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IBM InfoSphere DataStage v8.5 Sample Questions:

1. Which three statements are true about stage variables in a Transformer Stage? (Choose three.)

A) Stage variables are refreshed with default values before each new input row is processed.
B) The expression executed for a stage variable can refer to a stage variable which is executed later.
C) Varchar stage variables can be initialized with spaces.
D) Stage variables can be set to NULL.
E) A stage variable in one Transformer can refer to a stage variable in another Transformer, as long as the second Transformer was processed earlier in the job flow.

2. What is the correct restructure stage to extract data from four input columns (three of which carry vectors) and output them into two columns with one vectors in a subrecord and the non-vector carrying column being passed through the stage?

A) Split Subrecord Stage
B) Column Export Stage
C) Column Import Stage
D) Make Subrecord Stage

3. You are using the Change Capture stage in your job design to identify changes made to the input link (before image) to obtain the results in the output link. This job will be using a multi-node configuration file when executed. By default, the Change Capture stage produces an output change link with which two characteristics? (Choose two.)

A) added column named Difference_Value
B) Table Definition based on the keys of the input link
C) Table Definition based on the after input link
D) added column named Change_Code

4. Refer to the exhibit.

You submit a job from DataStage Director and then log onto your DataStage Linux server to issue the command "ps-ef | grepds" and receive the following screen:
Which process is the section leader for node2?

A) 7220
B) 7219
C) 7221
D) 7216

5. A dataset was created earlier with one partition, with the Preserve Partitioning flag set. A subsequent job using a 2-node configuration file reads from that dataset, passing data to a Transformer stage with "Same" partitioning.
Which two statements are true? (Select two)

A) Setting the Preserve Partitioning flag to "Set" will run one instance of the Transformer stage.
B) The DataStage job will abort.
C) DataStage will repartition the data and run one instance of the Transformer stage.
D) Inserting a Sort stage prior to the Transformer stage will force its parallel execution.
E) Setting the Preserve Partitioning flag to "Clear" will generate two instances of the Transformer stage.

Solutions: