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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Hadoop Ecosystem Fundamentals- HDFS Architecture and Data Storage Concepts
  • 1. NameNode and DataNode roles
    • 2. Data replication and fault tolerance
      - YARN and Resource Management
      • 1. Cluster resource allocation
        • 2. Resource scheduling concepts
          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
                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

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

                          Question 1

                          Which best describes what the map method accepts and emits?

                          A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.
                          B. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
                          C. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
                          D. It accepts a single key-value pairs as input and can emit any number of key-value pair as output, including zero.


                          Question 2

                          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 location of the InsputSplit to be processed in relation to the location of the 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 amount of free disk space on the TaskTracker node.


                          Question 3

                          Given the following Hive command:

                          Which one of the following statements is true?

                          A. The files in the mydata folder are copied into Hive's underlying relational database
                          B. The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
                          C. The files in the mydata folder do not move from their current location In HDFS
                          D. The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house


                          Question 4

                          MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
                          daemons? Select two.

                          A. Job scheduling/monitoring
                          B. Job coordination between the ResourceManager and NodeManager
                          C. Managing tasks
                          D. MapReduce metric reporting
                          E. Resource management
                          F. Launching tasks
                          G. Managing file system metadata
                          H. Heath states checks (heartbeats)


                          Question 5

                          Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

                          A. NameNode
                          B. JobTracker
                          C. TaskTracker
                          D. Secondary NameNode
                          E. DataNode


                          Solutions:

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

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