IBM C2090-101 Exam Questions : IBM Big Data Engineer

  • Exam Code: C2090-101
  • Exam Name: IBM Big Data Engineer
  • Updated: Jul 23, 2026
  • Q&As: 108 Questions and Answers

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

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C2090-101 exam dumps

IBM C2090-101 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our C2090-101 exam dumps will include the following topics:

  • Data Loading: 34%
  • Data Preparation, Transformation, and Export: 26%
  • Architecture and Integration: 17%
  • Data Security: 8%
  • Performance and Scalability: 15%

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IBM C2090-101 Exam Syllabus Topics:

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

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