IBM C2090-303 Exam : IBM InfoSphere DataStage v9.1

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IBM C2090-303 Exam Syllabus Topics:

IBM InfoSphere DataStage v9.1 Sample Questions:

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

2. The effective use of naming conventions means that objects need to be spaced appropriately on the DataStage Designer canvas. For stages with multiple links,expanding the icon border can significantly improve readability. This approach takes extra effort at first, so a pattern of work needs to be identified and adopted to help development. Which feature of Designer can improve development speed?

A) Palette Layout
B) Snap to Grid Feature
C) Repository Layout
D) Show Performance Statistics Feature

3. In the exhibit, a Funnel stage has two input links. Input 1 (Seq_File) comes from a Sequential File stage with "Readers per Node" set to "2". Input 2 (Dataset) comes from a dataset created with 3 partitions. In the Funnel stage, the funnel type is set to "Sequence".

The parallel configuration file contains 4 nodes. How many instances of the Funnel stage run in parallel?

A) 2
B) 6
C) 1
D) 4

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

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

5. A job validates account numbers with a reference file using a Join stage, which is hash partitioned by account number. Runtime monitoring reveals that some partitions process many more rows than others. Assuming adequate hardware resources, which action can be used to improve the performance of the job?

A) Replace the Join with a Merge stage.
B) Add a Sort stage in front of the Join stage. Sort by account number.
C) Use Round Robin partitioning on the stream and Entire partitioning on the reference.
D) Change the number of nodes in the configuration file.

Solutions: