Hortonworks Apache-Hadoop-Developer dumps - in .pdf

Apache-Hadoop-Developer pdf
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 12, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 12, 2026
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Apache-Hadoop-Developer Testing Engine
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 12, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Hadoop Fundamentals & Architecture20%- MapReduce concepts and job lifecycle
- HDFS operations and file management
- YARN architecture and job execution
Apache Pig Development30%- Debug and tune Pig jobs
- Data transformation, filtering, joining, and aggregation
- Write and optimize Pig Latin scripts
Apache Hive Development25%- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
- Create and manage Hive tables, partitions, and buckets
Data Ingestion25%- Load data into HDFS from external sources
- Ingest streaming data with Flume
- Import/export data using Sqoop

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

Question #1

You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?

  • A. Sample the weblogs from the web servers, copying them into Hadoop using curl.
  • B. Ingest the server web logs into HDFS using Flume.
  • C. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
  • D. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
  • E. Channel these clickstreams inot Hadoop using Hadoop Streaming.
Answer: B
Question #2

Which one of the following statements describes the relationship between the ResourceManager and the ApplicationMaster?

  • A. The ApplicationMaster starts a single instance of the ResourceManager
  • B. The ApplicationMaster requests resources from the ResourceManager
  • C. The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
  • D. The ApplicationMaster starts an instance of the ResourceManager within each Container
Answer: B
Question #3

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 DistributedCache and read the data into memory in the configure method of the mapper.
  • C. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
  • D. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
Answer: C
Question #4

Given a directory of files with the following structure: line number, tab character, string:
Example:
1abialkjfjkaoasdfjksdlkjhqweroij
2kadfjhuwqounahagtnbvaswslmnbfgy
3kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete the line: conf.setInputFormat (____.class) ; ?

  • A. BDBInputFormat
  • B. SequenceFileAsTextInputFormat
  • C. KeyValueFileInputFormat
  • D. SequenceFileInputFormat
Answer: C

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Question #5

Which YARN component is responsible for monitoring the success or failure of a Container?

  • A. ResourceManager
  • B. JobTracker
  • C. NodeManager
  • D. ApplicationMaster
Answer: A

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