IBM A2090-303 valid study dumps : Assessment: IBM InfoSphere DataStage v9.1 Assessment

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IBM A2090-303 Exam Syllabus Topics:

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

1. Two new columns have been deleted from a sequential file that a number of DataStage jobs write to. You have imported a table definition for the changed file. How can you determine what jobs might be affected by this change?

A) Select the original table definition, right-click, then click on the Find dependencies command.
B) Select the new table definition, right-click, click on the Compare against command, then select original table definition.
C) Select the original table definition, right-click, then click on the Where used command.
D) Select the new table definition, right-click, then click on the Where used command.

2. 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 prior to the Copy stage, and use same partitioning on 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 on the input links to the Aggregator and Join stages.

3. A job using a one-node configuration file writes to a target Sequential File stage. The target Sequential File stage has been set to write to three different sequential files. How many instances of the Sequential File stage will run in parallel?

A) One.
B) Three.
C) The job will abort, because a configuration file with at least three nodes is required.
D) Two.

4. Identify two areas that DataStage can integrate with a Hadoop environment. (Choose two.)

A) Use the MapReduce Transformer stage to convert Hadoop Distributed File System data.
B) Use the Big Data File stage to access files on the Hadoop Distributed File System.
C) Use the Hive Activity stage in a sequences to invoke a Hive MapReduce program.
D) Use the Oozie Workflow Activity stage in a sequencer job to invoke Oozie work flows.
E) Use the Pig Activity stage in a sequencer to invoke a Pig MapReduce program.

5. When using Runtime Column Propagation, which two stages require a schema file? (Choose two.)

A) Pivot stage
B) Sequential File stage
C) DB2 Connector stage
D) Column Import stage
E) Peek stage

Solutions: