Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) : HADOOP-PR000007

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Oct 03, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Apache Pig Development40%- Data transformation, filtering, grouping, and joining
- Integration with HCatalog and Hive
- Pig Latin syntax, data loading, and storage
- User-defined functions (UDFs) and optimization
Hadoop Fundamentals & HDFS20%- HDFS file operations, permissions, and data management
- Hadoop 2.0 architecture & YARN
Apache Hive Development35%- Performance tuning and indexing
- HiveQL queries, joins, aggregations, and partitioning
- Data types, serialization, and file formats
- Hive architecture, metastore, and table management

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

Question #1

Which one of the following classes would a Pig command use to store data in a table defined in
HCatalog?

  • A. No special class is needed for a Pig script to store data in an HCatalog table
  • B. org.apache.hcatalog.pig.HCatStorer
  • C. org.apache.hcatalog.pig.HCatOutputFormat
  • D. Pig scripts cannot use an HCatalog table
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Correct Answer: C  🗳️

Question #3

Which describes how a client reads a file from HDFS?

  • A. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
    that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
    from the NameNode to the client.
  • B. The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
    to the client. The client reads the data directory off the DataNode(s).
  • C. The client contacts the NameNode for the block location(s). The NameNode then queries the
    DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
    the client to the DataNode that holds the requested data block(s). The client then reads the data directly
    off the DataNode.
  • D. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
    directly to the client. The client reads the data directly off the DataNode.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?

  • A. m+n (i.e., m plus n)
  • B. n
  • C. mn (i.e., m to the power of n)
  • D. m
  • E. mXn (i.e., m multiplied by n)
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Question #5

Review the following data and Pig code:

What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on
B?

  • A. B = JOIN A BY (gender = = 'M' AND zip = = '95102');
  • B. B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
  • C. B = FILTER A BY (zip = = '95102' AND gender = = M");
  • D. B= GROUP A BY (zip = = '95102' AND gender = = 'M');
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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