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IBM InfoSphere DataStage v8.5 Sample Questions:

1. A job validates credit card numbers with a reference file using a Join stage, which is hash partitioned by card number. Examination of Job Monitor reveals that some partitions process many more rows than others. Assuming adequate hardware resources, which action can be used to improve the performance of the job?

A) Alter the number of partitions in the $APT_CONFIG_FILE.
B) Break the input file into multiple files.
C) Replace the Join with a Merge stage.
D) Use Round Robin partitioning on the stream and Entire partitioning on the reference.

2. You are setting up a clustered environment. Each node in the cluster has public and private network adapters. The private network uses fast Ethernet. Which two statements are true? (Select two)

A) Using the host names on the private network for 'fastname' makes better performance.
B) You must use APT_PM_CONDUCTOR_HOSTNAME variable for optimal environment.
C) Host name alias is not allowed for conductor node.
D) The client machines on the public network must use the host name for the engine on the private network to connect.

3. You are using the Change Capture stage in your job design to identify changes made to the input link (before image) to obtain the results in the output link. This job will be using a multi-node configuration file when executed. By default, the Change Capture stage produces an output change link with which two characteristics? (Choose two.)

A) Table Definition based on the after input link
B) added column named Change_Code
C) added column named Difference_Value
D) Table Definition based on the keys of the input link

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

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

5. There is a requirement to load mainframe data with array columns having redefined fields into a flat file. How can the Complex Flat File

A) Within CFF, use the Complex File Load Option window with "Flatten selective arrays" option selected. Select the array with redefine column(s) and click redefine check box option.
B) Select the Records ID tab on the Stage page. Select a record from the Records list. Select the column(s) with the redefine from the Column list. Within CFF, use the Complex File Load Option window with "Flatten selective arrays" option selected.
C) CFF does not support flattening for redefined fields.
D) Within CFF, use the Complex File Load Option window with "Flatten all arrays" option selected. CFF will handle flattening automatically.

Solutions: