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IBM Big Data Engineer Exam Certification Details:
| Exam Name | IBM Certified Data Engineer - Big Data |
| Number of Questions | 53 |
| Passing Score | 64% |
| Duration | 75 mins |
| Books / Training | IBM Knowledge Center |
| Exam Price | $200 (USD) |
| Exam Code | C2090-101 |
| Schedule Exam | Pearson VUE |
| Sample Questions | IBM Big Data Engineer Sample Questions |
IBM C2090-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance and Scalability | 15% | - Tune Hive, HBase, and Big SQL performance - Apply best practices for latency and throughput - Optimize query execution and workload management - Ensure high availability and scalability |
| Data Security | 8% | - Implement access control and LDAP security - Apply data masking and redaction techniques - Comply with security standards (PCI, PII protection) - Monitor and secure sensitive data |
| Data Preparation, Transformation, and Export | 26% | - Perform entity resolution and data cleansing - Apply Jaql for data manipulation - Export results from Hadoop environment - Create BigSheets workbooks - Use Pig for data transformation |
| Data Loading | 34% | - Create Big SQL tables and load data into Hadoop - Ingest data into HBase and Hive - Extract data from relational sources using Sqoop - Import streaming data using InfoSphere Streams - Load unstructured data into InfoSphere BigInsights - Load log files with Flume and command-line tools |
| Architecture and Integration | 17% | - Design cluster architecture and storage layers - Evaluate use cases for Hive, Big SQL, and HBase - Ensure consistent processing with InfoSphere Streams - Integrate GPFS and distributed file systems - Implement MapReduce and RDD concepts |
