Purchase Hortonworks : Apache-Hadoop-Developer Exam Materials and then pass exam easily

Updated: Oct 23, 2026

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Hortonworks Apache-Hadoop-Developer Exam Overview:

Certification Vendor:Hortonworks (now part of Cloudera)
Exam Name:Apache Hadoop Developer Exam (Pig and Hive Developer Focus)
Exam Number:Apache-Hadoop-Developer
Related Certifications:Hortonworks Certified Apache Hadoop Administrator
Cloudera Data Platform certifications
Exam Format:Multiple Choice, Scenario-based Questions
Available Languages:English
Recommended Training:Apache Pig Documentation
Apache Hive Documentation
Cloudera Training Courses
Exam Registration:Cloudera Certification Portal
Sample Questions:Hortonworks Apache-Hadoop-Developer Sample Questions
Exam Way:Online proctored exam or authorized test center (varies by provider and time period)
Pre Condition:Basic understanding of Linux, SQL, and distributed computing concepts recommended.
Official Syllabus URL:https://www.cloudera.com/services-and-support/certification.html

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. NameNode and DataNode roles
        • 2. Data replication and fault tolerance
          Topic 2: Data Processing and Integration- Data ingestion and ETL workflows
          • 1. Batch processing concepts
            - Hadoop data formats
            • 1. Text, SequenceFile, and columnar formats
              Topic 3: 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 4: Apache Pig- Pig Latin Programming
                    • 1. Filtering, grouping, and joining data
                      • 2. Data loading and transformation
                        - Pig execution model
                        • 1. MapReduce translation of Pig scripts

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

                          Question #1

                          You want to Ingest log files Into HDFS, which tool would you use?

                          • A. HCatalog
                          • B. Sqoop
                          • C. Flume
                          • D. Ambari
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Question #2

                          Which Two of the following statements are true about hdfs? Choose 2 answers

                          • A. Blocks are replicated to multiple datanodes
                          • B. An HDFS file that is larger than dfs.block.size is split into blocks
                          • C. HDFS works best when storing a large number of relatively small files
                          • D. Block sizes for all files must be the same size
                          Reveal Solution  Discussion  0

                          Correct Answer: A,B  🗳️

                          Question #3

                          Examine the following Pig commands:

                          Which one of the following statements is true?

                          • A. Each MapReduce task will terminate after executing for 0.2 minutes
                          • B. A random sample of approximately 20% of the data will be output
                          • C. The reducers will only output the first 20% of the data passed from the mappers
                          • D. The SAMPLE command generates an "unexpected symbol" error
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Question #4

                          MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
                          daemons? Select two.

                          • A. Resource management
                          • B. Managing file system metadata
                          • C. Job coordination between the ResourceManager and NodeManager
                          • D. Managing tasks
                          • E. Launching tasks
                          • F. MapReduce metric reporting
                          • G. Job scheduling/monitoring
                          • H. Heath states checks (heartbeats)
                          Reveal Solution  Discussion  0

                          Correct Answer: A,G  🗳️

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                          Question #5

                          What does Pig provide to the overall Hadoop solution?

                          • A. Legacy language Integration with MapReduce framework
                          • B. Database table and storage management services
                          • C. C++ interface to MapReduce and data warehouse infrastructure
                          • D. Simple scripting language for writing MapReduce programs
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

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