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IBM Websphere Datastage V.8.0 Sample Questions:

1. Which three actions can improve sort performance in a DataStage job? (Choose three.)

A) Use the stable-sort option to avoid the random ordering of non-key data.
B) Specify only the key columns which are necessary.
C) Adjusting the "Restrict Memory Usage" option in the Sort stage.
D) Run the job sequentially so that only one sort process is invoked.
E) Minimize the number of sorts used within a job flow.

2. A scenario requires selecting only the most recent transactions for each of 2 million unique customers from a 20 million row DB2 source table containing order history. Which parallel job design would satisfy this functional requirement?

A) Using the DB2 Enterprise stage, select all rows. Perform a unique Sort using customer number and order date sort keys in ascending order.
B) Using the DB2 API stage, select all rows. Use a parallel Sort stage with customer number and order date sort keys in ascending order, then Remove Duplicates with Last Duplicate to retain.
C) Select all rows using the ODBC Connector stage, use a Sort Aggregator on customer number key to select the maximum order date.
D) Using the Dynamic Relational stage, use custom SQL to select all DISTINCT customer numbers from the order history table.

3. Which two methods can be used for adding messages to a message handler? (Choose two.)

A) Use the add rule to message hander interface.
B) Import message handler from existing message handler dsx.
C) Drag and drop a message from the job log onto the message handler.
D) Type in the message rule by hand.

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

A) ODBC Enterprise stage always reads in parallel.
B) Specify the partitioncol property.
C) Configure environment variable $APT_MAX_TRANSPORT_BLOCK_SIZE.
D) Configure environment variable $APT_PARTITION_COUNT.

5. In which two situations is it appropriate to use a Sparse Lookup? (Choose two.)

A) When reference data is significantly larger than the streaming data (100:1).
B) When the output of the Lookup stage needs to be hashed partitioned.
C) When invoking a stored procedure within a database per row in the streaming link.
D) When accessing DB2 data using the DB2 API stage.

Solutions: