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Cloudera CCD-470 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Integration Tools | 13% | - Flume for streaming data collection - Sqoop for relational data import/export |
| Pig | 12% | - Custom functions and optimization - Pig Latin syntax and data processing |
| HDFS | 17% | - Block management, replication, and troubleshooting - File operations, permissions, and compression - HDFS architecture and components |
| MapReduce & YARN | 25% | - MRv1 vs MRv2 (YARN) differences - MapReduce programming model and workflow - Input/output formats, combiners, partitioners, joins - Job configuration, optimization, and debugging |
| HBase | 18% | - Data access, schema design, and performance tuning - HBase architecture and data model - Integration with MapReduce |
| Hive | 15% | - Storage formats and partitioning - Hive data model, queries, and optimization - Hive execution engine and Tez integration |
