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IBM InfoSphere DataStage v9.1 Sample Questions:

1. Your job is using the Sequential File stage as a source. Identify two stage property configurations that will allow you to accomplish parallel reads? (Choose two.)

A) Read Method property set to 'File Pattern' and the 'Readers per Node' property value set to greater than 1.
B) Read Method property is set to 'Parallel' with the Key property set to a Input column that has the file names.
C) Read Method property set to 'Specific File(s)' with more than one file specified and each file specified has the same format/column properties.
D) Read Method property set to 'Specific File(s)' with only one file specified and the 'Readers Per Node' property value set to greater than 1.
E) Read Method property set to 'File Pattern' and the environment variable $APT_IMPORT_PATTERN_USES_FILESET is set to 'FALSE'.

2. Which step is required to change from a normal lookup to a sparse lookup in an ODBC Connector stage?

A) Replace columns at the beginning of a SELECT statement with a wildcard asterisk (*).
B) Change the partitioning to hash.
C) Change the lookup option in the stage properties to "Sparse".
D) Sort the data on the reference link.

3. What role must a user have to delete shared metadata assets from the repository?

A) Information Analyzer Administrator
B) Business Glossary Administrator
C) Common Metadata Administrator
D) DataStage Administrator

4. 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.

5. You have a parallel job that based on operational recoverability requirements needs to be broken up into two separate parallel jobs. You have decided to use the Data Set stage to support this job design change. What two characteristics of Data Sets make them a good design consideration in your jobs design change? (Choose two.)

A) They persist parallelism into a temporary repository table.
B) They sort the data in a staging area.
C) They automatically convert data types.
D) They use the same data types as the parallel framework.
E) They persist the parallelism of the job creating them.

Solutions: