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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer : Apache-Hadoop-Developer Exam

Apache-Hadoop-Developer Exam Questions
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Jul 14, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Processing and Integration- Data ingestion and ETL workflows
  • 1. Batch processing concepts
    - Hadoop data formats
    • 1. Text, SequenceFile, and columnar formats
      Apache Hive- HiveQL Query Language
      • 1. SELECT, JOIN, and aggregation queries
        • 2. Schema definition and tables
          - Hive architecture
          • 1. Metastore and query execution engine
            Apache Pig- Pig Latin Programming
            • 1. Data loading and transformation
              • 2. Filtering, grouping, and joining data
                - Pig execution model
                • 1. MapReduce translation of Pig scripts
                  Hadoop Ecosystem Fundamentals- YARN and Resource Management
                  • 1. Resource scheduling concepts
                    • 2. Cluster resource allocation
                      - HDFS Architecture and Data Storage Concepts
                      • 1. Data replication and fault tolerance
                        • 2. NameNode and DataNode roles

                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

                          1. 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) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
                          C) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
                          D) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.


                          2. Which of the following tool was designed to import data from a relational database into HDFS?

                          A) Flume
                          B) Sqoop
                          C) HCatalog
                          D) Ambari


                          3. Which one of the following files is required in every Oozie Workflow application?

                          A) Oozie.xml
                          B) Workflow.xml
                          C) Config-default.xml
                          D) job.properties


                          4. For each intermediate key, each reducer task can emit:

                          A) One final key-value pair per value associated with the key; no restrictions on the type.
                          B) As many final key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
                          C) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
                          D) One final key-value pair per key; no restrictions on the type.
                          E) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.


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

                          A) hadoop fs -Is foo
                          B) hadoop fs -put foo LocalFoo
                          C) hadoop -cp foo LocalFoo
                          D) hadoop fs -get foo LocalFoo


                          Solutions:

                          Question # 1
                          Answer: C
                          Question # 2
                          Answer: B
                          Question # 3
                          Answer: B
                          Question # 4
                          Answer: E
                          Question # 5
                          Answer: D

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