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IBM A2090-303 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Job Design Concepts | - Transformer and data flow basics - Introduction to job stages and links |
| Data Integration Basics | - Flat file and database integration overview - Connecting to data sources |
| DataStage Fundamentals | - Core concepts of InfoSphere DataStage - Basic ETL and data integration principles |
| Basic Troubleshooting and Monitoring | - Job run monitoring basics - Simple error identification concepts |
| DataStage Architecture Overview | - Parallel processing architecture basics - Components of DataStage environment |
IBM Assessment: IBM InfoSphere DataStage v9.1 Assessment Sample Questions:
The ODBC stage can handle which two SQL Server data types? (Choose two.)
- A. GUID
- B. Date
- C. Datetime
- D. Time
- E. SmallDateTime
Which statement is true about table definitions created in DataStage Designer?
- A. When a table definition is created in one DataStage project, it is automatically available in other DataStage projects, but not outside of DataStage.
- B. Table definitions created in DataStage Designer are local to DataStage and cannot be shared with other Information Server products.
- C. By default, table definitions created in DataStage Designer are visible to other Information Server products.
- D. Table definitions created in DataStage Designer are not by default available to other Information Server products, but they can be shared with other Information Server products.
Configuring the weighting column of an Aggregator stage affects which two options. (Choose two.)
- A. Maximum Value
- B. Average of Weights
- C. Coefficient of Variation
- D. Sum
- E. Uncorrected Sum of Squares
Click on the Exhibit button.
Provided you have enough system resources, what is the maximum number of jobs that could be running concurrently in this image?
- A. 5
- B. 2
- C. 4
- D. 3
What two binding types are supported by Information Services Director (ISD) for a parallel job that is designed to be used as a service? (Choose two.)
- A. HDFS
- B. EJB
- C. SOAP
- D. STREAMS
- E. SQL
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