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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Hadoop Ecosystem Fundamentals- YARN and Resource Management
  • 1. Cluster resource allocation
    • 2. Resource scheduling concepts
      - HDFS Architecture and Data Storage Concepts
      • 1. Data replication and fault tolerance
        • 2. NameNode and DataNode roles
          Topic 2: 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 3: Apache Pig- Pig execution model
                • 1. MapReduce translation of Pig scripts
                  - Pig Latin Programming
                  • 1. Data loading and transformation
                    • 2. Filtering, grouping, and joining data
                      Topic 4: Data Processing and Integration- Hadoop data formats
                      • 1. Text, SequenceFile, and columnar formats
                        - Data ingestion and ETL workflows
                        • 1. Batch processing concepts

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

                          Question #1

                          Which TWO of the following statements are true regarding Hive? Choose 2 answers

                          • A. Is a relational database
                          • B. Useful for data analysts familiar with SQL who need to do ad-hoc queries
                          • C. Offers real-time queries and row level updates
                          • D. Allows you to define a structure for your unstructured Big Data
                          Reveal Solution  Discussion  0

                          Correct Answer: B,D  🗳️

                          Question #2

                          A combiner reduces:

                          • A. The number of values across different keys in the iterator supplied to a single reduce method call.
                          • B. The amount of intermediate data that must be transferred between the mapper and reducer.
                          • C. The number of input files a mapper must process.
                          • D. The number of output files a reducer must produce.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

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                          Question #3

                          Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

                          • A. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
                          • B. Both the keys and values passed to a reducer always appear in sorted order.
                          • C. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
                          • D. Neither keys nor values are in any predictable order.
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

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                          Question #4

                          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 number of disks (or size) for the NameNode.
                          • B. Increase the block size on your remaining files.
                          • C. Decrease the block size on all current files in HDFS.
                          • D. Decrease the block size on your remaining files.
                          • E. Increase the block size on all current files in HDFS.
                          • F. Increase the amount of memory for the NameNode.
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Question #5

                          Review the following 'data' file and Pig code.

                          Which one of the following statements is true?

                          • A. The output of the dump d command is (M, {(38,95in),(62,95i02)})
                          • B. The code executes successfully but there is not output because the D relation is empty
                          • C. The code does not execute successfully because D is not a valid relation
                          • D. The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

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