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IBM C2090-421 Exam Syllabus Topics:

IBM InfoSphere DataStage v8.5 Sample Questions:

1. You have finished changes to many Jobs and Shared containers. You must export all of your changes and integrate them into a test project with other objects. What are two ways to select the objects you changed for the export? (Select two)

A) Use Multiple Job Compile to locate objects that need to be compiled.
B) Sort the jobs by timestamp.
C) Select a folder in your repository tree, right click and choose "Objects that I last modified".
D) Using the advanced find dialog, specify in the last modified panel. the date range of the jobs and appropriate user name.

2. A job design consists of an input SequentialFile stage, followed by a Peek stage, a Transformer stage, a Sort stage and finally an output Dataset stage. The job executes on an SMP system with a configuration file defined with 4 nodes.
The environment variable $APT_DISABLE_COMBINATION is set to "True". How many processes will this job create?

A) 17
B) 21
C) 12
D) 19

3. A job validates credit card numbers with a reference file using a Join stage, which is hash partitioned by card number. Examination of Job Monitor reveals that some partitions process many more rows than others. Assuming adequate hardware resources, which action can be used to improve the performance of the job?

A) Replace the Join with a Merge stage.
B) Break the input file into multiple files.
C) Use Round Robin partitioning on the stream and Entire partitioning on the reference.
D) Alter the number of partitions in the $APT_CONFIG_FILE.

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

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

5. Using a DB2 for z/OS source database, a 200 million row source table with 30 million distinct values must be aggregated to calculate the average value of two column attributes. What would provide optimal performance while satisfying the business requirements?

A) Select all source rows using a DB2 API stage. Aggregate using a Sort Aggregator.
B) Using custom SQL with an ORDER BY clause based on key columns, select all source rows using the DB2 API stage. Aggregate using a Hash Aggregator.
C) Select all source rows using a DB2 Enterprise stage, use a parallel Sort stage with the specified sort keys, calculate the average values using a parallel Transformer with stage variables and output link constraints.
D) Using custom SQL with AVG functions and a DISTINCT clause, select all source rows using a DB2 Enterprise stage.

Solutions: