IBM C2090-303 Exam Details & Actual Exam Questions
- Exam Code/Number: C2090-303
- Exam Name/Title: IBM InfoSphere DataStage v9.1
- Certification Provider: IBM
- Corresponding Certification: IBM Certified Solution Developer
- Exam Questions: 134
- Updated On: Sep,08 2026
- Certification Level: Intermediate / Professional
IBM InfoSphere DataStage v9.1 Exam Questions
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(39 Up Votes)IBM C2090-303 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM InfoSphere DataStage v9.1 |
| Exam Number: | C2090-303 |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Duration: | 90 minutes |
| Related Certifications: | IBM Certified Specialist - InfoSphere DataStage v9.1 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 200 |
| Real Exam Qty: | 67 |
| Passing Score: | 59% |
| Recommended Training: | IBM InfoSphere DataStage v9.1 Training |
| Exam Registration: | Pearson VUE Scheduling IBM Certification & Registration |
| Sample Questions: | IBM C2090-303 Sample Questions |
| Exam Way: | Proctored online or at authorized Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisite exams; recommended experience with SQL, database concepts, and basic DataStage development |
| Official Syllabus URL: | https://www.ibm.com/certify/exams/C2090-303 |
IBM C2090-303 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Complex Jobs & Real-Time | 10% | - Information Services Director (ISD) - Job sequences and dependencies - Real-time integration patterns |
| Parallel Architecture | 7% | - Environment variables for parallel jobs - Parallel execution framework - Partitioning and collecting methods |
| Performance Tuning | 10% | - Environment variable tuning - Identifying bottlenecks - Sorting and partitioning optimization |
| Job Design Principles | 12% | - Shared containers and reusable components - Restart points and checkpoint design - Minimizing sorts and repartitions - Performance-oriented job design |
| Database Connectivity | 7% | - SQL pushdown and data type handling - Connection configuration and optimization - Database Connector stages |
| Job Control & Runtime Management | 6% | - Error handling and message handlers - Log analysis and troubleshooting - Monitoring execution status |
| Deployment & Source Control | 7% | - Job comparison and impact analysis - Export/import of jobs and projects - Source control integration |
| Configuration | 6% | - Project and environment setup - Node pools and parallel environment design - Configuration file structure |
| Metadata | 6% | - Schema management and import - Runtime Column Propagation (RCP) - Metadata sharing and reuse |
| Data Transformation | 14% | - Type conversion and derivations - Slowly Changing Dimension (SCD) stage - Change Capture and Apply stages - Transformer stage functionality |
| Persistent Storage | 15% | - File format and record structure - Data import/export operations - Sequential File and Data Set stages |
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