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

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

                          1. Which best describes how TextInputFormat processes input files and line breaks?

                          A) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
                          B) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
                          C) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
                          D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
                          E) Input file splits may cross line breaks. A line that crosses file splits is ignored.


                          2. A combiner reduces:

                          A) The number of output files a reducer must produce.
                          B) The number of values across different keys in the iterator supplied to a single reduce method call.
                          C) The number of input files a mapper must process.
                          D) The amount of intermediate data that must be transferred between the mapper and reducer.


                          3. You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?

                          A) Increase the block size on your remaining files.
                          B) Decrease the block size on all current files in HDFS.
                          C) Increase the amount of memory for the NameNode.
                          D) Decrease the block size on your remaining files.
                          E) Increase the number of disks (or size) for the NameNode.
                          F) Increase the block size on all current files in HDFS.


                          4. Which YARN component is responsible for monitoring the success or failure of a Container?

                          A) JobTracker
                          B) ResourceManager
                          C) ApplicationMaster
                          D) NodeManager


                          5. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

                          A) init
                          B) combine
                          C) map
                          D) configure


                          Solutions:

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

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