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Hortonworks Apache-Hadoop-Developer Braindumps - in .pdf Free Demo

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Sep 24, 2026
  • Q & A: 110 Questions and Answers
  • Convenient, easy to study. Printable Hortonworks Apache-Hadoop-Developer PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $49.98    

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Sep 24, 2026
  • Q & A: 110 Questions and Answers
  • Uses the World Class Apache-Hadoop-Developer Testing Engine. Free updates for one year. Real Apache-Hadoop-Developer exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Data Ingestion- Import data into Hadoop
  • 1. Use Sqoop for relational data import
  • 2. Use Flume for log and event data ingestion
Data Analysis with Hive- Hive query development
  • 1. Create and manage databases and tables
  • 2. Write queries, joins, aggregations and partitions
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question #1

In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

  • A. Processes all client requests and block reports from the appropriate DataNodes.
  • B. Communicates directly with the active NameNode to maintain the state of the active NameNode.
  • C. Receives the same block reports as the active NameNode.
  • D. Runs on the same machine and shares the memory of the active NameNode.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?

  • A. Sqoop import
  • B. Ingest with Flume agents
  • C. Hive LOAD DATA command
  • D. Ingest with Hadoop Streaming
  • E. Pig LOAD command
  • F. HDFS command
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

Which HDFS command displays the contents of the file x in the user's HDFS home directory?

  • A. hadoop fs -cp x
  • B. hadoop fs -Is x
  • C. hadoop fs -cat x
  • D. hdfs fs -get x
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #4

You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

  • A. CSV
  • B. HTML
  • C. XML
  • D. SequenceFiles
  • E. Avro
  • F. JSON
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #5

To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

  • A. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
  • B. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
  • C. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
  • D. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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