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IBM InfoSphere DataStage v8.5 Sample Questions:

1. Which three data types can the ODBC Enterprise stage handle? (Choose three.)

A) SQL_BIGINT
B) SQL_TIMESTAMP
C) SQL_VARBINARY
D) SQL_CLOB
E) SQL_SMALLDATETIME

2. A scenario requires selecting only the most recent transactions for each of 2 million unique customers, from a 20 million row DB2 source table containing order history. Which parallel job design would satisfy this functional requirement?

A) Using the DB2 Enterprise stage, select all rows. Perform a unique Sort using customer number and order date sort keys in ascending order.
B) Using the DB2 API stage, select all rows. Use a Sort stage with customer number and order date sort keys in ascending order, then Remove Duplicates with Last Duplicate to retain.
C) Select all rows using the ODBC Connector stage, use a Sort Aggregator on customer number key to select the maximum order date.
D) Using the Dynamic Relational stage, use custom SQL to select all DISTINCT customer numbers from the order history table.

3. You are responsible for managing job changes for you project team. You must update the source code repository through Eclipse Team source code integration whenever a developer notifies you of an asset change.
What two tasks allow you to update the source code repository with the changed asset? (Select two)

A) Right-click the asset and click the Send to Source Control Work Space.
B) Right-click the asset and click the Build command
C) Right-click the asset and click the Team command to commit the artifact to the source control system.
D) Right-click the asset and click the Deploy command

4. The given job processes large volumes of data using default partitioning, with sort/partition insertion enabled. Both source Data Sets are partitioned and sorted on the merge key. Assuming that the business logic allows all of the following actions, which design change would improve the performance of this job?

A) Set the "Preserve Partitioning" option on both Data Sets and replace the Merge stage with a Sort Funnel stage.
B) Before each input to the Merge stage, insert a Sort stage with "Don't Group, Previously Grouped" set on the merge key. Specify SAME partitioning on all inputs.
C) Use the Data Set Management Utility to combine both input Data Sets into a single source Data Set.
D) Set the buffer mode to "no buffer" on the output links of both Data Sets.

5. The DB2 and Oracle Enterprise stages support logged and non-logged DBMS table operations. What is the non-logged operation that is supported by the DB2 and Oracle Enterprise stages?

A) Delete
B) Load
C) Insert
D) Update

Solutions: