Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer - Apache-Hadoop-Developer

Hortonworks Apache-Hadoop-Developer test insides dumps
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 15, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

                          Question #1

                          All keys used for intermediate output from mappers must:

                          • A. Be a subclass of FileInputFormat.
                          • B. Override isSplitable.
                          • C. Implement WritableComparable.
                          • D. Implement a comparator for speedy sorting.
                          • E. Implement a splittable compression algorithm.
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).

                          Question #2

                          Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

                          • A. map
                          • B. combine
                          • C. configure
                          • D. init
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).

                          Question #3

                          You have the following key-value pairs as output from your Map task:
                          (the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1)
                          How many keys will be passed to the Reducer's reduce method?

                          • A. Three
                          • B. Two
                          • C. Six
                          • D. Five
                          • E. One
                          • F. Four
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).

                          Question #4

                          You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?

                          • A. Channel these clickstreams inot Hadoop using Hadoop Streaming.
                          • B. Ingest the server web logs into HDFS using Flume.
                          • C. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
                          • D. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
                          • E. Sample the weblogs from the web servers, copying them into Hadoop using curl.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Question #5

                          Indentify the utility that allows you to create and run MapReduce jobs with any executable
                          or script as the mapper and/or the reducer?

                          • A. Sqoop
                          • B. Flume
                          • C. mapred
                          • D. Hadoop Streaming
                          • E. Oozie
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).

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