Last Updated: Oct 10, 2026
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| Section | Objectives |
|---|---|
| Job Design and Development | - Stages and transformers - Data flow design principles - Job types (parallel, server, sequence) |
| Data Integration and Transformation | - Data transformation logic - Lookup and join strategies - Data extraction and loading techniques |
| Administration and Deployment | - Job scheduling and monitoring - Security and user management |
| DataStage Architecture and Concepts | - InfoSphere DataStage components - Parallel processing architecture - Project and environment structure |
| Performance Tuning and Optimization | - Memory and partitioning strategies - Parallel job tuning |
Which two statements about the Additional Connections Options property in the Teradata Connector stage to specify details about the number of connections to Teradata are true? (Choose two.)
Correct Answer: C,E 🗳️
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.)
Correct Answer: B,D 🗳️
In your ETL application design you have found several areas of common processing requirements in the mapping specifications. These common logic areas found include: code validation lookups and name formatting. The common logic areas have the same logic, but the jobs using them would have different column metadata. Choose the action that gives you the best reusability design to effectively implement these common logic areas in your ETL application?
Correct Answer: D 🗳️
You are working on a project that contains a large number of jobs contained in many folders. You would like to review the jobs created by a former developer of the project. How can you find these jobs?
Correct Answer: A 🗳️
Identify the two delimiter areas available to be configured in the Sequential File format tab properties? (Choose two.)
Correct Answer: A,E 🗳️
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