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IBM Websphere Datastage V.8.0 Sample Questions:

1. In your DB2 database you have column names that use characters # and $. Which two steps should be completed to allow DataStage to convert these characters into internal format and back as necessary? (Choose two.)

A) Set environment variable $DS_ENABLE_RESERVED_CHAR_CONVERT to true.
B) Set environment variable $DS_ENABLE_RESERVED_NUM_CONVERT to true.
C) Avoid using the strings __025__ and __026__ in your IBM DB2 column names.
D) Avoid using the strings __035__ and __036__ in your IBM DB2 column names.

2. Your customer, understanding the value of end-to-end parallelism, requires all jobs to have parallel input and output. You are also required to use an input/output format that is archivable, and compatible between product versions. What achieves these goals without ignoring the parallelism of the configuration file?

A) Multiple File options
B) Schema File
C) File Sets
D) Data Sets

3. You have a parallel job that does not scale beyond two nodes. After investigation you find that the data has been partitioned on a DoNotCall flag, which has only "Y" or "N" values, and you have an Aggregator stage that is accumulating totals based on this flag using a sort method. Which two techniques could you use to allow the job to scale? (Choose two.)

A) Add an additional column for partitioning to result in additional data partitions.
B) Change the preserve partitioning option on the stage ahead of the aggregator to clear partitioning.
C) Change the aggregation method to hash to eliminate the blocking sort operation.
D) Change the partitioning method to Round Robin; add a second Aggregator stage, running sequentially, that re-aggregates based on the DoNotCall flag.

4. Which two system variables/techniques must be used in a parallel Transformer derivation to generate a unique sequence of integers across partitions? (Choose two.)

A) @PARTITIONNUM
B) @INROWNUM+1
C) @NUMPARTITIONS
D) @INROWNUM

5. A parallel job combines rows from a source DB2 table with historical information maintained in two separate Oracle tables. Only rows in the DB2 source whose key values match either Oracle table are output to a target Teradata table. Both Oracle tables have identical column definitions and are stored in the same Oracle instance. Which two design techniques would satisfy this requirement? (Choose two.)

A) Use a Lookup stage to combine the DB2 Enterprise input with each Oracle Enterprise reference link using range partitioning to limit each reference by historical data values.
B) Combine the inputs from the DB2 Enterprise stage and two Oracle Enterprise stages using the Sort options of the Funnel stage defined onthe key columns.
C) Using a master DB2 Enterprise stage, merge by dropping unmatched masters against a single Oracle Enterprise stage with custom SQL with UNION ALL.
D) Use a separate Oracle Enterprise stage for each source table to a Funnel stage and then perform an inner join with rows from a DB2 Enterprise stage.

Solutions: