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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 14, 2026
  • Q & A: 110 Questions and Answers
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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 14, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

Question #1

When is the earliest point at which the reduce method of a given Reducer can be called?

  • A. Not until all mappers have finished processing all records.
  • B. It depends on the InputFormat used for the job.
  • C. As soon as at least one mapper has finished processing its input split.
  • D. As soon as a mapper has emitted at least one record.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #2

You want to Ingest log files Into HDFS, which tool would you use?

  • A. Sqoop
  • B. HCatalog
  • C. Flume
  • D. Ambari
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

  • A. You will longer be able to take advantage of a Combiner.
  • B. There are no concerns with this approach. It is always advisable to use multiple reduces.
  • C. By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
  • D. You will not be able to compress the intermediate data.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).

Question #4

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

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

Correct Answer: A  🗳️

Question #5

Which one of the following is NOT a valid Oozie action?

  • A. mapreduce
  • B. hive
  • C. pig
  • D. mrunit
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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