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

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 09, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Hadoop Fundamentals & HDFS20%- Hadoop 2.0 architecture & YARN
- HDFS file operations, permissions, and data management
Topic 2: Apache Pig Development40%- Integration with HCatalog and Hive
- Pig Latin syntax, data loading, and storage
- Data transformation, filtering, grouping, and joining
- User-defined functions (UDFs) and optimization
Topic 3: Apache Hive Development35%- Performance tuning and indexing
- Hive architecture, metastore, and table management
- HiveQL queries, joins, aggregations, and partitioning
- Data types, serialization, and file formats
Topic 4: Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

Question 1

To use a lava user-defined function (UDF) with Pig what must you do?

A. Pass arguments to the constructor of UDFs implementation class
B. Register the JAR file containing the UDF
C. Define an alias to shorten the function name
D. Put the JAR file into the user's home folder in HDFS


Question 2

Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A. A new table named mytable is created, and the contents of myothertable are copied into mytable
B. The contents of myothertable are appended to mytable
C. The statement is not a valid Hive command
D. Any existing data in mytable will be overwritten


Question 3

Which of the following tool was designed to import data from a relational database into HDFS?

A. Flume
B. Sqoop
C. HCatalog
D. Ambari


Question 4

In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?

A. Write a custom FileInputFormat and override the method isSplitable to always return false.
B. Set the number of mappers equal to the number of input files you want to process.
C. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
D. Increase the parameter that controls minimum split size in the job configuration.


Question 5

What is a SequenceFile?

A. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be
the same type. Each value must be same type.
B. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
C. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
D. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
sorted order.


Solutions:

Question 1
Answer: B
Question 2
Answer: D
Question 3
Answer: B
Question 4
Answer: A
Question 5
Answer: A

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