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IBM C2090-303 Exam Syllabus Topics:

IBM InfoSphere DataStage v9.1 Sample Questions:

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

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

2. Which statement is true about table definitions created in DataStage Designer?

A) When a table definition is created in one DataStage project, it is automatically available in other DataStage projects, but not outside of DataStage.
B) By default, table definitions created in DataStage Designer are visible to other Information Server products.
C) Table definitions created in DataStage Designer are local to DataStage and cannot be shared with other Information Server products.
D) Table definitions created in DataStage Designer are not by default available to other Information Server products, but they can be shared with other Information Server products.

3. Which option is required to identify a particular job player processes?Which option is required to identify a particular job? player processes?

A) Log onto the server and issue the command "ps -ef | grep ds".
B) Set $APT_DUMP_SCORE to true.
C) Set $APT_PM_SHOW_PIDS to true.
D) Use the DataStage Director Job administration screen to display active player processes.

4. You are using the Change Capture stage in your job design to identify changes made to the input link (before image) to obtain the results in the output link. This job will be using a multi-node configuration file when executed. What are two requirements on the input link data for the Change Capture stage? (Choose two.)

A) sequential mode
B) key partitioned
C) merged links
D) parallel mode
E) sorted

5. How must the input data set be organized for input into the Join stage? (Choose two.)

A) Hash partitioned
B) Unsorted
C) Sorted by Join key
D) Key partitioned
E) Entire partitioned

Solutions: