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