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Last Updated: Nov 10, 2026
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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 Format: | Scenario-based Questions, Multiple Choice Questions |
| Real Exam Qty: | 44-110 |
| Available Languages: | English |
| Related Certifications: | Hortonworks HDP Certified Developer (HDPCD) |
| Exam Duration: | 120 minutes |
| 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:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Ecosystem Integration | - MapReduce basics - HDFS interaction - Data ingestion and ETL workflows |
| Topic 2: Data Warehousing with Hive | - HiveQL fundamentals
|
| Topic 3: Data Processing with Pig | - Pig Latin fundamentals
|
FAQ for Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Candidates
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) is an official Hortonworks exam, catalogued under the code HADOOP-PR000007. A pass awards you the Hortonworks Certified Apache Hadoop 2.0 Developer certification at the Professional level. It also supports progress toward Hortonworks HDP Certified Developer (HDPCD). Demand for this credential has stayed strong because it validates skills employers can use from day one.
The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam packs 44-110 questions into 120 minutes. Candidates rarely fail because of one impossible topic; they fail because ten minutes vanished on three stubborn questions. Build a triage habit now: answer, flag, move on, return later. Timed full-length sessions in the SurePassExams test engine are the most honest way to practice that discipline before it counts.
Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
Vendor policies shift over time, so confirm the current entry conditions before paying any registration fee; the official exam page is the authoritative source.
You can sign up for Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) through the official registration points listed here.
Regarding format, the exam is delivered Online proctored / testing platform (varies by provider).
Hortonworks recommends the following training for Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) candidates.
Course content builds understanding, but the exam grades answers. Bridge the two with the 110 practice questions in the SurePassExams HADOOP-PR000007 package, and the theory starts converting into points.
Yes. A free demo of the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) material is available on this page, so you can verify the quality of the questions and the expert-edited answers yourself. Once you purchase, updates are free for 365 days and the newest version is emailed to you automatically as it releases; after expiry, extending the update service costs 50% of the regular price.
A 100% money-back guarantee covers your purchase under defined conditions. If you take the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam within 60 days of buying and fail, you can 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, and 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; claims are processed within 7 days. Alternatively, you may exchange rather than refund: two other exam products of equal value, free, with the update service on your original purchase kept intact.
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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) spans 3 official domains. The most heavily weighted include Hadoop Ecosystem Integration, Data Warehousing with Hive, and Data Processing with Pig. The full topic list is published above on this page; let the weightings decide where your next study hour goes.
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
What does the following command do? register '/piggyban):/pig-files.jar';
- A. Transforms Pig user-defined functions into a format that Hive can accept
- B. Invokes the user-defined functions contained in the jar file
- C. Assigns a name to a user-defined function or streaming command
- D. Specifies the location of the JAR file containing the user-defined functions
Correct Answer: D 🗳️
The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:
- A. Speculative Execution
- B. Default Partitioner
- C. IdentityMapper
- D. IdentityReducer
- E. Combine
Correct Answer: A 🗳️
Review the following 'data' file and Pig code.
Which one of the following statements is true?
- A. The code does not execute successfully because D is not a valid relation
- B. The code executes successfully but there is not output because the D relation is empty
- C. The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
- D. The output of the dump d command is (M, {(38,95in),(62,95i02)})
Correct Answer: C 🗳️
You are developing a MapReduce job for sales reporting. The mapper will process input keys
representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.
- A. The key and value types specified in the JobConf.setMapInputKeyClass and
JobConf.setMapInputValuesClass methods - B. The mapper-specification.xml file submitted with the job determine the mapper's input key and value
types. - C. The data types specified in HADOOP_MAP_DATATYPES environment variable
- D. The InputFormat used by the job determines the mapper's input key and value types.
Correct Answer: D 🗳️
Which describes how a client reads a file from HDFS?
- A. The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
to the client. The client reads the data directory off the DataNode(s). - B. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
directly to the client. The client reads the data directly off the DataNode. - C. The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
the client to the DataNode that holds the requested data block(s). The client then reads the data directly
off the DataNode. - D. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
from the NameNode to the client.
Correct Answer: A 🗳️
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