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IBM Assessment: IBM InfoSphere DataStage v9.1 Assessment Sample Questions:

1. You are asked to optimize the fork join job design in the exhibit. This job uses the sort aggregator and a left outer join on the ZIP code column. Currently all partitioning is set to "Auto" and automatic sort insertion is allowed.

Which change will reduce the cost of partitioning that occurs in this job?

A) Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages.
B) Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages.
C) Use Entire partitioning on the input links to the Aggregator and Join stages.
D) Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.

2. Which job design technique can be used to give unique names to sequential output files that are used in multi-instance jobs?

A) Use DSJoblnvocationID to generate a unique filename.
B) Use a Transformer stage variable to generate the name.
C) Use parameters to identify file names.
D) Generate unique file names by using a macro.

3. What two Information Server tools can be used to create deployment packages for DataStage jobs? (Choose two.)

A) InfoSphere Metadata Assset Manager
B) Information Server Console
C) istool
D) Information Server Web Console - Administration tab
E) Information Server Manager

4. Which option is required to identify a particular job player processes?Which option is required to identify a particular job? player processes?

A) Set $APT_PM_SHOW_PIDS to true.
B) Use the DataStage Director Job administration screen to display active player processes.
C) Log onto the server and issue the command "ps -ef | grep ds".
D) Set $APT_DUMP_SCORE to true.

5. You are using the Complex Flat File stage as a source in your job. What are two types of data specifically supported by the Complex Flat File stage for your job? (Choose two.)

A) Data from flat files that contain multiple record types.
B) Mainframe data files with DB2 tables.
C) Data from files that contain Hadoop record types.
D) Mainframe data sets with VSAM files.
E) XML files.

Solutions: