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IBM InfoSphere DataStage v8.5 Sample Questions:

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

2. The derivation for a stage variable is: Upcase(input_column1) : ' ' : Upcase(input_column2). Suppose that input_column1 contains a NULL value. Which behavior is expected?

A) NULL is written to the target stage variable.
B) The target stage variable is populated with spaces or zeros depending on the stage variable data type.
C) The job aborts.
D) The input row is either dropped or rejected depending on whether the Transformer has a reject link.

3. 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 Join stage, hash-partition and sort both link on OrderID.
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 Lookup stage, select auto partitioning for the stream link and hash-partition the reference link on CustI

4. A copy of a production job was moved into a development project and modified to improve performance. You must prepare a report for a code review that documents the changes to the job.
How would you gather the information for this report? (Select two)

A) DSMakeJobReport
B) diffapicmdline.exe
C) Cross Project Compare
D) Compare Within

5. 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) Use Round Robin partitioning on the stream and Entire partitioning on the reference.
C) Break the input file into multiple files.
D) Replace the Join with a Merge stage.

Solutions: