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IBM C2090-303 Exam Syllabus Topics:

IBM InfoSphere DataStage v9.1 Sample Questions:

1. 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) Sort the data on the reference link.
C) Change the lookup option in the stage properties to "Sparse".
D) Change the partitioning to hash.

2. What is the result of running the following command: dsjob -report DSProject ProcData

A) Runs the DataStage job named ProcData and returns job status information, including whether the job aborted or ran without warnings.
B) Runs the DataStage job named ProcData and returns performance information, including the number of rows processed.
C) Returns a report of the last run of the ProcData job in a DataStage project named DSProject.
D) Generates a report about the ProcData job, including information about its stages and links.

3. What are two statistics or attributes that can be added to the output of a Data Rule stage? (Choose two.)

A) Number of violations
B) Job execution owner
C) System timestamp
D) Percentage of violations
E) Record ID

4. Identify two items that are created as a result of running a Balanced Optimization on a job that accesses a Hadoop distributed file system as a source? (Choose two.)

A) A JAQL stage is found in the optimized job result.
B) A Balanced Optimization Shared Container is found in the project.
C) A MapReduce Transformer stage is found in the optimized job result.
D) A Balanced Optimization parameter set is found in the project
E) A Big Data File stage is found in the optimized job results.

5. 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.

Solutions: