IBM COG-625 Exam Details & Actual Exam Questions

  • Exam Code/Number: COG-625
  • Exam Name/Title: IBM Cognos 10 BI Data Warehouse Developer
  • Certification Provider: IBM
  • Corresponding Certification: IBM Cognos
  • Exam Questions: 84
  • Updated On: Sep,05 2026
  • Certification Level: Professional

IBM Cognos 10 BI Data Warehouse Developer Exam Questions

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IBM COG-625 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cognos 10 BI Data Warehouse Developer
Exam Number:C2090-625
Related Certifications:IBM Cognos 10 BI Data Modeler
IBM Cognos BI Certification
IBM Certified Solution Developer - Cognos BI
Available Languages:English
Certificate Validity Period:Does not expire (legacy IBM certification policy varies by program)
Exam Duration:90 minutes
Exam Format:Multiple choice, Scenario-based questions
Passing Score:60-70%
Exam Price:USD 200-250 (varies by region)
Real Exam Qty:60-70
Sample Questions:IBM COG-625 Sample Questions
Exam Way:Online proctored or authorized testing center (varies by region and IBM testing partner)
Pre Condition:Recommended experience with IBM Cognos BI and data warehousing concepts; no strict prerequisite but prior BI experience is strongly advised.
Official Syllabus URL:https://www.ibm.com/certify

IBM COG-625 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: IBM Cognos 10 BI Architecture20%- Content Manager and report services
- Framework Manager role in data modeling
- Cognos BI components and services
Topic 2: Data Warehouse Concepts15%- Fact and dimension tables design principles
- Dimensional modeling (star and snowflake schemas)
- Data warehouse architecture overview
Topic 3: Security and Performance Optimization10%- Query optimization strategies
- Authentication and authorization in Cognos
- Report performance tuning techniques
Topic 4: Reporting and Analysis15%- Cognos Query Studio and Analysis Studio usage
- Dashboard and interactive reporting concepts
- Report Studio report development
Topic 5: Data Modeling and Framework Manager25%- Metadata modeling and relational data sources
- Business rules and calculations in models
- Query subjects and query items design
Topic 6: ETL and Data Integration15%- Data staging and loading strategies
- Data sourcing and transformation concepts
- Data quality and consistency management


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