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IBM InfoSphere DataStage v9.1 Sample Questions:

1. In the exhibit, a Funnel stage has two input links. Input 1 (Seq_File) comes from a Sequential File stage with "Readers per Node" set to "2". Input 2 (Dataset) comes from a dataset created with 3 partitions. In the Funnel stage, the funnel type is set to "Sequence".

The parallel configuration file contains 4 nodes. How many instances of the Funnel stage run in parallel?

A) 4
B) 6
C) 2
D) 1

2. What role must a user have to delete shared metadata assets from the repository?

A) Common Metadata Administrator
B) Information Analyzer Administrator
C) Business Glossary Administrator
D) DataStage Administrator

3. Which two statements are true about stage variables in a Transformer Stage? (Choose two.)

A) Varchar stage variables can be initialized with spaces.
B) Stage variables cannot be set to NULL.
C) A stage variable in one Transformer can refer to a stage variable in another Transformer, as long as the second Transformer was processed earlier in the job flow.
D) Stage variables can be set to NULL.
E) Stage variables are refreshed with default values before each new input row is processed.

4. Identify two different types of custom stages you can create to extend the Parallel job syntax? (Choose two.)

A) Basic stage
B) Input stage
C) Custom stage
D) Wrapped stage
E) Group stage

5. A DataStage job uses an Inner Join to combine data from two source parallel datasets that were written to disk in sort order based on the join key columns. Which two methods could be used to dramatically improve performance of this job? (Choose two.)

A) Unset the Preserve Partitioning flag on the output of each parallel dataset.
B) Disable job monitoring.
C) Add a parallel sort stage before each Join input, specifying the "Don't Sort, Previously Grouped" sort key mode for each key.
D) Set the environment variable $APT_SORT_INSERTION_CHECK_ONLY.
E) Explicitly specify hash partitioning and sorting on each input to the Join stage.

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