IBM COG-635日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: COG-635日本語
  • Exam Name/Title: IBM Cognos 10 BI OLAP Developer (COG-635日本語版)
  • Certification Provider: IBM
  • Corresponding Certification: IBM Cognos
  • Exam Questions: 65
  • Updated On: Oct,27 2026
  • Certification Level: Professional

IBM Cognos 10 BI OLAP Developer (COG-635日本語版) Exam Questions

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This exam has been stopped to register, new exam code replace: C2090-635J

IBM COG-635日本語 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cognos 10 BI OLAP Developer
Exam Number:C2020-635
Available Languages:English
Certificate Validity Period:Not publicly specified
Real Exam Qty:Approximately 60 (varies)
Exam Price:Not publicly specified
Passing Score:Not publicly specified
Exam Format:Multiple choice, Scenario-based questions
Exam Duration:90 minutes
Related Certifications:IBM Certified Developer - Cognos 10 BI OLAP Solutions
Sample Questions:IBM COG-635日本語 Sample Questions
Exam Way:Online proctored or test center exam via IBM certification partner
Pre Condition:Recommended experience with IBM Cognos BI and basic data warehousing concepts
Official Syllabus URL:https://www.ibm.com/certify

IBM COG-635日本語 Exam Syllabus Topics:

SectionObjectives
Framework Manager and Model Design- Dimensional modeling
  • 1. Star and snowflake schemas
    • 2. Metadata layer design
      Cognos 10 Architecture and Components- BI architecture overview
      • 1. Cognos server components
        • 2. OLAP data modeling concepts
          Report and Analysis Integration- OLAP reporting tools
          • 1. Analysis Studio usage
            • 2. Report Studio integration
              Security and Administration- Access control and authentication
              • 1. User roles and permissions
                • 2. Data security in OLAP environments
                  OLAP Cube Design and Development- Cube creation and deployment
                  • 1. Dimension and measure design
                    • 2. Build and publish cubes
                      Performance Optimization- Cube and query performance tuning
                      • 1. Caching strategies
                        • 2. Aggregation optimization


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