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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    1. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
                    the next () method return?

                    A) It returns a reference to the same Writable object if the next value is the same as the previous value, or
                    a new Writable object otherwise.
                    B) It returns a reference to a different Writable object time.
                    C) It returns a reference to the same Writable object each time, but populated with different data.
                    D) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
                    or a new object.
                    E) It returns a reference to a Writable object from an object pool.


                    2. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
                    process it with MapReduce but you also want to give your data analysts and data scientists the ability to
                    process the data directly from HDFS with an interpreted high-level programming language like Python.
                    Which format should you use to store this data in HDFS?

                    A) JSON
                    B) Avro
                    C) CSV
                    D) XML
                    E) SequenceFiles
                    F) HTML


                    3. Which one of the following statements describes a Pig bag. tuple, and map, respectively?

                    A) Ordered set of fields, ordered collection of tuples, ordered collection of maps
                    B) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs
                    C) Unordered collection of tuples, ordered set of fields, set of key value pairs
                    D) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs


                    4. Assuming the following Hive query executes successfully:

                    Which one of the following statements describes the result set?

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


                    5. Table metadata in Hive is:

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


                    Solutions:

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

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