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IBM Websphere Datastage V.8.0 Sample Questions:
1. Which three statements describe a DataStage installation in a clustered environment? (Choose three.)
A) Compiled job and all shared components must be available across all servers.
B) The conductor node will create the job score and consolidate messages to the DataStage log.
C) All machines within the cluster must have connectivity to the metadata repository.
D) DataStage must be installed on the same kind of operating system as the metadata repository.
E) For clustered implementations, appropriate node pools are useful to reduce data shipping.
2. 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. What are two requirements on the input link data for the Change Capture stage? (Choose two.)
A) Sequential mode
B) Key partitioned
C) Merged links
D) Sorted
3. You are assigned to correct a job from another developer. The job contains 20 stages sourcing data from two Data Sets and many sequential files. The annotation in the job indicates who wrote the job and when, not the objective of the job. All link and stage names use the default names. One of the output columns has an incorrect value which should have been obtained using a lookup. What could the original developer have done to make this task easier for maintenance purposes?
A) Name all stages and links based on what they do.
B) Name all stage and links with column names and ideas.
C) Name all stage and links the same.
D) Indicate all stage names within the job annotation.
4. You have a parallel job that does not scale beyond two nodes. After investigation you find that the data has been partitioned on a DoNotCall flag, which has only "Y" or "N" values, and you have an Aggregator stage that is accumulating totals based on this flag using a sort method. Which two techniques could you use to allow the job to scale? (Choose two.)
A) Change the aggregation method to hash to eliminate the blocking sort operation.
B) Change the preserve partitioning option on the stage ahead of the aggregator to clear partitioning.
C) Change the partitioning method to Round Robin; add a second Aggregator stage, running sequentially, that re-aggregates based on the DoNotCall flag.
D) Add an additional column for partitioning to result in additional data partitions.
5. Click the Exhibit button.
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 "Aggregate all rows" under "Transformation Settings" of the Output link of an XML Output stage.
B) Set "Output mode" setting "Separate rows" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
C) Set "Output mode" setting "Use Trigger" on column "Customer ID" under "Transformation Settings" of the Output link of an XML Output stage.
D) Set "Output mode" setting "Single row" under "Transformation Settings" of the Output link of an XML Output stage.
Solutions:
| Question # 1 Answer: A,B,E | Question # 2 Answer: B,D | Question # 3 Answer: A | Question # 4 Answer: A,C | Question # 5 Answer: D |



