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

1. Which statement is true when using the SaveInputRecord() function in a Transformer stage.

A) You can only use the SaveInputRecord() function in Loop variable derivations.
B) You must retrieve all saved queue records using the GetSavedInputRecord() function within Loop variable derivations.
C) You must retrieve all saved queue records using the GetSavedInputRecord() function within Stage variable derivations.
D) You can access the saved queue records using Vector referencing in Stage variable derivations.

2. Which derivations are executed last in the Transformer stage?

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

3. You are using the Complex Flat File stage as a source in your job. What are two types of data specifically supported by the Complex Flat File stage for your job? (Choose two.)

A) XML files.
B) Mainframe data sets with VSAM files.
C) Data from files that contain Hadoop record types.
D) Data from flat files that contain multiple record types.
E) Mainframe data files with DB2 tables.

4. Your job is using the Sequential File stage as a source. Identify two stage property configurations that will allow you to accomplish parallel reads? (Choose two.)

A) Read Method property set to 'File Pattern' and the 'Readers per Node' property value set to greater than 1.
B) Read Method property set to 'Specific File(s)' with only one file specified and the 'Readers Per Node' property value set to greater than 1.
C) Read Method property is set to 'Parallel' with the Key property set to a Input column that has the file names.
D) Read Method property set to 'File Pattern' and the environment variable $APT_IMPORT_PATTERN_USES_FILESET is set to 'FALSE'.
E) Read Method property set to 'Specific File(s)' with more than one file specified and each file specified has the same format/column properties.

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) Add a parallel sort stage before each Join input, specifying the "Don't Sort, Previously Grouped" sort key mode for each key.
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) Unset the Preserve Partitioning flag on the output of each parallel dataset.
E) Disable job monitoring.

Solutions: