Understand HDPCD, Hortonworks Data Platform Certified Developer Exam

Exam HDPCD: Hortonworks Data Platform Certified Developer is created for the professionals that are specifically developers and have the experience related to the data platform for which they can work on. The exam takers need to prepare and practice for the exam to pass this test and get certified.

Actual Tests HDPCD: Hortonworks Data Platform Certified Creature exam helps the professionals to be able to Explain Hadoop 2.X and the Hadoop Distributed File System, the YARN framework, Create and run a Java Product application on YARN, Use combiners and in-map aggregation, Write a custom practitioner to avoid data skew on reducers, Perform a secondary sort, Recognize use cases for built-in input and output formats, custom Product input and output format, Optimize a Product job, Configure Product to optimize mappers and reducers, Create a custom RawComparator class, Distribute files as Local Resources, Explain and perform join techniques in Hadoop, Perform unit tests using the Unit MR API, Explain the basic architecture of HBase, Write an HBase Product application, List use cases for Pig and Hive, Write a simple Pig script to explore and transform big data, Write a Pig UDF (User-Defined Function) in Java, Write a Hive UDF in Java, Use Job Control class to create a Product workflow, Use Oozie to define and schedule workflows.

The applicants also need to get the lab part done which consists of Configuring a Hadoop Createment Environment, Putting data into HDFS using Java, Write a distributed grep Product application, Write an inverted index Product application, Configure and use a combiner, Writing custom combiners and partitioners, Globally sort output using the TotalOrderPartitioner, Writing a Product job to sort data using a composite key, Writing a custom Input HDPCD PDF Format class, Writing a custom OutputFormat class, Compute a simple moving average of stock price data, Use data compression, Define a RawComparator, Perform a map-side join, Using a Bloom filter, Unit testing a Product job, Importing data into HBase, Writing an HBase Product job, Writing User-Defined Pig and Hive functions and Defining an Oozie workflow.

HDPCD: Hortonworks Data Platform Certified Creature exam content has been given in detail as under:

• The first objective is called HDFS and Product which covers the task to Understand how the Name Node maintains the filesystem metadata, how data is stored in HDFS, Define a custom Practitioner, Use the Distributed Cache and Use the Composite InputFormat class.
• The second objective is called YARN which includes the learning of the architecture of YARN, the components of the YARN ResourceManager, Demonstrate the relationship between NodeManagers and ApplicationMasters, Demonstrate the relationship between Resource Managers and ApplicationMasters, and explain the relationship between Containers and ApplicationMasters and how Container failure is handled for a YARN Product job.

Third objective is called Pig and Hive in which the applicants have to Differentiate between Pig data types, including the complex types bag, tuple and map, Define Pig relations, Write a User-Defined Pig Function, Invoke a Pig UDF, Explain how Hive tables are defined and implemented, Manage External vs. Hive-managed tables, Write a User-Defined Hive Function and Invoke a Hive UDF.

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