Hortonworks HDPCD Exam Topics
Hortonworks HDPCD Exam Overview :
| Exam Name: | Hortonworks Data Platform Certified Developer |
| Exam Code: | HDPCD |
| Certifications: | Hortonworks HDPCD Certification |
| Actual Exam Duration: | 120 minutes |
| Expected no. of Questions in Actual Exam: | 90 |
| See Expected Questions: | Hortonworks HDPCD Expected Questions in Actual Exam |
Hortonworks HDPCD Exam Topics :
| Section | Objectives |
|---|---|
| Data Ingestion | The Data Ingestion section involves various tasks related to loading and managing data in Hadoop. Candidates need to be proficient in using the Hadoop file system shell to input a local file into HDFS (Hadoop Distributed File System) and create new directories within HDFS. They should also be familiar with Sqoop, a tool used for transferring data between relational databases, and Hadoop. This includes importing data from a relational database table into HDFS, as well as importing the results of SQL queries into HDFS. Additionally, candidates should know how to import tables from relational databases into Hive tables, either new or existing, and how to insert or update data from HDFS into relational database tables. Understanding how to start a Flume agent using a given configuration file and configuring a Flume memory channel with a specified capacity are also essential skills in this section. |
| Data Transformation | For Data Transformation, candidates should be able to write and execute Pig scripts, utilizing Pig Latin for data manipulation. This includes loading data into a Pig relation both with and without specifying a schema. They should also be able to load data from Hive tables into Pig relations and use Pig to transform data into various specified formats. Furthermore, candidates must be able to transform data to match schemas defined in Hive, ensuring compatibility between the Pig and Hive environments. |
| Data Analysis | In the Data Analysis section, candidates need to demonstrate their ability to write and execute Hive queries effectively. They should be familiar with defining various types of Hive tables, including managed tables, external tables, partitioned tables, and bucketed tables. The ability to define a Hive table from a SELECT query is also required. Additionally, candidates should understand how to define Hive tables that use the ORCFile format and how to create new ORCFile tables from data in existing non-ORCFile Hive tables. Specifying the storage format of Hive tables is another critical skill for this section. |
| Official Information | https://hortonworks.com/wp-content/uploads/2015/02/DataSheet_HDPCD_2.21.pdf |
Updates in the Hortonworks HDPCD Exam Topics:
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