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

1. Which job log message heading identifies the score in the job log?

A) main_program: This step has 3 datasets: ...
B) OSH script ...
C) main_program: Broadcasting score.
D) main_program: orchgeneral: loaded

2. 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) parallel mode
C) merged links
D) key partitioned
E) sorted

3. 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.

4. What stage allows for more than one reject link?

A) Lookup stage
B) Merge stage
C) Join stage
D) Funnel stage

5. Which statement is true about improving job performance when using Balanced Optimization?

A) To ensure that a particular stage can only be pushed into a source or target connector, you can set the Stage Affinity property to source or target.
B) Convert a job to use bulk staging tables for Big Data File stages.
C) Balance optimization attempts to balance the work between the source server, target sever, and the job.
D) If the job contains an Aggregator stage, data reduction stages will be pushed into a target data server by default.

Solutions: