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Cloudera Certified Advanced Architect- Data Engineer Exam Technical review
Coding of CCA175 exam questions is sufficient to get success in the exam. Correct answers are being prepared in the most appropriate manner. Covers all the key points of CCA175 exam questions
Cloudera CCA175 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 20% | - Import/export data between relational databases and HDFS - Ingest data into HDFS using Flume - Ingest data into HDFS using Sqoop |
| Topic 2: Application Configuration and Execution | 10% | - Submit Spark applications via spark-submit - Set memory, cores, and execution parameters - Use Spark Shell (Scala/PySpark) for interactive analysis |
| Topic 3: Data Analysis | 35% | - Use Spark SQL and interact with Hive metastore - Filter and sort datasets - Join multiple datasets - Perform aggregations and calculations - Create and query temporary views and tables |
| Topic 4: Transform, Stage, and Store Data | 35% | - Load data from HDFS into Spark - Perform ETL operations using Spark API - Write transformed results back to HDFS - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) |
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