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Last Updated: Aug 15, 2026

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  • Format: Multiple choices, multiple answers
  • Length of Examination: 75 minutes
  • Number of Questions: 53

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

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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IBM C2090-101 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Foundations12%- Big Data concepts
  • 1. Volume, Velocity, Variety, Veracity
  • 2. Big Data architecture fundamentals
  • 3. Big Data use cases
Topic 2: Data Collection and Ingestion14%- Data acquisition technologies
  • 1. Flume
  • 2. Sqoop
  • 3. Kafka
Topic 3: Hadoop Distributed Processing28%- Hadoop ecosystem
  • 1. Cluster management
  • 2. HDFS architecture
  • 3. YARN
  • 4. MapReduce
Topic 4: Data Governance, Security and Administration22%- Operational management
  • 1. Data governance
  • 2. Monitoring and troubleshooting
  • 3. Performance tuning
  • 4. Security concepts
Topic 5: Data Transformation and Analytics24%- Data processing frameworks
  • 1. Apache Pig
  • 2. Data querying and transformation
  • 3. Apache Spark fundamentals
  • 4. Apache Hive

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