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Hortonworks Apache-Hadoop-Developer Exam Braindumps - in .pdf Free Demo

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • , Last Updated: Oct 13, 2026
  • Q & A: 110 Questions and Answers
  • Convenient, easy to study. Printable Hortonworks Apache-Hadoop-Developer PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $49.99    

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • , Last Updated: Oct 13, 2026
  • Q & A: 110 Questions and Answers
  • Uses the World Class Apache-Hadoop-Developer Testing Engine. Free updates for one year. Real Apache-Hadoop-Developer exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Apache Hive- HiveQL Query Language
  • 1. SELECT, JOIN, and aggregation queries
    • 2. Schema definition and tables
      - Hive architecture
      • 1. Metastore and query execution engine
        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
              Data Processing and Integration- Data ingestion and ETL workflows
              • 1. Batch processing concepts
                - Hadoop data formats
                • 1. Text, SequenceFile, and columnar formats
                  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

                          Straight Answers About the Hortonworks Apache-Hadoop-Developer Exam

                          The Apache-Hadoop-Developer exam is Hortonworks's benchmark for awarding the Hortonworks Certified Apache Hadoop Developer certification, a credential positioned at the Professional level. It measures whether you can apply the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer objectives under exam conditions — not whether you recognize them in a textbook. It also connects to a wider certification path that includes Hortonworks Certified Apache Hadoop Administrator, Cloudera Data Platform certifications, so the effort you invest here keeps paying off. That is exactly why preparation built on realistic questions outperforms passive reading.

                          The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer blueprint spans 4 domains, headlined by Apache Hive, Apache Pig, and Hadoop Ecosystem Fundamentals. Read the weightings as a budget: the domains carrying more of the score deserve more of your week. The complete topic list lives in the exam topics section above — plan against it, not against guesswork.

                          Hortonworks lists the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer question formats as: Multiple Choice, Scenario-based Questions. Formats are not trivia — they change how you read. For long scenario stems, find the actual question sentence first; for multi-answer items, verify every option you select. ExamsTorrent's 110 practice questions cover these formats thoroughly, so on exam day only the content is new.

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

                          Question #1

                          Which YARN component is responsible for monitoring the success or failure of a Container?

                          • A. ApplicationMaster
                          • B. NodeManager
                          • C. JobTracker
                          • D. ResourceManager
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

                          Question #2

                          Which one of the following statements describes a Hive user-defined aggregate function?

                          • A. Operates on multiple input rows and produces a table as output
                          • B. Operates on multiple input rows and creates a single row as output
                          • C. Operates on a single input row and produces a single row as output
                          • D. Operates on a single input row and produces a table as output
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Question #3

                          Which one of the following classes would a Pig command use to store data in a table defined in HCatalog?

                          • A. Pig scripts cannot use an HCatalog table
                          • B. org.apache.hcatalog.pig.HCatOutputFormat
                          • C. org.apache.hcatalog.pig.HCatStorer
                          • D. No special class is needed for a Pig script to store data in an HCatalog table
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Question #4

                          In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
                          The Standby NameNode:

                          • A. Processes all client requests and block reports from the appropriate DataNodes.
                          • B. Receives the same block reports as the active NameNode.
                          • C. Runs on the same machine and shares the memory of the active NameNode.
                          • D. Communicates directly with the active NameNode to maintain the state of the active NameNode.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Question #5

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

                          • A. At least 500.
                          • B. It depends on the number of reduces in the job.
                          • C. Exactly 500.
                          • D. Between 500 and 1000.
                          • E. At most 500.
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

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