IBM InfoSphere Information Server Technical Mastery Test v2 000-N10 Certified Exam Dumps

000-N10 Exam Dumps

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Certification Provider: IBM
Exam Code / Number: 000-N10
Exam Name: IBM InfoSphere Information Server Technical Mastery Test v2
Exam Questions: 61
Last Updated: Jun 21, 2026
Corresponding Certification: IBM Mastery

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IBM 000-N10 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Integration and ETL (InfoSphere DataStage)- Data movement and transformation
  • 1. Data quality and transformation functions
    • 2. Connectors and stages
      - DataStage job design
      • 1. Staging and transformation logic
        • 2. Parallel jobs and sequences
          Topic 2: Installation and Configuration- Installation planning and prerequisites
          • 1. System requirements and environment setup
            • 2. Database and repository configuration
              - Post-installation configuration
              • 1. Service tier configuration
                • 2. Client and server connectivity setup
                  Topic 3: Performance Tuning and Troubleshooting- System troubleshooting
                  • 1. Common failure scenarios and resolution
                    • 2. Logging and error diagnosis
                      - Performance optimization
                      • 1. Resource management
                        • 2. Job tuning and parallel processing optimization
                          Topic 4: IBM InfoSphere Information Server Architecture- Core components and platform architecture
                          • 1. Integration services and engine components
                            • 2. InfoSphere Information Server overview
                              - System topology and deployment concepts
                              • 1. Domain and services architecture
                                • 2. Scalability and distributed deployment concepts
                                  Topic 5: Metadata Management and Governance- Metadata repository concepts
                                  • 1. Metadata services and repository structure
                                    • 2. Lineage and impact analysis
                                      - Data governance and security
                                      • 1. User roles and access control
                                        • 2. Data governance workflows


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