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IBM A2090-421 Exam Syllabus Topics:

IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:

Question 1

You have been asked to delete a shared container from the project by your customer. Before you do this you want to make sure it will not impact other objects in the project. How will you ensure that deleting the shared container will not cause a failure when jobs are recompiled?

A. Advanced find, set Dependencies Of field equal to the container name, and Check the Option to Include nested results for Dependency searches.
B. Select the shared container, Right-click on the Where used command.
C. Select the shared container, Right-click on the Dependencies (deep) command.
D. Select the shared container, Right-click on the Where used (deep) command.

Question 2

What are the three features of Information Server that allow you to deploy DataStage objects? (Select three)

A. $APT_COPY_TRANSFORMER
B. Designer Client Export
C. dscc.exe
D. istool
E. Information Server Manager

Question 3

A job design consists of an input SequentialFile stage, followed by a Peek stage, a Transformer stage, a Sort stage and finally an output Dataset stage. The job executes on an SMP system with a configuration file defined with 4 nodes.
The environment variable $APT_DISABLE_COMBINATION is set to "True". How many processes will this job create?

A. 19
B. 17
C. 21
D. 12

Question 4

What Information Server tool provides integration with source code control repositories?

A. Multiple Job Compile
B. DataStage Designer
C. Information Services Director
D. Information Server Manager

Question 5

A customer wants to select the entire order details for the largest transaction for each of 2 million customers from a 20 million row DB2 source table containing order history. Which parallel job design would satisfy this functional requirement?

A. Partition and sort the input to a RemoveDuplicates stage using the customer key and transaction amount columns. Remove duplicates on customer key.
B. Partition on customer key, sort on customer key and transaction amount, remove duplicates on customer key.
C. Use a Sort Aggregator stage with calculated column based on the maximum value of transaction amount column.
D. Partition and sort the input to a Filter stage by customer number. Filter with the clause "MAX(transaction_amount)".

Solutions: