Last Updated: Aug 18, 2026
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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.
Reference: https://www.ibm.com/certify/exam?id=C2090-101
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation, Transformation, and Export | 26% | - Apply Jaql for data manipulation - Use Pig for data transformation - Create BigSheets workbooks - Export results from Hadoop environment - Perform entity resolution and data cleansing |
| Topic 2: Data Loading | 34% | - Ingest data into HBase and Hive - Load unstructured data into InfoSphere BigInsights - Import streaming data using InfoSphere Streams - Create Big SQL tables and load data into Hadoop - Load log files with Flume and command-line tools - Extract data from relational sources using Sqoop |
| Topic 3: Architecture and Integration | 17% | - Implement MapReduce and RDD concepts - Integrate GPFS and distributed file systems - Ensure consistent processing with InfoSphere Streams - Evaluate use cases for Hive, Big SQL, and HBase - Design cluster architecture and storage layers |
| Topic 4: Data Security | 8% | - Implement access control and LDAP security - Monitor and secure sensitive data - Comply with security standards (PCI, PII protection) - Apply data masking and redaction techniques |
| Topic 5: Performance and Scalability | 15% | - Tune Hive, HBase, and Big SQL performance - Ensure high availability and scalability - Apply best practices for latency and throughput - Optimize query execution and workload management |
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