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IBM C2090-303 Exam Syllabus Topics:

IBM InfoSphere DataStage v9.1 Sample Questions:

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

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

2. What two project environment variables can be considered in your parallel jobs to support your optimization strategy of partitioning and sorting? (Choose two.)

A) $APT_NO_PART_INSERTION
B) $APT_OPT_SORT_INSERTION
C) $APT_PARTITION_FLUSH_COUNT
D) $APT_TSORT_STRESS_BLOCKSIZE
E) $APT_RESTRICT_SORT_USAGE

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

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

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

5. You have made a copy of your job and made major changes to a job in your project. You now want to identify all the changes that have been made. What task will allow you to identify these changes?

A) Select the job, then right click Cross Project Compare.
B) Export the original job to a backup directory.
C) Export the modified job to the backup directory.
D) Select the job, then right click Compare against.

Solutions: