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

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Jul 22, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
SectionObjectives
Topic 1: Apache Pig- Pig Latin Programming
  • 1. Filtering, grouping, and joining data
    • 2. Data loading and transformation
      - Pig execution model
      • 1. MapReduce translation of Pig scripts
        Topic 2: Data Processing and Integration- Data ingestion and ETL workflows
        • 1. Batch processing concepts
          - Hadoop data formats
          • 1. Text, SequenceFile, and columnar formats
            Topic 3: Hadoop Ecosystem Fundamentals- HDFS Architecture and Data Storage Concepts
            • 1. Data replication and fault tolerance
              • 2. NameNode and DataNode roles
                - YARN and Resource Management
                • 1. Cluster resource allocation
                  • 2. Resource scheduling concepts
                    Topic 4: Apache Hive- HiveQL Query Language
                    • 1. SELECT, JOIN, and aggregation queries
                      • 2. Schema definition and tables
                        - Hive architecture
                        • 1. Metastore and query execution engine
                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

                          1. What does the following WebHDFS command do?
                          Curl -1 -L "http://host:port/webhdfs/v1/foo/bar?op=OPEN"

                          A) Delete a directory /foo/bar
                          B) List a directory /foo
                          C) Make a directory /foo/bar
                          D) Read a file /foo/bar


                          2. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

                          A) Between 500 and 1000.
                          B) It depends on the number of reduces in the job.
                          C) Exactly 500.
                          D) At most 500.
                          E) At least 500.


                          3. Examine the following Hive statements:

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

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


                          4. Given the following Pig commands:

                          Which one of the following statements is true?

                          A) The severe relation is not valid
                          B) The $1 variable represents the second column of data in 'my.log'
                          C) The $1 variable represents the first column of data in 'my.log'
                          D) The grouped relation is not valid


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

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


                          Solutions:

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

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