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Exam Code: HADOOP-PR000007
Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
Certification Provider: Hortonworks
Corresponding Certification: HDP Certified Developer
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Hortonworks HADOOP-PR000007 Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer)
Exam Number:HADOOP-PR000007
Exam Duration:120 minutes
Exam Format:Scenario-based Questions, Multiple Choice Questions
Real Exam Qty:44-110
Related Certifications:Hortonworks HDP Certified Developer (HDPCD)
Available Languages:English
Recommended Training:Hortonworks Training Catalog (HDP Developer Training)
Exam Registration:Hortonworks Official Site
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored / testing platform (varies by provider)
Pre Condition:Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
Official Syllabus URL:https://hortonworks.com

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
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. Joins and grouping
          • 2. User Defined Functions (UDFs)
            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
                    Hadoop Ecosystem Integration- Data ingestion and ETL workflows
                    - MapReduce basics
                    - HDFS interaction

                    Preparing for HADOOP-PR000007 with Lead2PassExam: The Essentials

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                    Hortonworks Training Catalog (HDP Developer Training) An official course builds structured theory, while the verified Lead2PassExam HADOOP-PR000007 bank supplies realistic rehearsal — together they cover the full preparation cycle.
                    The official Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) outline splits its weight like this:
                    • Data Processing with Pig ()
                    • Hadoop Ecosystem Integration ()
                    • Data Warehousing with Hive ()
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                    Around 44-110 questions in 120 minutes minutes. The PC engine recreates that exact environment, so practicing in it doubles as dress rehearsal for exam day — and 110 practice questions for the HADOOP-PR000007 exam give you plenty of runs to feel ready.
                    Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
                    A professional team of specialized experts, organized specifically to research question patterns and study how different learners approach the HADOOP-PR000007 material. Content is refined against the live Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) blueprint, every answer is verified before publication, and the bank keeps pace with contemporary talent development — so it serves the way people actually prepare today, not the way they did years ago.

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

                    What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

                    • A. Relational operations on large amounts of structured and semi-structured data.
                    • B. Large-scale graph algorithms that require one-step link traversal.
                    • C. Algorithms that require global, sharing states.
                    • D. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
                    • E. Algorithms that require applying the same mathematical function to large numbers of individual binary
                      records.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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

                    Correct Answer: A  🗳️

                    You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
                    IntWritable values. Which interface should your class implement?

                    • A. Combiner <Text, IntWritable, Text, IntWritable>
                    • B. Combiner <Text, Text, IntWritable, IntWritable>
                    • C. Reducer <Text, IntWritable, Text, IntWritable>
                    • D. Mapper <Text, IntWritable, Text, IntWritable>
                    • E. Reducer <Text, Text, IntWritable, IntWritable>
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Which two of the following are true about this trivial Pig program' (choose Two)

                    • A. ABC has a schema associated with it
                    • B. The contents of myfile appear on stdout
                    • C. Pig assumes the contents of myfile are comma delimited
                    • D. myfile is read from the user's home directory in HDFS
                    Reveal Solution  Discussion  0

                    Correct Answer: B,D  🗳️

                    Given the following Hive commands:

                    Which one of the following statements Is true?

                    • A. The file mydata.txt does not move from Its current location in HDFS
                    • B. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
                    • C. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
                    • D. The file mydata.txt is copied into Hive's underlying relational database 0.
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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