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Last Updated: Aug 15, 2026
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Cloudera CCA175 Practice Q&A's
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Objective of CCA Spark and Hadoop Developer (CCA175) Exam
Cloudera Certified Advanced Architect- Data Engineer (CCA175) is Cloudera's first certification to apply Spark and Hadoop to Java development. After the application of the certification, the technology will be applied to other Cloudera products besides big data. Content of Cloudera Certified Advanced Architect- Data Engineer (CCA175) certification is high level of expertise in Apache Spark and data processing. Change in IT requirements has made it necessary for your success in Cloudera Certified Advanced Architect- Data Engineer. We have designed the CCA Spark and Hadoop Developer (CCA175) questions with your success in mind. The certification exam is based on Cloudera technologies. Updates in the technology and trends and high level of expertise in the industry make it necessary for your success in Cloudera Certified Advanced Architect- Data Engineer exam. We have designed CCA Spark and Hadoop Developer (CCA175) questions with your success in mind.
Certificate for CCA Spark and Hadoop Developer (CCA175) will be awarded for the proven skills in Spark, Java, and Java MapReduce. Scored by Cloudera, the exam will be based on Apache Spark with programming in Java. Preparing for CCA175 exam will take you one step closer to achieving your goals. The CCA175 exam is based on experience in Apache Spark. Specialized skills in the AWS infrastructure will be tested by CCA175 exam questions. Tables and columns data structures, JavaScript, and functional programming will be tested by CCA175 exam questions.
Reference: https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html
Prerequisites of CCA Spark and Hadoop Developer (CCA175) Exam
To be able to get a CCAA certification, a candidate needs to go through a pre-requisite course. There is an online course that takes about 10 hours to complete. This course trains individuals on the following:
- Java Development Tools for Cloudera Products
- Spark SQL DataFrame Data Modeling and Manipulation using HiveQL
- Hadoop Ecosystem, Nodes and Components
Cloudera CCA175 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Ingestion and ETL | - Data transformation
|
| Data Analysis with Hive and Impala | - Hive querying
|
| Data Storage and File Systems | - HDFS fundamentals
|
| Data Processing with Apache Spark | - Spark SQL
|
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