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IBM Assessment: IBM InfoSphere DataStage v9.1 Assessment Sample Questions:

1. Two new columns have been deleted from a sequential file that a number of DataStage jobs write to. You have imported a table definition for the changed file. How can you determine what jobs might be affected by this change?

A) Select the original table definition, right-click, then click on the Where used command.
B) Select the new table definition, right-click, then click on the Where used command.
C) Select the original table definition, right-click, then click on the Find dependencies command.
D) Select the new table definition, right-click, click on the Compare against command, then select original table definition.

2. The derivation for a stage variable is: Upcase(input_column1) : ' ' : Upcase(input_column2). Suppose that input_column1 contains a NULL value. Assume the legacy NULL processing option is turned off. Which behavior is expected?

A) The job aborts.
B) The target stage variable is populated with spaces or zeros depending on the stage variable data type.
C) The input row is either dropped or rejected depending on whether the Transformer has a reject link.
D) NULL is written to the target stage variable.

3. Which two statements are true about Data Sets? (Choose two.)

A) Data sets contain ASCII data.
B) Data Sets require repartitioning.
C) Data Sets require import/export conversions.
D) Data Sets preserve partitioning.
E) Data Sets represent persistent data.

4. Which derivations are executed first in the Transformer stage?

A) Loop variable derivations
B) Input column derivations
C) Output column derivations
D) Stage variable derivations

5. A job validates account numbers with a reference file using a Join stage, which is hash partitioned by account number. Runtime monitoring reveals that some partitions process many more rows than others. Assuming adequate hardware resources, which action can be used to improve the performance of the job?

A) Change the number of nodes in the configuration file.
B) Replace the Join with a Merge stage.
C) Use Round Robin partitioning on the stream and Entire partitioning on the reference.
D) Add a Sort stage in front of the Join stage. Sort by account number.

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