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If you are planning to take the Hortonworks HADOOP-PR000007 Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam, then you have come to the right place. This exam is designed to test your knowledge of Hadoop, Pig and Hive, and your ability to use these technologies to solve real-world problems. Passing this exam is a great way to demonstrate your expertise in these areas and gain recognition in the industry as a skilled Hadoop developer.
Exam Objectives:
- Understand the Hadoop Distributed File System (HDFS)
- Understand MapReduce and its characteristics
- Understand the fundamentals of Pig
- Understand the fundamentals of Hive
- Use Pig to transform and analyze data
- Use Hive to query and analyze data
- Use HCatalog with Pig and Hive
- Understand best practices for developing Hadoop applications
The exam consists of 60 multiple-choice questions and you have 120 minutes to complete it. The passing score for this exam is 70%. The exam fee is $250 and it is delivered online through a proctored exam.
Exam Details:
- Exam Cost: $250
- Passing Mark: 70%
- Time: 120 minutes
- Delivery Method: Online proctored exam
- Format: Multiple-choice questions
This exam is intended for individuals who want to demonstrate their expertise in Hadoop, Pig, and Hive development. To take this exam, you should have a good understanding of Hadoop, Pig, and Hive and their related technologies. You should also have experience in developing Hadoop applications using Pig and Hive.
There are no formal prerequisites for taking this exam, but it is recommended that you have some experience with Hadoop, Pig, and Hive. You can also take a training course from Hortonworks or read the recommended books to prepare for this exam.
Related Books:
- Hadoop: The Definitive Guide by Tom White
- Programming Pig by Alan Gates
- Hadoop Operations by Eric Sammer
- Professional Hadoop Solutions by Boris Lublinsky and Kevin T. Smith
- Hadoop in Practice by Alex Holmes
These books can help you prepare for the HADOOP-PR000007 exam by providing in-depth coverage of Hadoop, Pig, and Hive development. They cover topics such as Hadoop architecture, Pig Latin scripting, HiveQL, and best practices for developing Hadoop applications.
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