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IBM A2090-421 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Connectivity | - Data sources and connectors
|
| Topic 2: Job Design and Development | - Server jobs and parallel jobs design
|
| Topic 3: DataStage Architecture and Components | - InfoSphere DataStage architecture overview
|
| Topic 4: Performance Tuning and Optimization | - Parallel processing optimization
|
| Topic 5: Administration and Troubleshooting | - Monitoring and debugging jobs
|
IBM Assessment: InfoSphere DataStage v8.5 Sample Questions:
Question 1
How are Host Systems added to the Shared Metadata repository? (Select two)
A. Use the DataStage Administrator application to import new Host Systems.
B. Use the shared table creation wizard from the DataStage client to add a new Host System.
C. Select Repository > Metadata Sharing > Management from the main menu to open the Shared Metadata Management tool
D. Use the Import/Export Manager when importing shared metadata.
Question 2
You need to find the differences between the jobs in the Test project and theit older version in the Production project. You discover that the Production project is on another domain. What feature would find the differences in a job that is in a project on a different domain?
A. Export from the other domain and import into a project in the same domain as the one you are working in.
B. Cross Project Compare
C. Cross Domain Compare
D. DataStage Version Control
Question 3
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 DB2 Enterprise stage, select all rows. Perform a unique Sort using customer number and order date sort keys in ascending order.
B. Using the Dynamic Relational stage, use custom SQL to select all DISTINCT customer numbers from the order history table.
C. 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.
D. Select all rows using the ODBC Connector stage, use a Sort Aggregator on customer number key to select the maximum order date.
Question 4
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. 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.
C. Output the sum that you generated each time you process a row for which the LastRow() function returns True.
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. Use the LastRow() function to determine when the last group is done.
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.
Question 5
A customer must compare a date column with a job parameter date to determine which output links the row belongs on. What stage should be used for this requirement?
A. Switch stage
B. Filter stage
C. Transformer stage
D. Compare stage
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: A,B,D | Question 5 Answer: C |

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