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: Sep 17, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99

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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 17, 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: Sep 17, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
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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: Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Topic 3: 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 4: Apache Hive Development35%- Hive architecture, metastore, and table management
- Performance tuning and indexing
- Data types, serialization, and file formats
- HiveQL queries, joins, aggregations, and partitioning

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

Question #1

Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?

  • A. The ApplicationMaster requests resources from the ResourceManager
  • B. The ApplicationMaster starts a single instance of the ResourceManager
  • C. The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
  • D. The ApplicationMaster starts an instance of the ResourceManager within each Container
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

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

  • A. The statement is not a valid Hive command
  • B. Any existing data in mytable will be overwritten
  • C. A new table named mytable is created, and the contents of myothertable are copied into mytable
  • D. The contents of myothertable are appended to mytable
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

You have the following key-value pairs as output from your Map task:

  • A. One
  • B. Five
  • C. Three
  • D. Four
  • E. Two
  • F. Six
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

You are developing a MapReduce job for sales reporting. The mapper will process input keys
representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

  • A. The key and value types specified in the JobConf.setMapInputKeyClass and
    JobConf.setMapInputValuesClass methods
  • B. The mapper-specification.xml file submitted with the job determine the mapper's input key and value
    types.
  • C. The InputFormat used by the job determines the mapper's input key and value types.
  • D. The data types specified in HADOOP_MAP_DATATYPES environment variable
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best
describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and
C?

  • A. The file can be accessed if at least one of the data nodes storing the file is available.
  • B. The file will be marked as corrupted if data node B fails during the creation of the file.
  • C. Each data node locks the local file to prohibit concurrent readers and writers of the file.
  • D. Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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