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IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:

1. Which two statements are true about the use of named node pools? (Choose two.)

A) Named node pools constraints will limit stages to be executed only on the nodes defined in the node pools.
B) Using appropriately named node pools forces DataStage to use named pipes between stages.
C) Clustered environments must have named node pools for data processing.
D) Named node pools can allow separation of buffering from sorting disks.

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

3. You have a dataset hash-partitioned and sorted on CustID. You need to create a Sequential File sorted on CustID from this dataset. Which technique is the most appropriate?

A) Use Copy stage.
B) Insert Sort stage before the final Sequential File stage and use Ordered collector for the Sequential File stage input link.
C) Insert Sort stage before the final Sequential File stage and use Round Robin collector for the Sequential File stage input link.
D) Use SortMerge collector for the Sequential File input link.

4. Which requirement must be met to read from a database in parallel using the ODBC connector?

A) ODBC connector always reads in parallel.
B) Configure environment variable $APT_PARTITION_COUNT.
C) Set the Enable partitioning property to Yes.
D) Configure environment variable $APT_MAX_TRANSPORT_BLOCK_SIZE.

5. A DataStage job uses an Inner Join to combine data from two source parallel datasets that were written to disk in sort order based on the join key columns. Which two methods could be used to dramatically improve performance of this job? (Choose two.)

A) Set the environment variable $APT_SORT_INSERTION_CHECK_ONLY.
B) Unset the Preserve Partitioning flag on the output of each parallel dataset.
C) Disable job monitoring.
D) Explicitly specify hash partitioning and sorting on each input to the Join stage.
E) Add a parallel sort stage before each Join input, specifying the "Don't Sort, Previously Grouped" sort key mode for each key.

Solutions: