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Cloudera CCA175 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Transform, Stage, and Store Data | 35% | - Load data from HDFS into Spark - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) - Write transformed results back to HDFS - Perform ETL operations using Spark API |
| Data Ingestion | 20% | - Import/export data between relational databases and HDFS - Ingest data into HDFS using Flume - Ingest data into HDFS using Sqoop |
| Application Configuration and Execution | 10% | - Submit Spark applications via spark-submit - Use Spark Shell (Scala/PySpark) for interactive analysis - Set memory, cores, and execution parameters |
| Data Analysis | 35% | - Use Spark SQL and interact with Hive metastore - Create and query temporary views and tables - Filter and sort datasets - Perform aggregations and calculations - Join multiple datasets |






