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IBM A2090-421 Exam Syllabus Topics:

IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:

1. Which three data types can the ODBC Enterprise stage handle? (Choose three.)

A) SQL_CLOB
B) SQL_VARBINARY
C) SQL_SMALLDATETIME
D) SQL_BIGINT
E) SQL_TIMESTAMP

2. 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) 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.
C) The expression executed for a stage variable can refer to a stage variable which is executed later.
D) Stage variables can be set to NULL.
E) Varchar stage variables can be initialized with spaces.

3. Your job runs slowly and does not scale beyond two nodes. It appears the data has been partitioned on the DoNotCall flag, which has accumulating totals based on this flag using a sort method.
Which technique would improve scalability and performance?

A) Add an additional column for partitioning to result in additional data partitions.
B) Increase the number of physical nodes available for partitioning.
C) Change the partitioning method to Round Robin; add a second Aggregator stage with Execution mode 'Sequential' and
D) Change the preserve partitioning option on the stage ahead of the aggregator to clear partitioning.

4. The result of a performance review for one of your job designs indicated this job needs to be split into two separate jobs. You also have been given the requirement to ensure you maintain parallelism (no re-partitioning) between these two new jobs.
Which single stage should you consider to accomplish maintaining parallelism and not introduce re-partitioning between these related jobs?

A) Named Pipe stage
B) Data Set stage
C) Sequential File stage
D) Copy stage

5. A client has multiple servers connected with a high bandwidth switch and has installed DataStage on one of them. There are five files (with the same record layout) that must be retrieved from three other servers using FTP. Which approach will retrieve and process all five files in the minimal amount of time?

A) Use a single FTP Enterprise stage and specify five URI properties (one for each file). Next, process the records without landing to disk.
B) In a single job, use five separate FTP Enterprise stages with output links to a single Sort Funnel stage. Next, process the records without landing to disk.
C) Create a sequence containing five separate DataStage jobs which each retrieve a single file and append it to a common Data Set. Next, process the resulting Data Set in an sixth DataStage job.
D) In a single job, use three separate FTP Enterprise stages (one for each machine) with output links to a single Sort Funnel stage. Next, process the records without landing to disk.

Solutions: