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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Apache Pig- Pig Latin Programming
  • 1. Filtering, grouping, and joining data
    • 2. Data loading and transformation
      - Pig execution model
      • 1. MapReduce translation of Pig scripts
        Apache Hive- HiveQL Query Language
        • 1. SELECT, JOIN, and aggregation queries
          • 2. Schema definition and tables
            - 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
                  Hadoop Ecosystem Fundamentals- YARN and Resource Management
                  • 1. Cluster resource allocation
                    • 2. Resource scheduling concepts
                      - HDFS Architecture and Data Storage Concepts
                      • 1. NameNode and DataNode roles
                        • 2. Data replication and fault tolerance

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

                          1. Table metadata in Hive is:

                          A) Stored along with the data in HDFS.
                          B) Stored in ZooKeeper.
                          C) Stored as metadata on the NameNode.
                          D) Stored in the Metastore.


                          2. Which one of the following statements is true regarding a MapReduce job?

                          A) The Mapper must sort its output of (key.value) pairs in descending order based on value
                          B) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
                          C) The reduce method is invoked once for each unique value
                          D) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers


                          3. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?

                          A) They would see no content until the whole file written and closed.
                          B) They would see the current of the file through the last completed block.
                          C) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
                          D) They would see the current state of the file, up to the last bit written by the command.


                          4. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
                          The Standby NameNode:

                          A) Runs on the same machine and shares the memory of the active NameNode.
                          B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
                          C) Receives the same block reports as the active NameNode.
                          D) Processes all client requests and block reports from the appropriate DataNodes.


                          5. Assuming the following Hive query executes successfully:

                          Which one of the following statements describes the result set?

                          A) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
                          B) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
                          C) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
                          D) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.


                          Solutions:

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

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