.
C) Package all the items that were originally packaged and use the same profile that was used.
D) Package only the operator or property that has changed.

5. A customer is having performance issues with a query against a cube they built using Cube Services. Examination of EXPLAIN output determines that the query did not usethe MQTs (summary tables). Which situation would cause the Optimizer to bypass the MQTs?

A) The query contains measures which are not included in the cube model but can be calculated from the data in the rows.
B) The query accesses data that is below the cube slice in the summary table.
C) The query contains functions on the attributes contained in the cube.
D) The query accesses data that is above the cube slice in the summary table.

Solutions: