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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: 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 2: Data Processing and Integration- Hadoop data formats
        • 1. Text, SequenceFile, and columnar formats
          - Data ingestion and ETL workflows
          • 1. Batch processing concepts
            Topic 3: 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 4: 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

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

                          1. A NameNode in Hadoop 2.0 manages ______________.

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


                          2. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
                          Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

                          A) hadoop setproperty mapred.job.name=Example MyDriver input output
                          B) hadoop MyDriver mapred.job.name=Example input output
                          C) hadoop "mapred.job.name=Example" MyDriver input output
                          D) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
                          E) hadoop MyDrive -D mapred.job.name=Example input output


                          3. Given the following Pig commands:

                          Which one of the following statements is true?

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


                          4. Which one of the following classes would a Pig command use to store data in a table defined in HCatalog?

                          A) org.apache.hcatalog.pig.HCatStorer
                          B) Pig scripts cannot use an HCatalog table
                          C) org.apache.hcatalog.pig.HCatOutputFormat
                          D) No special class is needed for a Pig script to store data in an HCatalog table


                          5. You want to Ingest log files Into HDFS, which tool would you use?

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


                          Solutions:

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

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