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IBM C2090-421 Exam Syllabus Topics:

IBM InfoSphere DataStage v8.5 Sample Questions:

1. A DataStage job uses an Inner Join to combine data from two source parallel datasets that were written to disk in sort order based on the join key columns. Which two methods could be used to dramatically improve performance of this job? (Choose two.)

A) Explicitly specify hash partitioning and sorting on each input to the Join stage.
B) Disable job monitoring.
C) Set the environment variable $APT_SORT_INSERTION_CHECK_ONLY.
D) Unset the Preserve Partitioning flag on the output of each parallel dataset.
E) Add a parallel sort stage before each Join input, specifying the "Don't Sort, Previously Grouped" sort key mode for each key.

2. You are given a job requirement that requires calculations based on the latest currency exchange rate. You decide to invoke a Web service to obtain the latest exchange rate.
What are two ways that you can perform a Web service invocation in a DataStage job to obtain the latest exchange rate? (Select two)

A) Use Web Services Client stage as a lookup.
B) Use WISD Input stage.
C) Call a Web Service using a DSRoutine inside the Parallel Transformer stage.
D) Use Web Services Transformer stage.

3. 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 three techniques will enable you to retrieve the sum of the last group? (Choose three.)

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 each time you process a row for which the LastRow() function returns True.
C) Within each group sort the Flag column in ascending order. Output the sum each time you process the row with a "1" in the Flag column.
D) Output the sum that you generated up to the previous row each time you process a row with a "1" in the Flag column.
E) 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 LastRow() function to determine when the last group is done.

4. A star schema data warehouse consists of four dimension tables and one fact table. How many Slowly Changing Dimensions (SCD) stages will you need in your jobs to update the star schema tables?

A) three
B) two
C) four
D) five

5. A scenario requires selecting only the most recent transactions for each of 2 million unique customers, from a 20 million row DB2 source table containing order history. Which parallel job design would satisfy this functional requirement?

A) Using the Dynamic Relational stage, use custom SQL to select all DISTINCT customer numbers from the order history table.
B) Using the DB2 API stage, select all rows. Use a Sort stage with customer number and order date sort keys in ascending order, then Remove Duplicates with Last Duplicate to retain.
C) Select all rows using the ODBC Connector stage, use a Sort Aggregator on customer number key to select the maximum order date.
D) Using the DB2 Enterprise stage, select all rows. Perform a unique Sort using customer number and order date sort keys in ascending order.

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