IBM 000-M94 Exam Details & Actual Exam Questions

  • Exam Code/Number: 000-M94
  • Exam Name/Title: IBM InfoSphere DataStage Fundamentals Tech Mastery v1
  • Certification Provider: IBM
  • Corresponding Certification: Sales Mastery
  • Exam Questions: 48
  • Updated On: Sep,06 2026
  • Certification Level: Professional

IBM InfoSphere DataStage Fundamentals Tech Mastery v1 Exam Questions

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IBM 000-M94 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM InfoSphere DataStage Fundamentals Tech Mastery v1
Exam Number:000-M94
Related Certifications:IBM InfoSphere DataStage Certification Path
IBM Certified Data Engineer
Exam Duration:90 minutes
Real Exam Qty:60-70
Available Languages:English
Exam Price:USD 200-250 (varies by region)
Exam Format:Multiple response, Multiple choice
Certificate Validity Period:2 years
Recommended Training:IBM Training - DataStage courses
Exam Registration:IBM Certification Portal
Sample Questions:IBM 000-M94 Sample Questions
Exam Way:Online proctored or authorized test center delivery
Pre Condition:Basic understanding of data integration concepts and relational databases is recommended.
Official Syllabus URL:https://www.ibm.com/training/certification

IBM 000-M94 Exam Syllabus Topics:

SectionObjectives
Topic 1: Parallel Job Design- Performance considerations
  • 1. Resource optimization
    • 2. Job tuning basics
      - Partitioning and parallelism
      • 1. Data distribution strategies
        • 2. Partitioning methods
          Topic 2: DataStage Fundamentals- Architecture overview
          • 1. Parallel processing concepts
            • 2. Client-server architecture components
              - Job design basics
              • 1. Data flow design principles
                • 2. Jobs, stages, and links
                  Topic 3: Data Sources and Connectivity- Database connectivity
                  • 1. ODBC/JDBC connectivity
                    • 2. Enterprise database integration
                      - File-based data sources
                      • 1. Sequential file stages
                        • 2. Delimited and structured files
                          Topic 4: Job Management and Administration- Job scheduling and execution
                          • 1. Runtime environment management
                            • 2. Job sequencing
                              - Monitoring and troubleshooting
                              • 1. Error handling and recovery
                                • 2. Log analysis
                                  Topic 5: Data Integration and Transformation- Data transformation stages
                                  • 1. Transformer stage usage
                                    • 2. Lookup and join operations
                                      - Data handling techniques
                                      • 1. Data cleansing basics
                                        • 2. Handling nulls and defaults


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