C2090-303, IBM InfoSphere DataStage Elaborations Article

Author: Nihal Warda

C2090-303, IBM InfoSphere DataStage v9.1 exam helps applicants in getting better career knowledge of IBM data storage by validation process in which they will be given sixty seven questions in ninety minutes and achieve a level of fifty seven percent. IBM Certified Solution Developer - InfoSphere DataStage v9.1 and IBM Certified Advanced Developer - Risk Information Governance for InfoSphere titles are what you get after passing the exam.

C2090-303, IBM InfoSphere DataStage v9.1 examination syllabus which has been listed by the vendor is also available here as under:

The very first section if Configuration covering only six percent in the exam which includes the knowledge of, how to properly configure DataStage v9.1, tasks required to create and configure a project to be used for v9.1 jobs configuration file, identify its components and its overall intended purpose.

The second section is called Metadata covering only six percent in which applicants have to demonstrate knowledge of framework schema, Identify the method of importing, sharing, and managing metadata and Demonstrate knowledge of runtime column propagation.

The third section is called Persistent Storage covering fifteen percent in the C2090-303, IBM InfoSphere DataStage v9.1 exam which includes the objectives to 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, proper usage of File Sets and Datasets, use of FTP stage for remote data, use of restructure stages, Identify importing/exporting of XML data balanced optimization for Hadoop and integration of Oozie workflows.

The C2090-303, IBM InfoSphere DataStage v9.1 fourth section is Parallel Architecture covering seven percent in which applicants learn about, proper use of data partitioning and collecting and knowledge of parallel execution. Databases is the next section covering only seven percent which includes proper selection of database stages and database specific stage properties, Identify source database options and Demonstrate knowledge of target database options. Data Transformation covers fourteen percent in the exam which covers knowledge of default type conversions, output mappings, and associated warnings, proper selections of Transformer stage vs. other stages, Transformer stage capabilities, the use of Transformer stage variables, process to add functionality not provided by existing DataStage stages, Demonstrate proper use of SCD stage, Demonstrate job design knowledge of using RCP and knowledge of Transformer Stage input and output loop processing. Job Components cover eleven percent in the exam in which applicants have to demonstrate knowledge of Join, Lookup and Merge stages, knowledge of SORT stage, understanding of Aggregator stage, proper usage of change capture/change apply, knowledge of Real-time components and Knowledge of Data Rules. Job Design is the eighth section that covers twelve percent in the exam which includes knowledge of shared containers, how to minimize Sorts and repartitions, knowledge of creating restart points and methodologies, the process necessary to run multiple copies of the source, of creating DataStage jobs that can be used as a service and Knowledge of balanced optimization.

C2090-303, IBM InfoSphere DataStage v9.1 exam learning can also be done by the IBM given course that is, IBM InfoSphere Advanced DataStage.

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