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IBM Websphere Datastage V.8.0 Sample Questions:

1. You are assigned to correct a job from another developer. The job contains 20 stages sourcing data from two Data Sets and many sequential files. The annotation in the job indicates who wrote the job and when, not the objective of the job. All link and stage names use the default names. One of the output columns has an incorrect value which should have been obtained using a lookup. What could the original developer have done to make this task easier for maintenance purposes?

A) Name all stage and links the same.
B) Name all stages and links based on what they do.
C) Indicate all stage names within the job annotation.
D) Name all stage and links with column names and ideas.

2. Which Oracle Enterprise stage read property can be set using db options to tune job performance?

A) partitionsize
B) arraysize
C) transactsize
D) memsize

3. You have a job sequence that runs J1, J2, and J3 sequentially. It has been compiled with "Add checkpoints so sequence is restartable". J1 must execute every run even after a
failure. Which two properties must be selected to ensure that J1 is run each time, even after a failure? (Choose two.)

A) Set trigger on the J1 Activity stage to "Unconditional".
B) In the J1 Activity stage set the Execution action to "Reset if required, then run.".
C) Use the Nested Condition Activity with a trigger leading to J1; set the trigger expression type to "Unconditional".
D) Set the J1 Activity stage to "Do not checkpoint run.".

4. You would like to verify that a job in the QA project is identical to the one in development project. How can you do this?

A) Compare the job description annotation fields of the two jobs.
B) Compare the job version number.
C) Select the job in question and use the cross project compare utility.
D) From the repository tree, select the cross project compare utility.

5. Click the Exhibit button.
A customer is complaining of poor performance from the job shown in the exhibit, which aggregates and joins on ZIP code. Currently all partitioning is set to "Auto" and sort/partition insertion is allowed. What would give the best performance improvement for the job?

A) Hash partition and sort on ZIP code prior to the Copy stage and use entire partitioning on the output of the Aggregator stage.
B) Hash partition and sort on ZIP code prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.
C) Use same partitioning on all input links in the job; create the input data set by hash-partitioning its input on ZIP code.
D) Hash partition and sort on ZIP code on the input links to the Aggregator and Join stages.

Solutions: