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CCA Spark and Hadoop Developer (CCA175) is an exam intended for certification of professionals who are experienced in applying Cloudera technologies to develop applications. Executed by Cloudera, the CCA Spark and Hadoop Developer (CCA175) exam tests candidates' knowledge in Spark, the Java programming language, Hadoop MapReduce (MR), and other related skills. Exponentially growing IT market has made it necessary for your success in Cloudera Certified Advanced Architect- Data Engineer. Covered in the Cloudera Certified Advanced Architect- Data Engineer exam questions are the aspects of the software, Cloudera management, live data, Hadoop Distributed File Systems, and other technologies. Package Cloudera technical interview questions are used for this exam. The candidates have to provide the right answers according to the scenario and if they failed to produce any answer, then they may get the question repeated again. Cloudera CCA175 exam dumps can be helpful in your success because you will get a well-formatted question from which you can predict the answer to the upcoming question.
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Cloudera CCA175 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis | 35% | - Use Spark SQL and interact with Hive metastore - Join multiple datasets - Perform aggregations and calculations - Filter and sort datasets - Create and query temporary views and tables |
| Topic 2: Transform, Stage, and Store Data | 35% | - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) - Write transformed results back to HDFS - Perform ETL operations using Spark API - Load data from HDFS into Spark |
| Topic 3: Application Configuration and Execution | 10% | - Set memory, cores, and execution parameters - Use Spark Shell (Scala/PySpark) for interactive analysis - Submit Spark applications via spark-submit |
| Topic 4: Data Ingestion | 20% | - Import/export data between relational databases and HDFS - Ingest data into HDFS using Sqoop - Ingest data into HDFS using Flume |




