Hortonworks Exam PDF Based On the Updated HDPCD Exam Syllabus

In order to establish an industry-recognized certification, Hortonworks redesigned its certification program. Instead of asking multiple-choice questions, candidates now demonstrate their Hadoop expertise by completing real-world tasks on a Hortonworks Data Platform (HDP) cluster. You might comprehend exam material with the aid of the official Hortonworks study guide. Get the Hortonworks Exam PDF as well for practice problems. The first of Hortonwork's new hands-on, performance-based exams for Hadoop developers using frameworks like Pig, Hive, Sqoop, and Flume is the HDP Certified Developer (HDPCD) certification.

How to Register For Hortonworks Data Platform Certified Developer Exam?

Applicants must register on the official Hortonwork website. After logging in and registering, choose "Schedule an Exam" and then type "Hortonworks" into the "Search Here" box to find and choose the HDP Certified Developer exam. The exam will set you back $250 USD.

Each of the activities listed in the list of exam objectives below should be able to be completed by candidates for the HPDCD exam. Applicants are urged to take the practice test as well.

Hortonworks HDPCD Exam Description

The exam's three primary task groups include:

• data consumption
• rearrangement of data
• data evaluation

The Hortonworks Data Platform 2.2, which contains Pig 0.14.0, Hive 0.14.0, Sqoop 1.4.5, and Flume 1.5.0, has been installed and is being managed with Ambari 1.7.0 for the purpose of the exam. Each applicant will receive access to an HDP 2.2 cluster and a set of assignments to complete on it.

HDP Certified Developer (HDPCD) Exam Objectives

Each of the following duties should be accomplished by applicants for the HPDCD exam:

Data Ingestion

• Using the Hadoop file system command, add a local file to HDFS.
• Using the Hadoop file system command, create a new directory in HDFS.
• import information into HDFS from a relational database dataset and import into HDFS the outcomes of a query from a SQL database.
• Create a new or current Hive table and import a table from a relational database into it.
• Update or add data to a dataset in a relational database using HDFS.
• Start a Flume agent by providing a Flume setup file. Configure a Flume memory channel with the required size using a configured sink and source.

Data Transformation

• Don't use a template when loading data into a Pig relation.
• Fill a Pig connection with data using a schema.
• Load information into a Pig relation from a Hive database.
• Utilize Pig to convert data into a desired shape.
• Adapt data to a specified Hive structure.
• data from one or more pig connections together
• Put the information from a Pig connection in an HDFS folder.
• Use Pig to eliminate relational entries with null values.
• Fill a Hive database with the data from a Pig relation.
• Sort a Pig relation's product.
• Take a Pig relation's redundant tuples out of it.

Data Analysis 

• Create and run a vocal Hive query.
• Define a table maintained by a hive.
• Create an external Hive database.
• Create a Hive database that is partitioned.
• Establish a bucketed Hive database.
• From a select query, define a Hive database.
• Create a Hive database with the ORCFile format.
• From the information in an ORCFile, create a new database.
• Existing Hive database with no ORCFile
• Set the Hive table's storage structure.

Hortonworks Exam PDF - Make Notes for HDPCD Exam Preparation

To prepare for the HDPCD exam, it is important to have a strong understanding of the Hadoop ecosystem and its components, including HDFS, MapReduce, Pig, Hive, and Oozie. It is recommended to have experience with programming in Java and knowledge of SQL. One way to prepare for the exam is to take online training courses and study materials provided by Hortonworks. These resources include the HDP Developer: Quick Start and HDP Developer: Java courses. It is also essential to practice with Hortonworks HDPCD practice test and work on real-world projects to gain practical experience in the Hadoop ecosystem. ExamsKit provides Hortonworks Exam PDF and HDPCD practice test which can help you ace exam in one go.

In addition to these resources, it is beneficial to join online communities and forums to network with other Hadoop developers and learn from their experiences. It is also important to stay up-to-date with the latest trends and updates in the Hadoop ecosystem, which can be achieved by reading industry publications, attending conferences, and participating in webinars and workshops.

Final Words

Hortonworks HDPCD (Hortonworks Data Platform Certified Developer) is an industry-recognized certification that validates a developer's skills and expertise in the field of big data and Hadoop. This certification is designed to assess a developer's proficiency in designing, developing, and implementing Hadoop-based solutions using Hortonworks Data Platform (HDP). The HDPCD exam tests the candidate's ability to write MapReduce jobs, work with various file formats, utilize Hadoop tools like Pig and Hive, and administer and manage Hadoop clusters.