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IBM InfoSphere DataStage v9.1 Sample Questions:

1. Which statement describes what happens when Runtime Column Propagation is disabled for a parallel job?

A) An input column value flows into a target column only if it matches it by name.
B) You must set APT_AUTO_MAP project environment to true to allow output link mapping to occur.
C) An input column value flows into a target column only if it is explicitly mapped to it.
D) An input column value flows into a target column based on its position in the input row. For example, first column in the input row goes into the first target column.

2. You are asked by your customer to collect partition level runtime metadata for DataStage parallel jobs. You must collect this data after each job completes. What two options allow you to automatically save row counts and CPU time for each instance of an operator? (Choose two.)

A) Open up the job in Metadata Workbench and select the "Data Lineage" option.
B) Enable the job property "Record job performance data".
C) Click the Performance Analysis icon in the toolbar to open the Performance Analyzer utility.
D) $APT_PERFORMANCE_DATA
E) $APT_CPU_ROWCOUNT

3. How must the input data set be organized for input into the Join stage? (Choose two.)

A) Hash partitioned
B) Unsorted
C) Key partitioned
D) Sorted by Join key
E) Entire partitioned

4. A job validates account numbers with a reference file using a Join stage, which is hash partitioned by account number. Runtime monitoring 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) Change the number of nodes in the configuration file.
B) Replace the Join with a Merge stage.
C) Use Round Robin partitioning on the stream and Entire partitioning on the reference.
D) Add a Sort stage in front of the Join stage. Sort by account number.

5. You are processing groups of rows in a Transformer. The first row in each group contains "1" in the Flag column and "0" in the remaining rows of the group. At the end of each group you want to sum and output the QTY column values. Which technique will enable you to retrieve the sum of the last group?

A) Output a running total for each group for each row. Follow the Transformer stage by an
Aggregator stage. Take the MAX of the QTY column
for each group.
B) Output the sum that you generated up to the previous row each time you process a row with a
"1" in the Flag column. Use the FirstRow()
function to determine when the group is done.
C) Output the sum that you generated up to the previous row each time you process a row with a
"1" in the Flag column.
D) Output the sum that you generated each time you process a row for which the LastRow()
function returns True.

Solutions: