IBM P2090-045 Exam Details & Actual Exam Questions

  • Exam Code/Number: P2090-045
  • Exam Name/Title: IBM InfoSphere Information Server for Data Integration Fundamentals Technical Mastery Test v1
  • Certification Provider: IBM
  • Corresponding Certification: IBM Mastery
  • Exam Questions: 55
  • Updated On: Sep,03 2026
  • Certification Level: Associate

IBM InfoSphere Information Server for Data Integration Fundamentals Technical Mastery Test v1 Exam Questions

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IBM P2090-045 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM InfoSphere Information Server for Data Integration Fundamentals Technical Mastery Test v1
Exam Number:P2090-045
Real Exam Qty:55
Available Languages:English
Certificate Validity Period:Not explicitly specified (typically IBM Mastery tests are non-expiring or program-dependent)
Related Certifications:IBM InfoSphere Information Server Technical Mastery Test v2
IBM Information Management DB2 Technical Mastery Tests
Exam Format:Multiple Choice Questions
Exam Duration:120 minutes
Exam Price:$49.99 (approx, varies by region/platform)
Passing Score:800
Recommended Training:IBM InfoSphere Information Server training resources
Exam Registration:IBM Training and Certification Portal
Sample Questions:IBM P2090-045 Sample Questions
Exam Way:Computer-based exam (online or authorized testing center depending on region)
Pre Condition:No formal prerequisites required (recommended basic knowledge of data integration and ETL concepts)
Official Syllabus URL:https://www.ibm.com/training

IBM P2090-045 Exam Syllabus Topics:

SectionObjectives
IBM InfoSphere Information Server Fundamentals- DataStage Fundamentals
  • 1. Parallel processing concepts
    • 2. Job design and stages (Sequential File, Join, Transformer)
      - Data Integration Concepts
      • 1. Data movement and transformation basics
        • 2. ETL architecture and workflows
          InfoSphere Metadata Management- Metadata Asset Manager
          • 1. Repository concepts
            • 2. Import/export metadata using bridges
              Data Quality and Connectivity- Connectors and data sources
              • 1. Data validation basics
                • 2. Database connectors and file stages


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