CCA175 Exam Questions - CCA Spark and Hadoop Developer Exam

  Edina  11-24-2020

CCA175 CCA Spark and Hadoop Developer Exam is a Cloudera Certified Associate (CCA) Certification test. PassQuestion has the right solutions for you to pass your Cloudera CCA175 Exam with confidence. We have the most advanced CCA175 Exam Questions that will help you pass your CCA175 Exam. You must read the CCA175 Exam Questions provided by PassQuestion related to the subjects, which will help you to be prepared for clearing the Cloudera CCA175 exam in the shortest possible time.

What is CCA175 CCA Spark and Hadoop Developer Exam?

CCA-175 is basically an CCA Spark and Hadoop Developer Certification. The main objective of this Certification is to help the Hadoop developers to establish a formidable command over the traditional Hadoop Development protocols with advanced tools and operational procedures. CCA175 CCA Spark and Hadoop Developer Exam validates the candidate's ability to employ various Big Data tools such as Hadoop, Spark, Hive, Impala, Sqoop, Flume, Kafka, etc to solve hands-on problems.

Exam Information

Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster. 
Time Limit: 120 minutes
Passing Score: 70%
Language: English
Price: USD $295    

Exam 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


  • 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

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