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IBM C2090-303 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Job Design and Development | - Stages and transformers - Data flow design principles - Job types (parallel, server, sequence) |
| Topic 2: Administration and Deployment | - Security and user management - Job scheduling and monitoring |
| Topic 3: Data Integration and Transformation | - Lookup and join strategies - Data extraction and loading techniques - Data transformation logic |
| Topic 4: Performance Tuning and Optimization | - Memory and partitioning strategies - Parallel job tuning |
| Topic 5: DataStage Architecture and Concepts | - Parallel processing architecture - InfoSphere DataStage components - Project and environment structure |
IBM InfoSphere DataStage v9.1 Sample Questions:
1. What role must a user have to delete shared metadata assets from the repository?
A) DataStage Administrator
B) Business Glossary Administrator
C) Common Metadata Administrator
D) Information Analyzer Administrator
2. Which two file stages allow you to configure rejecting data to a reject link? (Choose two.)
A) Data Set Stage
B) Complex Flat File Stage
C) Big Data File Stage
D) Compare Stage
E) Lookup File Set Stage
3. In your ETL application design you have found several areas of common processing requirements in the mapping specifications. These common logic areas found include: code validation lookups and name formatting. The common logic areas have the same logic, but the jobs using them would have different column metadata. Choose the action that gives you the best reusability design to effectively implement these common logic areas in your ETL application?
A) Create parallel routines for each of the common logic areas and for each of the unique column metadata formats.
B) Create parallel shared containers and define columns combining all data formats.
C) Create parallel shared containers with Runtime Column Propagation (RCP) ON and define only necessary common columns needed for the logic.
D) Create separate jobs for each layout and choose the appropriate job to run within a job sequencer.
4. Identify two restructure stages that allow you to create or organize vectors in the output link results? (Choose two.)
A) Make Subrecord
B) Split Subrecord
C) Merge records
D) Split Vector
E) Column Import
5. Which stage classifies data rows from a single input into groups and computes totals?
A) Aggregator stage
B) Compare stage
C) Modify stage
D) Transformer stage
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B,C | Question # 3 Answer: C | Question # 4 Answer: A,B | Question # 5 Answer: A |




