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

Apache-Hadoop-Developer Exam Simulator
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 01, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

                          1. A combiner reduces:

                          A) The amount of intermediate data that must be transferred between the mapper and reducer.
                          B) The number of output files a reducer must produce.
                          C) The number of input files a mapper must process.
                          D) The number of values across different keys in the iterator supplied to a single reduce method call.


                          2. You need to perform statistical analysis in your MapReduce job and would like to call methods in the Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is the best way to make this library available to your MapReducer job at runtime?

                          A) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and then set the HTTP_JAR_URL environment variable to its location.
                          B) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
                          C) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
                          D) Package your code and the Apache Commands Math library into a zip file named JobJar.zip


                          3. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
                          The Standby NameNode:

                          A) Runs on the same machine and shares the memory of the active NameNode.
                          B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
                          C) Processes all client requests and block reports from the appropriate DataNodes.
                          D) Receives the same block reports as the active NameNode.


                          4. Review the following data and Pig code:

                          What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on B?

                          A) B = FILTER A BY (zip = = '95102' AND gender = = M");
                          B) B = JOIN A BY (gender = = 'M' AND zip = = '95102');
                          C) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
                          D) B= GROUP A BY (zip = = '95102' AND gender = = 'M');


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

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


                          Solutions:

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

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