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Cloudera CCA175 Exam Syllabus

Cloudera CCA175 Exam

CCA Spark and Hadoop Developer

Total Questions: 96

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Cloudera CCA175 Exam Overview :

Exam Name CCA Spark and Hadoop Developer
Exam Code CCA175
Official Information https://www.cloudera.com/about/training/certification/cca-spark.html
See Expected Questions Cloudera CCA175 Expected Questions in Actual Exam
Take Self-Assessment Use Cloudera CCA175 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Cloudera CCA175 Exam Topics :

Section Weight Objectives
Transform, Stage, and Store

Convert a set of data values in a given format stored in HDFS into new data values or a new data format and write them into HDFS.

  • Load data from HDFS for use in Spark applications

  • Write the results back into HDFS using Spark

  • Read and write files in a variety of file formats

  • Perform standard extract, transform, load (ETL) processes on data using the Spark API
Data Analysis

Use Spark SQL to interact with the metastore programmatically in your applications. Generate reports by using queries against loaded data.

  • Use metastore tables as an input source or an output sink for Spark applications

  • Understand the fundamentals of querying datasets in Spark

  • Filter data using Spark

  • Write queries that calculate aggregate statistics

  • Join disparate datasets using Spark

  • Produce ranked or sorted data
Configuration

This is a practical exam and the candidate should be familiar with all aspects of generating a result, not just writing code.

  • Supply command-line options to change your application configuration, such as increasing available memory

Updates in the Cloudera CCA175 Exam Syllabus:

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