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IBM InfoSphere DataStage v9.1 Sample Questions:

1. What is the correct method to process a file containing multiple record types using a Complex Flat File stage?

A) Manually break the file into multiple files by record type.
B) Define record definitions on the Constraints tab of the Complex Flat File stage.
C) Flatten the record types into a single record type.
D) Load a table definition for each record type on the Records tab of the Complex Flat File stage.

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

A) If the job contains an Aggregator stage, data reduction stages will be pushed into a target data server by default.
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) 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.

3. What two binding types are supported by Information Services Director (ISD) for a parallel job that is designed to be used as a service? (Choose two.)

A) STREAMS
B) EJB
C) SOAP
D) HDFS
E) SQL

4. Which two environment variables add additional reporting information in the job log for DataStage jobs? (Choose two.)

A) $OSH_EXPLAIN
B) $APT_STARTUP_STATUS
C) $APT_PM_STARTUP_CONCURRENCY
D) $APT_EXPORT_FLUSH_COUNT
E) $APT_IO_MAP

5. You are asked to optimize the fork join job design in the exhibit. This job uses the sort aggregator and a left outer join on the ZIP code column. Currently all partitioning is set to "Auto" and automatic sort insertion is allowed.

Which change will reduce the cost of partitioning that occurs in this job?

A) Use Entire partitioning on the input links to the Aggregator and Join stages.
B) Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages.
C) Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.
D) Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages.

Solutions: