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

HADOOP-PR000007 real exams

Exam Code: HADOOP-PR000007

Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

Updated: Aug 28, 2026

Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Pig Development- Pig data types and UDFs
- Pig Latin scripting
Hive Development- Hive optimization and execution
- Hive table definitions and queries
Hadoop Core Concepts- HDFS architecture and commands
- YARN and MapReduce fundamentals
Hadoop Ecosystem Tools- Sqoop and data ingestion
- Workflow and processing frameworks

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(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. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
B. Channel these clickstreams inot Hadoop using Hadoop Streaming.
C. Sample the weblogs from the web servers, copying them into Hadoop using curl.
D. Ingest the server web logs into HDFS using Flume.
E. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.


Question 2

Which one of the following Hive commands uses an HCatalog table named x?

A. SELECT * FROM x;
B. SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
C. Hive commands cannot reference an HCatalog table
D. SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');


Question 3

Given the following Hive commands:

Which one of the following statements Is true?

A. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
B. The file mydata.txt does not move from Its current location in HDFS
C. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
D. The file mydata.txt is copied into Hive's underlying relational database 0.


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


Question 5

You wrote a map function that throws a runtime exception when it encounters a control character in input
data. The input supplied to your mapper contains twelve such characters totals, spread across five file
splits. The first four file splits each have two control characters and the last split has four control
characters.
Indentify the number of failed task attempts you can expect when you run the job with
mapred.max.map.attempts set to 4:

A. You will have forty-eight failed task attempts
B. You will have five failed task attempts
C. You will have twenty failed task attempts
D. You will have seventeen failed task attempts
E. You will have twelve failed task attempts


Solutions:

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

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