IBM C2090-101 : IBM Big Data Engineer

C2090-101 real exams

Exam Code: C2090-101

Exam Name: IBM Big Data Engineer

Updated: Aug 06, 2026

Q & A: 108 Questions and Answers

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C2090-101 Exam Reference

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IBM Big Data Engineer Exam Certification Details:

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

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

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IBM C2090-101 Exam Syllabus Topics:

SectionObjectives
Big Data Ecosystem Tools- Hadoop ecosystem
  • 1. YARN resource management
    • 2. Hive and Pig basics
      - Data storage and query tools
      • 1. HBase overview
        • 2. Data querying strategies
          Data Ingestion and Integration- Data ingestion tools
          • 1. ETL concepts
            • 2. Streaming ingestion pipelines
              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
                      Data Processing and Analytics- Spark ecosystem
                      • 1. Spark Core and RDDs
                        • 2. Spark SQL and DataFrames
                          - Batch and stream processing
                          • 1. Real-time data processing fundamentals
                            • 2. MapReduce concepts
                              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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