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