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IBM Big Data Engineer : C2090-101

C2090-101

Exam Code: C2090-101

Exam Name: IBM Big Data Engineer

Updated: Sep 07, 2026

Q & A: 108 Questions and Answers

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IBM Big Data Engineer Exam Certification Details:

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

IBM Big Data Engineer C2090-101 Exam

IBM Big Data Engineer C2090-101 Exam is requisite to obtain IBM Analytics Platform Certification. This IBM C2090-101 Exam validates and measures the candidate knowledge in extract data from relational source using Sqoop, Utilize Apache Hue for search Visualization, Export Processing Results out of Hadoop and utilize Consistent Regions in infosphere Streams. Big Data Engineers and Data Security Consultants usually hold or pursue this certification and you can expect the same job roles after completion of IBM Analytics Platform certification.

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C2090-101 Exam Reference

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

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

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IBM C2090-101 Exam Syllabus Topics:

SectionObjectives
Data Ingestion and Integration- Data ingestion tools
  • 1. Streaming ingestion pipelines
    • 2. ETL concepts
      Big Data Foundations- Data storage systems
      • 1. NoSQL databases overview
        • 2. HDFS concepts and architecture
          - Big data concepts and architecture
          • 1. Characteristics of big data (volume, velocity, variety)
            • 2. Distributed computing fundamentals
              Data Governance and Security- Data quality and management
              • 1. Metadata management concepts
                • 2. Data cleansing principles
                  - Security in big data systems
                  • 1. Data privacy considerations
                    • 2. Authentication and authorization basics
                      Big Data Ecosystem Tools- Hadoop ecosystem
                      • 1. Hive and Pig basics
                        • 2. YARN resource management
                          - Data storage and query tools
                          • 1. Data querying strategies
                            • 2. HBase overview
                              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
                                      Related Certifications
                                      IBM certifications II
                                      IBM Certified Infrastructure Deployment Professional
                                      CATE
                                      IBM Certified Data Architect
                                      IBM Storage
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