Apache-Hadoop-Developer Exam Dumps - Hadoop 2.0 Certification exam for Pig and Hive Developer

Introduction of Hortonworks Apache-Hadoop-Developer Exam!

The Hortonworks Apache Hadoop Developer Certification Exam is a comprehensive exam that tests a candidate's knowledge and skills in developing applications using Apache Hadoop. The exam covers topics such as Hadoop architecture, HDFS, MapReduce, YARN, Pig, Hive, HBase, Sqoop, Flume, Oozie, and more.

What is the Duration of Hortonworks Apache-Hadoop-Developer Exam?

The duration of the Hortonworks Apache-Hadoop-Developer Exam is 2 hours.

What are the Number of Questions Asked in Hortonworks Apache-Hadoop-Developer Exam?

There are a total of 60 questions on the Hortonworks Apache-Hadoop-Developer Exam.

What is the Passing Score for Hortonworks Apache-Hadoop-Developer Exam?

The passing score required for the Hortonworks Apache-Hadoop-Developer Exam is 70%.

What is the Competency Level required for Hortonworks Apache-Hadoop-Developer Exam?

The Apache-Hadoop-Developer exam requires a basic understanding of the Hadoop ecosystem and its components, as well as a working knowledge of the Apache Hadoop framework. Candidates should have a good understanding of the core components of the Hadoop platform, such as HDFS, MapReduce, YARN, and Hive. They should also be familiar with the various tools and technologies used to manage and analyze data in the Hadoop environment, such as Pig, Sqoop, Flume, and Oozie. Additionally, candidates should have a basic understanding of the Hadoop security model and be able to configure and manage security in the Hadoop environment.

What is the Question Format of Hortonworks Apache-Hadoop-Developer Exam?

The Hortonworks Apache-Hadoop-Developer exam consists of multiple-choice, drag-and-drop, and fill-in-the-blank questions.

How Can You Take Hortonworks Apache-Hadoop-Developer Exam?

The Hortonworks Apache-Hadoop-Developer exam is available in both online and in-person testing formats. The online version of the exam can be taken from home or any other location with an internet connection. The in-person version of the exam is offered at select Pearson VUE testing centers. To take the exam, candidates must first register with Pearson VUE and purchase a voucher to take the exam. Once the voucher is purchased, an exam can be scheduled at a Pearson VUE testing center. The exam consists of multiple-choice questions and candidates have 90 minutes to complete it.

What Language Hortonworks Apache-Hadoop-Developer Exam is Offered?

The Hortonworks Apache-Hadoop-Developer Exam is offered in English.

What is the Cost of Hortonworks Apache-Hadoop-Developer Exam?

The cost of the Hortonworks Apache-Hadoop-Developer exam is $250 USD.

What is the Target Audience of Hortonworks Apache-Hadoop-Developer Exam?

The target audience for the Hortonworks Apache-Hadoop-Developer Exam is software engineers, developers, and administrators who have experience with Apache Hadoop and want to validate their skills and demonstrate their knowledge of the technology.

What is the Average Salary of Hortonworks Apache-Hadoop-Developer Certified in the Market?

The average salary for a Hortonworks Apache-Hadoop-Developer certified professional ranges from $110,000–$150,000 per year.

Who are the Testing Providers of Hortonworks Apache-Hadoop-Developer Exam?

There are a variety of testing centers that offer the Hortonworks Apache-Hadoop-Developer exam, such as Pearson VUE, Kryterion, and Prometric.

What is the Recommended Experience for Hortonworks Apache-Hadoop-Developer Exam?

The recommended experience for the Hortonworks Apache-Hadoop-Developer Exam includes experience developing applications with Apache Hadoop and associated technologies, such as MapReduce, Hive, Pig, HBase, Spark, Flume, Sqoop, and Oozie. Additionally, candidates should have a strong knowledge of the Hadoop Distributed File System (HDFS), the YARN resource management system, and the Hadoop ecosystem. Familiarity with Linux/Unix operating systems and general cloud computing concepts is also recommended.

What are the Prerequisites of Hortonworks Apache-Hadoop-Developer Exam?

The Prerequisite for Hortonworks Apache-Hadoop-Developer Exam is to have a basic understanding of Apache Hadoop and related technologies. It is recommended that the applicant have a minimum of 6 months of hands-on experience working with Hadoop components such as HDFS, MapReduce, Pig, Hive, HBase, etc. Additionally, the applicant should have knowledge of the Hadoop ecosystem and its core components, including the Linux operating system, networking, distributed computing fundamentals, and basic scripting.

What is the Expected Retirement Date of Hortonworks Apache-Hadoop-Developer Exam?

The official website for Hortonworks Apache-Hadoop-Developer exam is https://hortonworks.com/certification/exam-overview/. The expected retirement date of the exam is not available on the website.

What is the Difficulty Level of Hortonworks Apache-Hadoop-Developer Exam?

The difficulty level of the Hortonworks Apache-Hadoop-Developer exam is considered to be intermediate.

What is the Roadmap / Track of Hortonworks Apache-Hadoop-Developer Exam?

The Hortonworks Apache-Hadoop-Developer Exam is a certification track/roadmap for IT professionals who want to demonstrate their expertise in Apache Hadoop development. The exam is designed to test a candidate's knowledge and skills in the areas of Hadoop architecture, data management, programming, and operations. It is an intermediate-level certification that is ideal for those who have experience with Hadoop and want to demonstrate their expertise in the area. Upon successful completion of the exam, candidates will receive the Hortonworks Apache-Hadoop-Developer certification.

What are the Topics Hortonworks Apache-Hadoop-Developer Exam Covers?

The Hortonworks Apache-Hadoop-Developer exam covers the following topics:

1. Hadoop Cluster Configuration and Administration: This topic covers the configuration and administration of Hadoop clusters, including setting up the cluster, configuring the environment, and managing the cluster.

2. Data Ingestion and Processing: This topic covers the different methods of ingesting and processing data in Hadoop, including using Apache Pig, Apache Hive, and Apache Spark.

3. Data Storage and Retrieval: This topic covers the different methods of storing and retrieving data in Hadoop, including using HDFS, HBase, and Apache Cassandra.

4. Security and Monitoring: This topic covers the different security and monitoring features available in Hadoop, including authentication, authorization, and logging.

5. Troubleshooting and Debugging: This topic covers the different methods of troubleshooting and debugging the Hadoop environment, including using the

What are the Sample Questions of Hortonworks Apache-Hadoop-Developer Exam?

1. What are the components of a Hadoop cluster?
2. What is the purpose of the NameNode in a Hadoop cluster?
3. What are the different types of data storage available in Hadoop?
4. What is the purpose of the JobTracker in a Hadoop cluster?
5. How does HDFS replicate data for fault tolerance?
6. What is the difference between MapReduce and YARN?
7. How does a MapReduce job run on a Hadoop cluster?
8. What are the different types of data formats supported by Hadoop?
9. What is the purpose of the Hive query language?
10. What are the different types of data processing available in Hadoop?