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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: 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 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. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, IntWritable values. Which interface should your class implement?

                          A) Reducer <Text, IntWritable, Text, IntWritable>
                          B) Combiner <Text, Text, IntWritable, IntWritable>
                          C) Combiner <Text, IntWritable, Text, IntWritable>
                          D) Mapper <Text, IntWritable, Text, IntWritable>
                          E) Reducer <Text, Text, IntWritable, IntWritable>


                          2. Which process describes the lifecycle of a Mapper?

                          A) The TaskTracker spawns a new Mapper to process all records in a single input split.
                          B) The JobTracker spawns a new Mapper to process all records in a single file.
                          C) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
                          D) The TaskTracker spawns a new Mapper to process each key-value pair.


                          3. Examine the following Hive statements:

                          Assuming the statements above execute successfully, which one of the following statements is true?

                          A) The contents of File1 are parsed as comma-delimited rows and stored in a database
                          B) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
                          C) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
                          D) The file named File1 is moved to to/user/joe/x/


                          4. Workflows expressed in Oozie can contain:

                          A) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
                          B) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
                          C) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
                          D) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.


                          5. What is a SequenceFile?

                          A) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
                          B) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
                          C) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
                          D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.


                          Solutions:

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

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