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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Processing with Pig- Advanced Pig processing
  • 1. User Defined Functions (UDFs)
    • 2. Joins and grouping
      - Pig Latin fundamentals
      • 1. Pig operators and transformations
        • 2. Data types and schemas
          • 3. Loading and storing data
            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: Hadoop Ecosystem Integration- Data ingestion and ETL workflows
                    - MapReduce basics
                    - HDFS interaction

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

                    1. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best
                    describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and
                    C?

                    A) The file can be accessed if at least one of the data nodes storing the file is available.
                    B) Each data node locks the local file to prohibit concurrent readers and writers of the file.
                    C) The file will be marked as corrupted if data node B fails during the creation of the file.
                    D) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.


                    2. Which best describes what the map method accepts and emits?

                    A) It accepts a single key-value pairs as input and can emit only one key-value pair as output.
                    B) It accepts a single key-value pair as input and emits a single key and list of corresponding values as
                    output.
                    C) It accepts a list key-value pairs as input and can emit only one key-value pair as output.
                    D) It accepts a single key-value pairs as input and can emit any number of key-value pair as output,
                    including zero.


                    3. What is the term for the process of moving map outputs to the reducers?

                    A) Shuffling and sorting
                    B) Combining
                    C) Partitioning
                    D) Reducing


                    4. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

                    A) Between 500 and 1000.
                    B) At most 500.
                    C) It depends on the number of reduces in the job.
                    D) Exactly 500.
                    E) At least 500.


                    5. Which of the following tool was designed to import data from a relational database into HDFS?

                    A) Sqoop
                    B) HCatalog
                    C) Flume
                    D) Ambari


                    Solutions:

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

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