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IBM InfoSphere DataStage v8.5 Sample Questions:

1. How are Host Systems added to the Shared Metadata repository? (Select two)

A) Use the Import/Export Manager when importing shared metadata.
B) Use the DataStage Administrator application to import new Host Systems.
C) Use the shared table creation wizard from the DataStage client to add a new Host System.
D) Select Repository > Metadata Sharing > Management from the main menu to open the Shared Metadata Management tool

2. Which three of the following options does the dsjob command have? (Choose three.)

A) Listing projects, jobs, stages, links, and parameters
B) Setting an alias for a job
C) Stopping a job
D) Specifying an appropriate log file

3. Which three actions can improve sort performance in a DataStage job? (Choose three.)

A) Adjust the "Restrict Memory Usage" option in the Sort stage.
B) Minimize the number of sorts used within a job flow.
C) Run the job sequentially so that only one sort process is invoked.
D) Specify only the key columns which are necessary.
E) Use the stable-sort option to avoid the random ordering of non-key data.

4. The given job processes large volumes of data using default partitioning, with sort/partition insertion enabled. Both source Data Sets are partitioned and sorted on the merge key. Assuming that the business logic allows all of the following actions, which design change would improve the performance of this job?

A) Set the "Preserve Partitioning" option on both Data Sets and replace the Merge stage with a Sort Funnel stage.
B) Before each input to the Merge stage, insert a Sort stage with "Don't Group, Previously Grouped" set on the merge key. Specify SAME partitioning on all inputs.
C) Use the Data Set Management Utility to combine both input Data Sets into a single source Data Set.
D) Set the buffer mode to "no buffer" on the output links of both Data Sets.

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

Solutions: