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Hortonworks® Certification Practice Material : Following products are available for Certification preparation

HDPCD : No Java
HDPCD : Spark  HDPCA : Hadoop Admin 

Hortonworks : HDPCD Hadoop Professional No Java

Following Hortonworks Certification are available :
  1. Hortonworks Developer (No Java ) Developer Certification
  2. Hortonworks Spark Developer Certification
Hortonworks HDPCD BigData Hadoop Professional Certification material  : Total 74 Solved scenarios which includes in depth complex scenarios solved for Sqoop,  Hive, Pigs, Flume,  Joins,  regular expressions, complex queries as per the objective mentioned by Hortonworks covering the entire syllabus. Its a performance based exam to do hands-on task on HDP platform (Complemenatry Selected videos will be provided to help with this.) Practice and Sample Problem with its solutions will be provided in HadoopExam Simulator only (Check Below Video to understand more). In real exam you will be asked many problems which can be solved mixing the components e.g. Hive and Sqoop , Pig, Flume etc. We have added complex scenerio as well as step by step solutions for each practice task. This problem scnerios not only helps for HDPCD exam, but also it will help in your real life BigData problems. Hence solve these scenarios and become BigData experts, with HandsOn. Once you complete all 74 problem scenarios your own, you will be ready to clear real HDPCD No JAVA exam. This is one of the most demanding certification among the Hadoop Developer on HadoopExam.com


This certification is helpful for all the analyst, Hadoop Developer and Data scientists  who are working in various industry like E-Commerce, Finanace, Investment Banks, Health Care , Telecom  and with many start ups.

  • Training Access : No time constraint Anytime Access (Any future enhancements on training will be free)
  • Question Bank (Simulator) : Now you can have free updates for additional or updated Questions  anytime (Any future updates on same activation is free)
  • Get updates: Before appearing in real exam, please drop an email to us. If there is any update like new questions, new tricks, syllabus change, new tips etc. is available with us we will share with you. 

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Note : This product is tested only on Windows Operating System. IOS users are using this Wine Bottler to run exe.

* Please read faq section carefully

REQUIRED SKILLS FOR HDPCD EXAM

Data Ingestion
  • Import data from a table in a relational database into HDFS
  • Import the results of a query from a relational database into HDFS
  • Import a table from a relational database into a new or existing Hive table
  • Insert or update data from HDFS into a table in a relational database
  • Given a Flume configuration file, start a Flume agent
  • Given a configured sink and source, configure a Flume memory channel with a specified capacity
Data Transformation
  • Write and execute a Pig script
  • Load data into a Pig relation without a schema
  • Load data into a Pig relation with a schema
  • Load data from a Hive table into a Pig relation
  • Use Pig to transform data into a specified format
  • Transform data to match a given Hive schema
  • Group the data of one or more Pig relations
  • Use Pig to remove records with null values from a relation
  • Store the data from a Pig relation into a folder in HDFS
  • Store the data from a Pig relation into a Hive table
  • Sort the output of a Pig relation
  • Remove the duplicate tuples of a Pig relation
  • Specify the number of reduce tasks for a Pig MapReduce job
  • Join two datasets using Pig
  • Perform a replicated join using Pig
  • Run a Pig job using Tez
  • Within a Pig script, register a JAR file of User Defined Functions
  • Within a Pig script, define an alias for a User Defined Function
  • Within a Pig script, invoke a User Defined Function
Data Analysis
  • Write and execute a Hive query
  • Define a Hive-managed table
  • Define a Hive external table
  • Define a partitioned Hive table
  • Define a bucketed Hive table
  • Define a Hive table from a select query
  • Define a Hive table that uses the ORCFile format
  • Create a new ORCFile table from the data in an existing non-ORCFile Hive table
  • Specify the storage format of a Hive table
  • Specify the delimiter of a Hive table
  • Load data into a Hive table from a local directory
  • Load data into a Hive table from an HDFS directory
  • Load data into a Hive table as the result of a query
  • Load a compressed data file into a Hive table
  • Update a row in a Hive table
  • Delete a row from a Hive table
  • Insert a new row into a Hive table
  • Join two Hive tables
  • Run a Hive query using Tez
  • Run a Hive query using vectorization
  • Output the execution plan for a Hive query
  • Use a subquery within a Hive query
  • Output data from a Hive query that is totally ordered across multiple reducers
  • Set a Hadoop or Hive configuration property from within a Hive query

Purpose of the exam

  • The purpose of this exam is to provide organizations that use Hadoop with a means of identifying suitably qualified staff to develop Hadoop applications for storing, processing, and analyzing data stored in Hadoop using the open-source tools of the Hortonworks Data Platform (HDP), including Pig, Hive, Sqoop and Flume.

Exam Description

  • The exam has three main categories of tasks that involve:
    • Data ingestion
    • Data transformation
    • Data analysis
    The exam is based on the Hortonworks Data Platform 2.4 installed and managed with Ambari 2.2, which includes Pig 0.15.0, Hive 1.2.1, Sqoop 1.4.6, and Flume 1.5.2. Each candidate will be given access to an HDP 2.4 cluster along with a list of tasks to be performed on that cluster.

Minimally Qualified Candidate 

  • The Minimally Qualified Candidate (MQC) for this certification can develop Hadoop applications for ingesting, transforming, and analyzing data stored in Hadoop using the open-source tools of the Hortonworks Data Platform, including Pig, Hive, Sqoop and Flume. Those certified are recognized as having high level of skill in Hadoop application development and have demonstrated that knowledge by performing the objectives of the HDPCD exam on a live HDP cluster.

About Hortonworks

  • Hortonworks develops, distributes and supports the only 100 percent open source distribution of Apache Hadoop explicitly architected, built and tested for enterprise-grade deployments.

* Please read faq section carefully.


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