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IBM InfoSphere DataStage v8.5 Sample Questions:

1. You are asked to convert a relational source, as shown in the exhibit, into three separate XML files. How would you accomplish this task?

A) Set "Output mode" setting "Segregate" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
B) Set "Output mode" setting" Split rows" under "Transformation Settings" of the Output link of an XML Output stage.
C) Set "Output mode" setting "Single row" under "Transformation Settings" of the Output link of an XML Output stage.
D) Set "Output mode" setting "Break" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.

2. You write a job control routine to control a sequence of jobs running as a single unit of work. What are three valid job status types you can trap for? (Choose three.)

A) DSJS.RUNOK
B) DSJS.STOPPED
C) DSJS.START
D) DSJS.RUNERROR
E) DSJS.RUNFAILED

3. Which requirement must be met to read from a database in parallel using the ODBC connector?

A) Set the Enable partitioning property to Yes.
B) Configure environment variable $APT_MAX_TRANSPORT_BLOCK_SIZE.
C) ODBC connector always reads in parallel.
D) Configure environment variable $APT_PARTITION_COUNT.

4. Which environment variable determines where the temporary scores are stored?

A) APT_SAVE_SCORE
B) APT_JOB_MON
C) APT_DUMP_SCORE
D) APT_HIGH_SCORE

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

Solutions: