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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: 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. Resource scheduling concepts
        • 2. Cluster resource allocation
          Topic 2: 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
                Topic 3: Data Processing and Integration- Data ingestion and ETL workflows
                • 1. Batch processing concepts
                  - Hadoop data formats
                  • 1. Text, SequenceFile, and columnar formats
                    Topic 4: Apache Hive- Hive architecture
                    • 1. Metastore and query execution engine
                      - HiveQL Query Language
                      • 1. Schema definition and tables
                        • 2. SELECT, JOIN, and aggregation queries

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

                          1. What does Pig provide to the overall Hadoop solution?

                          A) Database table and storage management services
                          B) C++ interface to MapReduce and data warehouse infrastructure
                          C) Legacy language Integration with MapReduce framework
                          D) Simple scripting language for writing MapReduce programs


                          2. What data does a Reducer reduce method process?

                          A) All data produced by a single mapper.
                          B) All data for a given key, regardless of which mapper(s) produced it.
                          C) All data for a given value, regardless of which mapper(s) produced it.
                          D) All the data in a single input file.


                          3. Indentify the utility that allows you to create and run MapReduce jobs with any executable
                          or script as the mapper and/or the reducer?

                          A) Flume
                          B) Sqoop
                          C) mapred
                          D) Oozie
                          E) Hadoop Streaming


                          4. Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?

                          A) The ApplicationMaster starts the NodeManager outside of a Container
                          B) The NodeManager creates an instance of the ApplicationMaster
                          C) The NodeManager requests resources from the ApplicationMaster
                          D) The ApplicationMaster starts the NodeManager in a Container


                          5. On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
                          What determines how the JobTracker assigns each map task to a TaskTracker?

                          A) The amount of free disk space on the TaskTracker node.
                          B) The average system load on the TaskTracker node over the past fifteen (15) minutes.
                          C) The amount of RAM installed on the TaskTracker node.
                          D) The number and speed of CPU cores on the TaskTracker node.
                          E) The location of the InsputSplit to be processed in relation to the location of the node.


                          Solutions:

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

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