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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
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
          Apache Hive- HiveQL Query Language
          • 1. Schema definition and tables
            • 2. SELECT, JOIN, and aggregation queries
              - Hive architecture
              • 1. Metastore and query execution engine
                Data Processing and Integration- Hadoop data formats
                • 1. Text, SequenceFile, and columnar formats
                  - Data ingestion and ETL workflows
                  • 1. Batch processing 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

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

                          Consider the following two relations, A and B.

                          Which Pig statement combines A by its first field and B by its second field?

                          • A. C = JOIN A by al, B by b2;
                          • B. C = DOIN B BY a1, A by b2;
                          • C. C = JOIN A SO, B $1;
                          • D. C = JOIN A a1, B b2;
                          Answer: A

                          Which describes how a client reads a file from HDFS?

                          • A. The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.
                          • B. The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).
                          • C. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
                          • D. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
                          Answer: B

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

                          • A. HCatalog
                          • B. Flume
                          • C. Ambari
                          • D. Sqoop
                          Answer: D

                          A NameNode in Hadoop 2.0 manages ______________.

                          • A. An arbitrary number of namespaces
                          • B. Two namespaces: an active namespace and a backup namespace
                          • C. A single namespace
                          • D. No namespaces
                          Answer: C

                          Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

                          • A. ApplicationMasterService
                          • B. TaskTracker
                          • C. ApplicationMaster
                          • D. ResourceManager
                          • E. JobTracker
                          • F. NodeManager
                          Answer: F

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