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

1. Which two file stages allow you to configure rejecting data to a reject link? (Choose two.)

A) Complex Flat File Stage
B) Compare Stage
C) Lookup File Set Stage
D) Big Data File Stage
E) Data Set Stage

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

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

4. You have created three parallel jobs (Job A, B and C) in which the output of one job is the input to the other job. You are required to create processing that manages this data relationship of the jobs and provide job level restart-ability. What two tasks will accomplish these objectives? (Choose two.)

A) Create a Sequencer job that has triggered events configured allowing Job A to run first, then Job B to run when A completes successfully, and then Job C to run when Job B completes successfully.
B) Create two parallel shared containers that has the logic of Job B and Job C and include those shared containers in the correct flow order within the design of Job A.
C) Enable the 'Add checkpoints so container is restartable' option for each of the parallel shared containers.
D) Set the 'Add checkpoints so sequence is restartable' option in the Sequencer job.
E) Enable runtime column propagation for the job sequence running the jobs.

5. How does the Complex Flat File stage (CFF) support the use of OCCURS clauses within COBOL files?

A) Each element of the OCCURS clause is treated as a separate element in an array.
B) Each element of the OCCURS clause is treated as a subrecord.
C) The CFF stage cannot process COBOL files with OCCURS clauses.
D) Each element of the OCCURS clause is treated as a column of raw data.

Solutions: