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Last Updated: Aug 17, 2026
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IBM C2090-101 (IBM Big Data Engineer) Exam is a certification exam designed to test the knowledge and skills of individuals seeking to become certified IBM Big Data Engineers. C2090-101 exam covers a wide range of topics related to big data technologies and their implementation, including data management, data ingestion, data transformation, data analysis, and data visualization. Candidates who pass the IBM C2090-101 exam demonstrate their ability to design, build, and maintain big data solutions using IBM technologies.
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Reference: https://www.ibm.com/certify/exam?id=C2090-101
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| Section | Weight | Objectives |
|---|---|---|
| Data Loading | 34% | - Ingest data into HBase and Hive - Extract data from relational sources using Sqoop - Load unstructured data into InfoSphere BigInsights - Load log files with Flume and command-line tools - Create Big SQL tables and load data into Hadoop - Import streaming data using InfoSphere Streams |
| Data Preparation, Transformation, and Export | 26% | - Perform entity resolution and data cleansing - Apply Jaql for data manipulation - Use Pig for data transformation - Create BigSheets workbooks - Export results from Hadoop environment |
| Performance and Scalability | 15% | - Optimize query execution and workload management - Apply best practices for latency and throughput - Ensure high availability and scalability - Tune Hive, HBase, and Big SQL performance |
| Architecture and Integration | 17% | - Implement MapReduce and RDD concepts - Ensure consistent processing with InfoSphere Streams - Design cluster architecture and storage layers - Evaluate use cases for Hive, Big SQL, and HBase - Integrate GPFS and distributed file systems |
| Data Security | 8% | - Monitor and secure sensitive data - Apply data masking and redaction techniques - Comply with security standards (PCI, PII protection) - Implement access control and LDAP security |
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