IBM C2090-421 : InfoSphere DataStage v8.5

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IBM C2090-421 Exam Syllabus Topics:

IBM InfoSphere DataStage v8.5 Sample Questions:

1. You are asked to convert a relational source, as shown in the exhibit, into three separate XML files. How would you accomplish this task?

A) Set "Output mode" setting "Segregate" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
B) Set "Output mode" setting "Break" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
C) Set "Output mode" setting" Split rows" under "Transformation Settings" of the Output link of an XML Output stage.
D) Set "Output mode" setting "Single row" under "Transformation Settings" of the Output link of an XML Output stage.

2. In the job fragment shown in the exhibit, there are two Sort stages: the first (Sort1) sorts the data by state, the second (Sort2) sorts the data by state and area, No repartitioning occurs between the stages.
You have been asked to reduce the number of sorts to improve the performance of the job.

Which two ways might be used to accomplish this without changing how the job functions? (Select two)

A) Remove the second Sort stage. Add area as an additional sort key.
B) Remove the first Sort stage. Retain the existing sort keys in the second Sort stage.
C) In the second Sort stage change the Sort Mode property of the state column to "Don't sort, previously sorted.".
D) In the second Sort stage change the Sort Mode property of the area column to "Don't sort, previously sorted.".

3. The given job processes large volumes of data using default partitioning, with sort/partition insertion enabled. Both source Data Sets are partitioned and sorted on the merge key. Assuming that the business logic allows all of the following actions, which design change would improve the performance of this job?

A) Before each input to the Merge stage, insert a Sort stage with "Don't Group, Previously Grouped" set on the merge key. Specify SAME partitioning on all inputs.
B) Set the buffer mode to "no buffer" on the output links of both Data Sets.
C) Use the Data Set Management Utility to combine both input Data Sets into a single source Data Set.
D) Set the "Preserve Partitioning" option on both Data Sets and replace the Merge stage with a Sort Funnel stage.

4. You have a dataset that is range-partitioned and sorted. Which technique is most efficient to create globally sorted data file?

A) Select SortMerge collector method for the input link of the final Sequential File stage.
B) Select Ordered collector method for the input link of the final Sequential File stage.
C) Insert Funnel stage before the final Sequential File stage and select Sort Funnel as Funnel Type.
D) Insert Funnel stage before the final Sequential File stage and select Sequence as Funnel Type.

5. Which two steps are required to change from a normal lookup to a sparse lookup in an ODBC Enterprise stage? (Choose two.)

A) Change the lookup option in the stage properties to "Sparse".
B) Establish a relationship between the key field column in the source stage with the database table field.
C) Replace columns at the beginning of a SELECT statement with a wildcard asterisk (*).
D) Sort the data on the reference link.

Solutions: