Hortonworks HADOOP-PR000007 dumps - in .pdf

HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Aug 09, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Aug 09, 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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Hortonworks HADOOP-PR000007 dumps - Testing Engine

HADOOP-PR000007 Testing Engine
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Aug 09, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Hive Development- Hive table definitions and queries
- Hive optimization and execution
Topic 2: Hadoop Ecosystem Tools- Sqoop and data ingestion
- Workflow and processing frameworks
Topic 3: Pig Development- Pig data types and UDFs
- Pig Latin scripting
Topic 4: Hadoop Core Concepts- YARN and MapReduce fundamentals
- HDFS architecture and commands

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

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

A) ApplicationMaster
B) ResourceManager
C) JobTracker
D) NodeManager


2. Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the
mapper and/or the reducer?

A) mapred
B) Oozie
C) Flume
D) Sqoop
E) Hadoop Streaming


3. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
B) One final key-value pair per value associated with the key; no restrictions on the type.
C) One final key-value pair per key; no restrictions on the type.
D) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
E) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.


4. Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int,
zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?

A) STORE A INTO 'myoutput' USING PigStorage(',');
B) DUMP B using PigStorage('myoutput');
C) STORE B INTO 'myoutput';
D) DUMP B INTO 'myoutput';


5. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?

A) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
B) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.
C) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
D) The values are in sorted order.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: E
Question # 3
Answer: E
Question # 4
Answer: C
Question # 5
Answer: B

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