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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
Exam Format:Multiple Choice, Scenario-based Questions
Available Languages:English
Related Certifications:Hortonworks Certified Apache Hadoop Administrator
Cloudera Data Platform certifications
Recommended Training:Apache Hive Documentation
Apache Pig Documentation
Cloudera Training Courses
Exam Registration:Cloudera Certification Portal
Sample Questions: DOWNLOAD DEMO
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
Hadoop Ecosystem Fundamentals- HDFS Architecture and Data Storage Concepts
  • 1. NameNode and DataNode roles
    • 2. Data replication and fault tolerance
      - YARN and Resource Management
      • 1. Cluster resource allocation
        • 2. Resource scheduling concepts
          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
                    Apache Hive- HiveQL Query Language
                    • 1. SELECT, JOIN, and aggregation queries
                      • 2. Schema definition and tables
                        - Hive architecture
                        • 1. Metastore and query execution engine

                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Questions, Answered by Experience

                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer is an official Hortonworks (now part of Cloudera) certification exam, listed under the code Apache-Hadoop-Developer. Passing it earns the Hortonworks Certified Apache Hadoop Developer certification at the Professional level. It also ties into Hortonworks Certified Apache Hadoop Administrator, Cloudera Data Platform certifications. In an era of lifelong learning, this credential is one of the most efficient ways to prove your skills keep pace.

                          The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer syllabus is organized into 4 domains, led by Apache Hive, Hadoop Ecosystem Fundamentals, and Apache Pig. The complete breakdown is above on this page; it is the fastest way to learn where your limited preparation hours belong.

                          Basic understanding of Linux, SQL, and distributed computing concepts recommended.

                          Vendor policies are revised periodically, so verify the current requirements before registering via the official exam page.

                          Registration for Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer goes through the official channels below.

                          For planning: the exam is delivered Online proctored exam or authorized test center (varies by provider and time period).

                          Hortonworks (now part of Cloudera) recommends the following training for Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer candidates.

                          Follow any training with daily practice on the 110 questions in the SurePassExams Apache-Hadoop-Developer package; sorted by authorized expert groups, they turn course theory into exam-ready skill.

                          Yes on both counts. Download the free demo of the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer questions first, and browse the comments written by former customers for a second opinion. After purchase, new versions are sent to you as soon as they release, free for 365 days; after expiry, extending the update service costs 50% of the regular price.

                          Worry-free means a 100% money-back guarantee with stated conditions. Take the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.

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

                          Question #1

                          Which best describes what the map method accepts and emits?

                          • A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.
                          • B. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
                          • C. It accepts a single 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.
                          Reveal Solution  Discussion  0

                          Correct Answer: D  🗳️

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                          Question #2

                          On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
                          What determines how the JobTracker assigns each map task to a TaskTracker?

                          • A. The location of the InsputSplit to be processed in relation to the location of the node.
                          • B. The average system load on the TaskTracker node over the past fifteen (15) minutes.
                          • C. The amount of RAM installed on the TaskTracker node.
                          • D. The number and speed of CPU cores on the TaskTracker node.
                          • E. The amount of free disk space on the TaskTracker node.
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

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                          Question #3

                          Given the following Hive command:

                          Which one of the following statements is true?

                          • A. The files in the mydata folder are copied into Hive's underlying relational database
                          • B. The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
                          • C. The files in the mydata folder do not move from their current location In HDFS
                          • D. The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Question #4

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

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

                          Correct Answer: A,E  🗳️

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

                          Question #5

                          Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

                          • A. NameNode
                          • B. JobTracker
                          • C. TaskTracker
                          • D. Secondary NameNode
                          • E. DataNode
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

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