Hortonworks HADOOP-PR000007 Valid Dump : 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 06, 2026

Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

1. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just
after this command has finished writing 200 MB of this file, what would another user see when trying to
access this life?

A) They would see the current state of the file, up to the last bit written by the command.
B) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
C) They would see the current of the file through the last completed block.
D) They would see no content until the whole file written and closed.


2. What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce

A) All data for a given value, regardless of which mapper(s) produced it.
B) All data produced by a single mapper.
C) All data for a given key, regardless of which mapper(s) produced it.
D) All the data in a single input file.


3. You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
output.collect (new Text ("Apple"), new Text ("Red") ) ;
output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
output.collect (new Text ("Cherry"), new Text ("Red") ) ;
output.collect (new Text ("Apple"), new Text ("Green") ) ;
How many times will the Reducer's reduce method be invoked?

A) 1
B) 5
C) 6
D) 3
E) 0


4. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Large-scale graph algorithms that require one-step link traversal.
C) Relational operations on large amounts of structured and semi-structured data.
D) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
E) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).


5. Which describes how a client reads a file from HDFS?

A) 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).
B) 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.
C) 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.
D) 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.


Solutions:

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

No help, Full refund!

No help, Full refund!

Actual4Exams confidently stands behind all its offerings by giving Unconditional "No help, Full refund" Guarantee. Since the time our operations started we have never seen people report failure in the Hortonworks HADOOP-PR000007 exam after using our products. With this feedback we can assure you of the benefits that you will get from our products and the high probability of clearing the HADOOP-PR000007 exam.

We still understand the effort, time, and money you will invest in preparing for your certification exam, which makes failure in the Hortonworks HADOOP-PR000007 exam really painful and disappointing. Although we cannot reduce your pain and disappointment but we can certainly share with you the financial loss.

This means that if due to any reason you are not able to pass the HADOOP-PR000007 actual exam even after using our product, we will reimburse the full amount you spent on our products. you just need to mail us your score report along with your account information to address listed below within 7 days after your unqualified certificate came out.

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