Hortonworks HADOOP-PR000007 Q&A - in .pdf

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Nov 06, 2026
  • Q & A: 110 Questions and Answers
  • Printable Hortonworks HADOOP-PR000007 PDF Format. It is an electronic file format regardless of the operating system platform.
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Hortonworks HADOOP-PR000007 Q&A - Testing Engine

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Q & A: 110 Questions and Answers
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About Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) - HADOOP-PR000007 Exam

Promotion and growth follow demonstrated skill, and demonstrated skill starts with preparation. CertkingdomPDF's HADOOP-PR000007 question bank builds it methodically: 110 practice questions covering the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) objectives, every answer expert-verified.

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
Related Certifications:Hortonworks HDP Certified Developer (HDPCD)
Exam Duration:120 minutes
Real Exam Qty:44-110
Exam Format:Scenario-based Questions, Multiple Choice Questions
Available Languages:English
Recommended Training:Hortonworks Training Catalog (HDP Developer Training)
Exam Registration:Hortonworks Official Site
Sample Questions:Free Download HADOOP-PR000007 Actual tests
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
Topic 1: Hadoop Ecosystem Integration- HDFS interaction
- MapReduce basics
- Data ingestion and ETL workflows
Topic 2: Data Processing with Pig- Pig Latin fundamentals
  • 1. Loading and storing data
    • 2. Data types and schemas
      • 3. Pig operators and transformations
        - Advanced Pig processing
        • 1. Joins and grouping
          • 2. User Defined Functions (UDFs)
            Topic 3: Data Warehousing with Hive- Advanced Hive features
            • 1. Joins and aggregations
              • 2. Metastore and HCatalog usage
                - HiveQL fundamentals
                • 1. Tables, partitions, and schemas
                  • 2. SELECT queries and filtering

                    Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Questions, Answered Carefully

                    Per the latest exam information, the HADOOP-PR000007 exam presents 44-110 questions in 120 minutes minutes. Knowing the format precisely removes one major source of exam-day anxiety.

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                    Hortonworks recommends the following official training resources:

                    Choose a course that matches your starting point, then reinforce it with steady question practice.

                    The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) blueprint covers these core domains:

                    • Data Warehousing with Hive
                    • Hadoop Ecosystem Integration
                    • Data Processing with Pig

                    Hortonworks publishes these prerequisites for the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer): Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended..

                    Check the authoritative wording on the official certification page before registering.

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

                    Question #1

                    When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

                    • A. When the signature of the reduce method matches the signature of the combine method.
                    • B. Never. Combiners and reducers must be implemented separately because they serve different purposes.
                    • C. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
                    • D. When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
                    • E. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #2

                    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 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.
                    • C. 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.
                    • 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.
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

                    Question #3

                    Which HDFS command uploads a local file X into an existing HDFS directory Y?

                    • A. hadoop fs-put X Y
                    • B. hadoop scp X Y
                    • C. hadoop fs -get X Y
                    • D. hadoop fs -localPut X Y
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

                    Question #4

                    Assuming the following Hive query executes successfully:

                    Which one of the following statements describes the result set?

                    • A. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
                      data A1 table.
                    • B. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
                      of the inputdata table.
                    • C. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
                      inputdata table.
                    • D. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
                      the inputdata table.
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

                    Question #5

                    Given the following Hive command:

                    Which one of the following statements is true?

                    • A. The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
                    • B. The files in the mydata folder do not move from their current location In HDFS
                    • C. The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
                    • D. The files in the mydata folder are copied into Hive's underlying relational database
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

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