IBM C2090-424 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Job Control and Runtime Management | -Demonstrate knowledge of message handlers. -Demonstrate the ability to use the dsjob command line utility. -Demonstrate ability to use job sequencers. -Create and manage encrypted passwords and credentials files. | 8% |
| Databases | -Demonstrate proper selection of database stages and database specific stage properties. -Identify source database options. -Demonstrate knowledge of target database options. -Demonstrate knowledge of the different SQL input/creation options and when to use each. | 6% |
| Job Management and Deployment | -Demonstrate knowledge of DataStage Designer Repository utilities such as advanced find, impact analysis, and job compare. -Articulate the change control process. -Knowledge of Source Code Control Integration. -Demonstrate the ability to define packages, import, and export using the ISTool utility. -Demonstrate the ability to perform admin tasks with tools such as Directory Admin. | 8% |
| Persistent Storage | -Explain the process of importing/exporting data to/from framework. -Demonstrate proper use of a Sequential File stage. -Demonstrate proper usage of Complex Flat File stage. -Demonstrate proper usage of FileSets and DataSets. -Demonstrate use of FTP stage for remote data. -Demonstrate use of restructure stages. -Identify importing/exporting of XML data. - Knowledge of balanced optimization for Hadoop and integration of oozie workflows. -Demonstrate proper use of File Connector stage. -Demonstrate use of DataStage to handle various types of data including unstructured, hierarchical, Cloud, and Hadoop. | 15% |
| Monitor and Troubleshoot | -Demonstrate knowledge of parallel job score. -Identify and define environment variables that control DataStage 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. | 9% |
| Metadata | -Demonstrate knowledge of framework schema. -Identify the method of importing, sharing, and managing metadata. -Demonstrate knowledge of runtime column propagation (RCP). | 5% |
| Data Transformation | -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 runtime column propagation (RCP). -Demonstrate knowledge of Transformer stage input and output loop processing. | 12% |
| Parallel Architecture | -Demonstrate proper use of data partitioning and collecting. -Demonstrate knowledge of parallel execution. | 9% |
| Job Components | -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. | 8% |
| Configuration | -Describe how to properly configure DataStage. -Identify tasks required to create and configure a project to be used for jobs. -Given a configuration file, identify its components and its overall intended purpose. -Demonstrate proper use of node pools. | 6% |
| Job Design | -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. -Describe the purpose and uses of parameter sets and how they compare with other approaches for parameterizing jobs. -Demonstrate the ability to create and use Data Rules using the Data Rules stage to measure the quality of data. -Demonstrate various methods of using DataStage to handle encrypted data. | 14% |
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Certification Path
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