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

HADOOP-PR000007 Exam Simulator
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Sep 16, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer)
Exam Number:HADOOP-PR000007
Available Languages:English
Real Exam Qty:44-110
Exam Duration:120 minutes
Related Certifications:Hortonworks HDP Certified Developer (HDPCD)
Exam Format:Scenario-based Questions, Multiple Choice Questions
Recommended Training:Hortonworks Training Catalog (HDP Developer Training)
Exam Registration:Hortonworks Official Site
Sample Questions:Hortonworks HADOOP-PR000007 exam simulator
Exam Way:Online proctored / testing platform (varies by provider)
Pre Condition:Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
Official Syllabus URL:https://hortonworks.com

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Data Processing with Pig- Advanced Pig processing
  • 1. User Defined Functions (UDFs)
    • 2. Joins and grouping
      - Pig Latin fundamentals
      • 1. Pig operators and transformations
        • 2. Data types and schemas
          • 3. Loading and storing data
            Hadoop Ecosystem Integration- Data ingestion and ETL workflows
            - HDFS interaction
            - MapReduce basics
            Data Warehousing with Hive- HiveQL fundamentals
            • 1. Tables, partitions, and schemas
              • 2. SELECT queries and filtering
                - Advanced Hive features
                • 1. Metastore and HCatalog usage
                  • 2. Joins and aggregations

                    Answers for Hortonworks HADOOP-PR000007 Candidates

                    120 minutes, 44-110 questions — that's your time budget. Rehearse it: the Exam4PDF online engine runs simulation tests with automatic settings, so pacing becomes trained, not lucky.

                    Files arrive first: our system emails your purchase within a minute of successful payment — unlimited installations, and 24/7 support if nothing shows up within 2 hours (check spam). Failure is covered too: take the corresponding HADOOP-PR000007 exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam for a full refund, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You can also choose a free replacement — two other products of equal value.

                    Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended. Eligibility rules change from time to time, so confirm the current requirements on the official page (official HADOOP-PR000007 exam page) before booking.

                    Book through the vendor's official channels:

                    The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) is delivered Online proctored / testing platform (varies by provider) — pick whichever arrangement fits you.

                    The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) blueprint spans 3 domains — including Data Warehousing with Hive, Data Processing with Pig, Hadoop Ecosystem Integration. The weightings are your study map: allocate hours where the points are. Every subtopic appears in the outline above.

                    Yes:

                    Training covers theory; our questions build test readiness. After any course, drill with the 110 practice questions for the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) — the analyses make every wrong answer a lesson.

                    Yes — download the free HADOOP-PR000007 demo before buying and assess the quality and reliability yourself; it's the best way to avoid wasting money on bootless material. Purchases include 365 days of free updates, renewable later at half price.

                    The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) is Hortonworks's certification exam for Hortonworks Certified Apache Hadoop 2.0 Developer, at the Professional level. Passing it demonstrates proficiency with specific technologies — a credential employers from small business to enterprise recognize. Related credentials include Hortonworks HDP Certified Developer (HDPCD).

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

                    Question #1

                    You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
                    TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
                    with the key consisting of the matching text, and the value containing the filename and byte offset.
                    Determine the difference between setting the number of reduces to one and settings the number of
                    reducers to zero.

                    • A. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
                      matching patterns are stored in a single file on HDFS.
                    • B. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
                      one reducer, instances of matching patterns are stored in multiple files on HDFS.
                    • C. There is no difference in output between the two settings.
                    • D. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
                      reducer, all instances of matching patterns are gathered together in one file on HDFS.
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #2

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

                    • A. Hive commands cannot reference an HCatalog table
                    • B. SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');
                    • C. SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
                    • D. SELECT * FROM x;
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

                    Question #3

                    Which one of the following statements is true about a Hive-managed table?

                    • A. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
                    • B. Hive dynamically defines the schema of the table based on the format of the underlying data.
                    • C. When the table is dropped, the underlying folder in HDFS is deleted.
                    • D. Records can only be added to the table using the Hive INSERT command.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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

                    Correct Answer: B  🗳️

                    Question #5

                    Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

                    • A. The default partitioner computes the hash of the key and divides that valule modulo the number of
                      reducers. The result determines the reducer assigned to process the key-value pair.
                    • B. The default partitioner computes the hash of the value and takes the mod of that value with the number
                      of reducers. The result determines the reducer assigned to process the key-value pair.
                    • C. The default partitioner assigns key-values pairs to reduces based on an internal random number
                      generator.
                    • D. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
                      in turn. This ensures an event partition of the key space.
                    • E. The default partitioner computes the hash of the key. Hash values between specific ranges are
                      associated with different buckets, and each bucket is assigned to a specific reducer.
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

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