CCA 175 Spark and Hadoop Developer Certification using Scala

Hello Learners. Welcome to the course "CCA175 Spark and Hadoop developer exam". This course contains CCA 175 exam practice tests which will help the learners to prepare for the main certification exam. This course will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam. CCA certification exam questions requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required.

NOTE : CCA175 has been upgraded. CCA175 is a hands-on, practical exam using Cloudera technologies. Each user is given their own CDH6 (currently 6.1.1) cluster pre-loaded with Spark 2.4

Required Skills

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.