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CCA Spark and Hadoop Developer
Last Updated: Oct 2, 2024
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96 Questions and Answers for the Cloudera CCA175 exam
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Cloudera CCA Spark and Hadoop Developer Syllabus
- Understand the fundamentals of querying datasets in Spark/ Write the results back into HDFS using Spark
- Write queries that calculate aggregate statistics/ Load data from HDFS for use in Spark applications
- Use meta store tables as an input source or an output sink for Spark applications/ Filter data using Spark
- Generate reports by using queries against loaded data/ Produce ranked or sorted data
- Perform standard extract, transform, load (ETL) processes on data using the Spark API/ Join disparate datasets using Spark
- Use Spark SQL to interact with the meta store programmatically in your applications/ Read and write files in a variety of file formats