Last Updated: Jul 26, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Parallel Architecture | 7% | - Parallel execution framework - Environment variables for parallel jobs - Partitioning and collecting methods |
| Job Design Principles | 12% | - Minimizing sorts and repartitions - Performance-oriented job design - Restart points and checkpoint design - Shared containers and reusable components |
| Deployment & Source Control | 7% | - Source control integration - Export/import of jobs and projects - Job comparison and impact analysis |
| Data Transformation | 14% | - Transformer stage functionality - Type conversion and derivations - Change Capture and Apply stages - Slowly Changing Dimension (SCD) stage |
| Persistent Storage | 15% | - Sequential File and Data Set stages - Data import/export operations - File format and record structure |
| Complex Jobs & Real-Time | 10% | - Job sequences and dependencies - Information Services Director (ISD) - Real-time integration patterns |
| Metadata | 6% | - Metadata sharing and reuse - Runtime Column Propagation (RCP) - Schema management and import |
| Job Control & Runtime Management | 6% | - Error handling and message handlers - Monitoring execution status - Log analysis and troubleshooting |
| Configuration | 6% | - Project and environment setup - Node pools and parallel environment design - Configuration file structure |
| Performance Tuning | 10% | - Sorting and partitioning optimization - Environment variable tuning - Identifying bottlenecks |
| Database Connectivity | 7% | - Database Connector stages - Connection configuration and optimization - SQL pushdown and data type handling |
1. Identify two areas that DataStage can integrate with a Hadoop environment. (Choose two.)
A) Use the Hive Activity stage in a sequences to invoke a Hive MapReduce program.
B) Use the Oozie Workflow Activity stage in a sequencer job to invoke Oozie work flows.
C) Use the Big Data File stage to access files on the Hadoop Distributed File System.
D) Use the Pig Activity stage in a sequencer to invoke a Pig MapReduce program.
E) Use the MapReduce Transformer stage to convert Hadoop Distributed File System data.
2. You have finished changes to many jobs and shared containers. You must export all of your changes and integrate them into a test project with other objects. What is a way to select the objects you changed for the export?
A) Using the advanced find dialog, specify in the last modified panel, the date range of the jobs, and appropriate user name.
B) Open Quick Find and select "Types to Find".
C) Sort the jobs by timestamp.
D) Use Multiple Job Compile to locate objects that need to be compiled.
3. Which statement is true about Information Server logging?
A) You can activate or de-activate the logging configuration in DataStage Administrator.
B) Multiple configurations can be active at the same time.
C) Severity levels specify the threshold for saving events in the metadata repository.
D) You must log into the Information Server Web Console as a DataStage administrator in order to configure logging.
4. Which option is required to identify a particular job player processes?Which option is required to identify a particular job? player processes?
A) Use the DataStage Director Job administration screen to display active player processes.
B) Set $APT_PM_SHOW_PIDS to true.
C) Log onto the server and issue the command "ps -ef | grep ds".
D) Set $APT_DUMP_SCORE to true.
5. Identify the two statements that are true about the functionality of the XML Pack 3.0. (Choose two.)
A) XML Stages are Plug-in stages.
B) It includes the XML Input, XML Output, and XML Transformer stages.
C) Uses a unique custom GUI interface called the Assembly Editor.
D) A single XML Stage, which can be used as a source, target, or transformation.
E) XML Stage can be found in the Database folder on the palette.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C,D |
Clara
Eudora
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