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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Hadoop Ecosystem Integration- Data ingestion and ETL workflows
- MapReduce basics
- HDFS interaction
Topic 2: Data Warehousing with Hive- HiveQL fundamentals
  • 1. Tables, partitions, and schemas
    • 2. SELECT queries and filtering
      - Advanced Hive features
      • 1. Joins and aggregations
        • 2. Metastore and HCatalog usage
          Topic 3: Data Processing with Pig- Advanced Pig processing
          • 1. Joins and grouping
            • 2. User Defined Functions (UDFs)
              - Pig Latin fundamentals
              • 1. Loading and storing data
                • 2. Data types and schemas
                  • 3. Pig operators and transformations

                    Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

                    Question #1

                    Which describes how a client reads a file from HDFS?

                    • A. 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.
                    • 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 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.
                    • D. 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.
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

                    Question #2

                    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 ignored.
                    • C. 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.
                    • D. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
                      lines.
                    • E. 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.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #3

                    Which HDFS command displays the contents of the file x in the user's HDFS home directory?

                    • A. hadoop fs -Is x
                    • B. hdfs fs -get x
                    • C. hadoop fs -cp x
                    • D. hadoop fs -cat x
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #4

                    You need to perform statistical analysis in your MapReduce job and would like to call methods in the
                    Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
                    the best way to make this library available to your MapReducer job at runtime?

                    • A. Package your code and the Apache Commands Math library into a zip file named JobJar.zip
                    • B. Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
                      HADOOP_CLASSPATH environment variable before you submit your job.
                    • C. When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
                    • D. Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
                      then set the HTTP_JAR_URL environment variable to its location.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #5

                    Which one of the following statements is true about a Hive-managed table?

                    • A. Records can only be added to the table using the Hive INSERT command.
                    • B. Hive dynamically defines the schema of the table based on the format of the underlying data.
                    • C. When the table is dropped, the underlying folder in HDFS is deleted.
                    • D. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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