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IBM A2090-421 Exam Syllabus Topics:

IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:

1. In which two situations is it appropriate to use a Sparse Lookup? (Choose two.)

A) When the output of the Lookup stage needs to be hashed partitioned.
B) When invoking a stored procedure within a database per row in the streaming link.
C) When accessing DB2 data using the DB2 API stage.
D) When reference data is significantly larger than the streaming data (100:1).

2. Which condition is required to use the LastRowInGroup() function to determine a key break on a field?

A) The input data has to be sorted by the key field and DataStage must be able to detect that the data is sorted, for example, by the presence of a Sort stage.
B) The input data has to be sorted by the key field, but it is not required that DataStage be able to detect this. For example, the input data might be sorted before it is input to the job. (However, the job will abort at runtime if the data isn't sorted.)
C) The LastRowInGroup() function does not require the data to be either sorted or grouped by the key field. If necessary the LastRowInGroup() function will perform a sort.
D) The LastRowInGroup() function requires the data to be grouped by the key field, but the data does not have to be sorted.

3. What are two fundamental functions of the Information Server Source Code Integration based on the Eclipse Team framework? (Choose two.)

A) Rollback Changes
B) Replace from Source Code Control Workspace
C) Send to Source Code Control Workspace
D) Commit Changes

4. A copy of a production job was moved into a development project and modified to improve performance. You must prepare a report for a code review that documents the changes to the job.
How would you gather the information for this report? (Select two)

A) Cross Project Compare
B) diffapicmdline.exe
C) DSMakeJobReport
D) Compare Within

5. A job is using the Load method in the DB2 and Oracle Enterprise stage for parallel loading into a single table. The job fails at runtime and you see there are new table rows added. What would explain this result? (Select two)

A) Commit size is smaller than source data.
B) Load operations are parallel.
C) Load operations are sequential.
D) Some partitions completed before failure.

Solutions: