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

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Oct 14, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
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. Joins and aggregations
        • 2. Metastore and HCatalog usage
          Data Processing with Pig- Pig Latin fundamentals
          • 1. Data types and schemas
            • 2. Pig operators and transformations
              • 3. Loading and storing data
                - Advanced Pig processing
                • 1. User Defined Functions (UDFs)
                  • 2. Joins and grouping

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

                    Question #1

                    Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

                    • A. Accepts only data that has a key/value pair structure
                    • B. Accepts data whether it has metadata or not
                    • C. Accepts tab-delimited text data only
                    • D. Accepts any data: structured or unstructured
                    • E. Accepts only data that is defined by metadata tables stored in a database
                    Reveal Solution  Discussion  0

                    Correct Answer: B,D  🗳️

                    Question #2

                    Workflows expressed in Oozie can contain:

                    • A. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
                      be combined with forks and path joins.
                    • B. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
                    • C. Sequences of MapReduce and Pig. These sequences can be combined with other actions including
                      forks, decision points, and path joins.
                    • D. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
                      exception handlers but no forks.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #3

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

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

                    Correct Answer: A  🗳️

                    Question #4

                    Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?

                    • A. hadoop fs -put foo LocalFoo
                    • B. hadoop fs -Is foo
                    • C. hadoop -cp foo LocalFoo
                    • D. hadoop fs -get foo LocalFoo
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #5

                    Which describes how a client reads a file from HDFS?

                    • A. 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.
                    • 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 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).
                    • D. 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.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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