IBM Big Data Engineer : C2090-101

  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Jul 29, 2026     Q & A: 108 Questions and Answers

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IBM Big Data Engineer Exam Certification Details:

Exam Price$200 (USD)
Exam CodeC2090-101
Passing Score64%
Books / TrainingIBM Knowledge Center
Exam NameIBM Certified Data Engineer - Big Data
Schedule ExamPearson VUE
Number of Questions53
Sample QuestionsIBM Big Data Engineer Sample Questions
Duration75 mins

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Certification Path

The IBM Certified Specialist Certification certification includes only one exam IBM C2090-101 exam.

Reference: https://www.ibm.com/certify/exam?id=C2090-101

IBM C2090-101 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Governance and Security- Security in big data systems
  • 1. Authentication and authorization basics
    • 2. Data privacy considerations
      - Data quality and management
      • 1. Metadata management concepts
        • 2. Data cleansing principles
          Topic 2: Big Data Ecosystem Tools- Data storage and query tools
          • 1. Data querying strategies
            • 2. HBase overview
              - Hadoop ecosystem
              • 1. YARN resource management
                • 2. Hive and Pig basics
                  Topic 3: Data Ingestion and Integration- Data ingestion tools
                  • 1. Streaming ingestion pipelines
                    • 2. ETL concepts
                      Topic 4: Data Processing and Analytics- Spark ecosystem
                      • 1. Spark Core and RDDs
                        • 2. Spark SQL and DataFrames
                          - Batch and stream processing
                          • 1. MapReduce concepts
                            • 2. Real-time data processing fundamentals
                              Topic 5: Big Data Foundations- Big data concepts and architecture
                              • 1. Characteristics of big data (volume, velocity, variety)
                                • 2. Distributed computing fundamentals
                                  - Data storage systems
                                  • 1. HDFS concepts and architecture
                                    • 2. NoSQL databases overview

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