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IBM InfoSphere DataStage v8.5 Sample Questions:

1. A job needs to split a single Data Set into three Data Sets based on conditions that are supplied at runtime. Which stage would allow you to parameterize the conditions for splitting the input data set?

A) Switch stage
B) Transformer stage
C) Filter stage
D) Split Vector stage

2. A script invokes an update job called "UpdateKeys" via a command line invocation of the dsjob command. The service is to wait for the completion and status of this job before continuing with the rest its tasks. Which three commands would invoke the "UpdateKeys" job in the MigrationProject and wait for its completion status? (Select three)

A) dsjob-run-userstatus MigrationProject UpdateKeys
B) dsjob -run -jobstatus MigrationProject UpdateKeys
C) dsjob -run -log dsjob -run -userstatus MigrationProject UpdateKeys
D) dsjob-run-wait MigrationProject UpdateKeys
E) dsjob -run MigrationProject UpdateKeys

3. A customer requires that a single output file generated by a parallel job be created in sort order. Which two job designs would achieve this goal? (Choose two.)

A) Write the result to a parallel dataset, then write a shell script to convert the dataset records to text format, in sorted order.
B) Specify both partition and sort key columns on the input to the target SequentialFile stage.
C) Use a parallel sort and partition the input to the SequentialFile stage using a Sort Merge collector.
D) Set the "Execution Mode" in the Advanced stage properties tab of the parallel Sort stage to execute sequentially.
E) Insert a sorted Funnel stage before the input to the output SequentialFile stage.

4. You are setting up project defaults. Which three items can be set in DataStage Administrator? (Choose three.)

A) suite roles
B) default prompting options, such as Autosave job before compile
C) default for compile options
D) default for Runtime Column Propagation
E) defaults for environment variables

5. You have a 3TB dataset hash-partitioned on CustID in a clustered environment. You need to join this dataset with 1GB of reference data on OrderID. Which technique is most appropriate?

A) Use Lookup stage, select auto partitioning for the stream link and hash-partition the reference link on CustI
B) Use Lookup stage, select auto partitioning for both link.
C) Use Lookup stage, select auto partitioning for the stream link and entire partitioning for the reference link.
D) Use Join stage, hash-partition and sort both link on OrderID.

Solutions: