Hortonworks HADOOP-PR000007 Exam Questions : 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&As: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

Question #1

Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

  • A. The output of each reducer is only the age column
  • B. The output is guaranteed to be a single file with all the data sorted by age
  • C. Each reducer generates a file sorted by age
  • D. The SORT BY command causes only one reducer to be used
Answer: C
Question #2

Which one of the following statements is FALSE regarding the communication between DataNodes and a
federation of NameNodes in Hadoop 2.0?

  • A. DataNodes send periodic heartbeats to all the NameNodes.
  • B. Each DataNode registers with all the NameNodes.
  • C. Each DataNode receives commands from one designated master NameNode.
  • D. DataNodes send periodic block reports to all the NameNodes.
Answer: C
Question #3

Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

  • A. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
    inputdata table.
  • B. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
    the inputdata table.
  • C. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
    data A1 table.
  • D. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
    of the inputdata table.
Answer: D
Question #4

You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you've decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

  • A. hadoop MyDriver mapred.job.name=Example input output
  • B. hadoop MyDrive -D mapred.job.name=Example input output
  • C. hadoop "mapred.job.name=Example" MyDriver input output
  • D. hadoop setproperty mapred.job.name=Example MyDriver input output
  • E. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
Answer: B
Question #5

To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?

  • A. Place the data file in the DistributedCache and read the data into memory in the configure method of
    the mapper.
  • B. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
    method of the mapper.
  • C. Place the data file in the DistributedCache and read the data into memory in the map method of the
    mapper.
  • D. Place the data file in the DataCache and read the data into memory in the configure method of the
    mapper.
Answer: D

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