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| Certification Vendor: | Cloudera |
| Exam Name: | CCA Spark and Hadoop Developer Exam |
| Exam Number: | CCA175 |
| Related Certifications: | CCP Data Engineer CCA Data Analyst |
| Passing Score: | 70% |
| Exam Price: | USD 295 |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Format: | Performance-based, Hands-on tasks, Live cluster environment |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 8-12 |
| Recommended Training: | Cloudera Developer Training for Spark and Hadoop |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | Cloudera CCA175 Sample Questions |
| Exam Way: | Online proctored, delivered remotely via secure browser |
| Pre Condition: | No formal prerequisites; recommended experience with Scala/Python, HDFS, Hive, Sqoop, Flume, and Spark |
| Official Syllabus URL: | https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html |
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Reference: https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html
| Section | Weight | Objectives |
|---|---|---|
| Transform, Stage, and Store Data | 35% | - Write transformed results back to HDFS - Perform ETL operations using Spark API - Load data from HDFS into Spark - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) |
| Data Ingestion | 20% | - Import/export data between relational databases and HDFS - Ingest data into HDFS using Sqoop - Ingest data into HDFS using Flume |
| Application Configuration and Execution | 10% | - Set memory, cores, and execution parameters - Submit Spark applications via spark-submit - Use Spark Shell (Scala/PySpark) for interactive analysis |
| Data Analysis | 35% | - Perform aggregations and calculations - Filter and sort datasets - Use Spark SQL and interact with Hive metastore - Create and query temporary views and tables - Join multiple datasets |
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