HDPCD - Study Material - Hortonworks Data Platform Certified Developer

The Hortonworks HDPCD exam is a certification exam designed to test an individual's knowledge of Apache Hadoop and the Hortonworks Data Platform. It is an entry-level certification to demonstrate proficiency in the core set of skills required to install, configure, and manage a Hortonworks Data Platform cluster.

The Hortonworks HDPCD exam is a 90-minute exam consisting of 60 multiple-choice questions.

The exact number of questions in the Hortonworks HDPCD exam is not known, as the exam is adaptive and the number of questions can vary from one test taker to the next.

The passing score for the Hortonworks HDPCD exam is 70%.

The required competency level for the Hortonworks HDPCD exam is intermediate. Candidates should have a basic understanding of Hadoop and the Hortonworks Data Platform (HDP) and be familiar with installing, configuring, and managing the platform. They should also have experience in deploying and managing applications on the HDP.

The Hortonworks HDPCD exam consists of 60 multiple-choice questions.

The Hortonworks HDPCD exam can be taken either online or in a testing center. For the online exam, you will need to register and purchase the exam through the Hortonworks website. Once you have completed the registration process, you will be provided with an exam voucher and instructions on how to access the exam. For the testing center exam, you will need to contact a Pearson VUE testing center and register for the exam. You will then be given an exam voucher and instructions on how to access the exam.

The Hortonworks HDPCD exam is offered in English.

The Hortonworks HDPCD exam is offered for a fee of $250 USD.

The target audience of the Hortonworks HDPCD exam is individuals who have at least six months of experience working in Hadoop-related technologies such as Apache Hive, Pig, Sqoop, Flume, HDFS, and MapReduce. Additionally, the exam is designed for individuals looking to become certified as a Hortonworks Data Platform Certified Developer (HDPCD).

The average salary for someone with Hortonworks HDPCD certification varies depending on the job role and experience level. However, according to PayScale, the average salary for someone with this certification is $115,000 per year.

Hortonworks provides an online proctored exam for the HDPCD certification. The exam is administered by Pearson VUE, a global leader in computer-based testing.

The recommended experience for taking the Hortonworks HDPCD exam is to have a minimum of six months of hands-on experience administering a Hadoop cluster. This experience should include tasks such as setting up a Hadoop cluster, configuring services, managing data, and performing data analysis. It is also recommended to have a basic understanding of Linux, Apache Hadoop, and related technologies.

The prerequisites for the Hortonworks HDPCD exam include having a basic understanding of the Hadoop ecosystem, a working knowledge of the Linux operating system, and experience with the Apache Hadoop platform. Additionally, it is recommended that you have prior experience with the Hortonworks Data Platform (HDP) and the associated components.

The official website for Hortonworks HDPCD exam information is https://hortonworks.com/services/certification/. There is no specific information about the expected retirement date of the exam.

The certification roadmap for the Hortonworks HDPCD exam is as follows: 1. Complete the HDPCD: Apache Hadoop Developer course. 2. Pass the HDPCD: Apache Hadoop Developer exam. 3. Complete the HDPCD: Apache Hadoop Administrator course. 4. Pass the HDPCD: Apache Hadoop Administrator exam. 5. Complete the HDPCD: Apache Hadoop Developer Advanced course. 6. Pass the HDPCD: Apache Hadoop Developer Advanced exam. 7. Complete the HDPCD: Apache Hadoop Administrator Advanced course. 8. Pass the HDPCD: Apache Hadoop Administrator Advanced exam. 9. Complete the HDPCD: Apache Hadoop Security course. 10. Pass the HDPCD: Apache Hadoop Security exam.

The Hortonworks HDPCD exam covers the following topics: 1. HDFS: HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. It is a distributed, fault-tolerant filesystem that is designed to store large amounts of data reliably and efficiently. 2. YARN: YARN (Yet Another Resource Negotiator) is the resource management system of Hadoop. It is responsible for scheduling applications and allocating resources to them. 3. MapReduce: MapReduce is the programming model used to process data stored in HDFS. It enables applications to process massive datasets in a distributed and parallel fashion. 4. Hive: Hive is a data warehousing system built on top of Hadoop. It enables users to query data stored in HDFS using a SQL-like language called HiveQL. 5. Pig: Pig is a high-

1. What is the purpose of YARN in Hadoop? 2. How does HDFS store data? 3. What is the difference between Pig and Hive? 4. What is the purpose of Ambari? 5. What is the command to list the files in HDFS? 6. What is the purpose of the Sqoop tool? 7. What is the purpose of the Oozie workflow scheduler? 8. How does HBase store data? 9. What is the purpose of the HBase shell? 10. What is the command to start the HBase shell?

The difficulty level of the Hortonworks HDPCD exam is considered to be moderate.