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This test will certify that the successful candidate has important knowledge and skills necessary to professionally design and develop an efficient and scalable DataStage solution to a complex enterprise level business problem; configure a scalable parallel environment including clustered and distributed configurations; collect, report on, and resolve issues identified through key application performance indicators; be proficient in extending the capabilities of the parallel framework using the provided APIs (build-ops and wrappers).
- Section 1 - Configuration (6%)
- Describe how to properly configure DataStage v9.1
- Identify tasks required to create and configure a project to be used for v9.1 jobs.
- Given a configuration file, identify its components and its overall intended purpose.
- Section 2 - Metadata (6%)
- Demonstrate knowledge of framework schema.
- Identify the method of importing, sharing, and managing metadata.
- Demonstrate knowledge of runtime column propagation.
- Section 3 - Persistent Storage (15%)
- Explain the process of importing/exporting data to/from framework.
- Describe proper use of a sequential file.
- Describe proper usage of Complex Flat File stage.
- Describe proper usage of FileSets and DataSets.
- Describe use of FTP stage for remote data .
- Describe use of restructure stages.
- Identify importing/exporting of XML data.
- Knowledge of balanced optimization for Hadoop and integration of oozie workflows.
- Section 4 - Parallel Architecture (7%)
- Demonstrate proper use of data partitioning and collecting.
- Demonstrate knowledge of parallel execution.
- Section 5 - Databases (7%)
- Demonstrate proper selection of database stages and database specific stage properties.
- Identify source database options.
- Demonstrate knowledge of target database options.
- Section 6 - Data Transformation (14%)
- Demonstrate knowledge of default type conversions, output mappings, and associated warnings.
- Demonstrate proper selections of Transformer stage vs. other stages.
- Describe Transformer stage capabilities.
- Demonstrate the use of Transformer stage variables.
- Identify process to add functionality not provided by existing DataStage stages.
- Demonstrate proper use of SCD stage.
- Demonstrate job design knowledge of using RCP.
- Demonstrate knowledge of Transformer Stage input and output loop processing.
- Section 7 - Job Components (11%)
- Demonstrate knowledge of Join, Lookup and Merge stages.
- Demonstrate knowledge of SORT stage.
- Demonstrate understanding of Aggregator stage.
- Describe proper usage of change capture/change apply.
- Demonstrate knowledge of Real-time components.
- Knowledge of Data Rules.
- Section 8 - Job Design (12%)
- Demonstrate knowledge of shared containers.
- Describe how to minimize Sorts and repartitions.
- Demonstrate knowledge of creating restart points and methodologies.
- Explain the process necessary to run multiple copies of the source.
- Knowledge of creating DataStage jobs that can be used as a service.
- Knowledge of balanced optimization.
- Section 9 - Monitor and Troubleshoot (9%)
- Demonstrate knowledge of parallel job score.
- Identify and define environment variables that control DataStage v9.1 with regard to added functionality and reporting.
- Given a process list, identify conductor, section leader, and player process.
- Identify areas that may improve performance.
- Demonstrate knowledge of runtime metadata analysis and performance monitoring.
- Ability to monitor DataStage jobs using the Job Log and Operations Console.
- Section 10 - Job Management and Deployment (7%)
- Demonstrate knowledge of advanced find.
- Demonstrate knowledge and the purpose of impact analysis.
- Demonstrate knowledge and purpose of job compare.
- Articulate the change control process.
- Knowledge of Source Code Control Integration.
- Section 11 - Job Control and Runtime Management (6%)
- Demonstrate knowledge of message handlers.
- Identify the use of dsjob command line utility.
- Demonstrate ability to use job sequencers.