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IBM InfoSphere DataStage v9.1 Sample Questions:

1. 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) Explicitly specify hash partitioning and sorting on each input to the Join stage.
D) Set the environment variable $APT_SORT_INSERTION_CHECK_ONLY.
E) Add a parallel sort stage before each Join input, specifying the "Don't Sort, Previously Grouped" sort key mode for each key.

2. In your ETL application design you have found several areas of common processing requirements in the mapping specifications. These common logic areas found include: code validation lookups and name formatting. The common logic areas have the same logic, but the jobs using them would have different column metadata. Choose the action that gives you the best reusability design to effectively implement these common logic areas in your ETL application?

A) Create parallel routines for each of the common logic areas and for each of the unique column metadata formats.
B) Create separate jobs for each layout and choose the appropriate job to run within a job sequencer.
C) Create parallel shared containers and define columns combining all data formats.
D) Create parallel shared containers with Runtime Column Propagation (RCP) ON and define only necessary common columns needed for the logic.

3. Configuring the weighting column of an Aggregator stage affects which two options. (Choose two.)

A) Maximum Value
B) Uncorrected Sum of Squares
C) Average of Weights
D) Sum
E) Coefficient of Variation

4. A customer must compare a date column with a job parameter date to determine which output links the row belongs on. What stage should be used for this requirement?

A) Compare stage
B) Transformer stage
C) Filter stage
D) Switch stage

5. The parallel framework supports standard and complex data types in the SQL type column tab property. Identify the two complex data types? (Choose two.)

A) Linked list
B) VarChar
C) Vector
D) Binary trees
E) Subrecord

Solutions: