Exam Name: CCA Spark and Hadoop Developer Exam
Certification Provider: Cloudera
Corresponding Certification: Cloudera Certified
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Reference: https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html
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Cloudera CCA175 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 20% | - Ingest data into HDFS using Flume - Import/export data between relational databases and HDFS - Ingest data into HDFS using Sqoop |
| Topic 2: 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 |
| Topic 3: Transform, Stage, and Store Data | 35% | - Perform ETL operations using Spark API - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) - Write transformed results back to HDFS - Load data from HDFS into Spark |
| Topic 4: Data Analysis | 35% | - Join multiple datasets - Use Spark SQL and interact with Hive metastore - Create and query temporary views and tables - Perform aggregations and calculations - Filter and sort datasets |
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