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Students, office workers, career changers, veterans — the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) is the common denominator for all of them in 2026, because a Hortonworks credential upgrades any resume. Actual4dump prepares every one of those profiles with 110 practice questions for the HADOOP-PR000007 exam.
Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Topic 2: Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Topic 3: Apache Pig Development | 40% | - Integration with HCatalog and Hive - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - User-defined functions (UDFs) and optimization |
| Topic 4: Apache Hive Development | 35% | - Hive architecture, metastore, and table management - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning - Data types, serialization, and file formats |
Hortonworks HADOOP-PR000007 Exam — Questions Candidates Actually Ask
The HADOOP-PR000007 exam presents 110 questions inside a 120 minutes window. That combination makes time a resource you manage, not a backdrop: candidates who never practice against a clock often leave easy questions unanswered at the end. Use the Actual4dump mock exam system — its timing function recreates the real pressure, so you can spot pacing gaps during preparation instead of during the exam.
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If you take the HADOOP-PR000007 exam within 60 days of purchase and do not pass, the Actual4dump money back guarantee applies: file your claim within 2 days of the exam with a scanned enrollment slip and the official score report (PDF), and it will be processed within 7 days. The candidate name must match the payer name; the policy does not cover exams taken within 3 days of purchase, purchases never used in an actual exam attempt, free materials, or expired orders. If you would rather continue learning than refund, you can exchange the product for two free exam packages of equal value and keep the update service on your original purchase.
No formal prerequisites; hands-on experience with HDP 2.x, Pig, and Hive strongly recommended
Vendor rules change periodically, so before scheduling, confirm the latest requirements on the official Hortonworks exam page.
For the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer), Hortonworks recommends the following training:
Formal training builds understanding; focused practice builds exam-day performance. Combine either resource above with 110 practice questions from Actual4dump and you cover both.
The HADOOP-PR000007 exam — officially the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) — is Hortonworks's certification test for professionals working with its technologies, and passing it awards the HDP Certified Developer (HDPCD) certification at the Professional level. Whether you are a student, an office worker, or a veteran of the field, a vendor-issued credential is one of the few qualifications every employer reads the same way. It also leads naturally toward HDP Certified Administrator (HDPCA).
Passing requires 70%, and official registration costs $150 USD. Budget-wise, remember the fee covers one attempt only — a retake is charged in full again. The prudent sequence is to self-assess first: run timed mocks with 110 practice questions at Actual4dump until your scores clear the passing mark with margin, and only then spend on the seat.
The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) syllabus is divided into 4 domains, headlined by Data Ingestion & Ecosystem Integration (5%), Hadoop Fundamentals & HDFS (20%), and Apache Hive Development (35%). The complete weighted outline is in the syllabus section above — let it direct your preparation toward the points that matter most.
Yes — a free trial comes before any payment at Actual4dump. You can download sample PDF questions of the HADOOP-PR000007 materials at no cost and see clearly how the PC and online versions operate, so the decision is fully informed. After purchase, 365 days of free updates are included, and an expired product's update service renews at a 50% discount from your member zone.
The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) is booked through these official channels:
When scheduling, note that the HADOOP-PR000007 exam is delivered Online proctored or authorized test center; retired since 2020.
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. Specifies the location of the JAR file containing the user-defined functions
- B. Invokes the user-defined functions contained in the jar file
- C. Transforms Pig user-defined functions into a format that Hive can accept
- D. Assigns a name to a user-defined function or streaming command
Correct Answer: A 🗳️
What does Pig provide to the overall Hadoop solution?
- A. C++ interface to MapReduce and data warehouse infrastructure
- B. Legacy language Integration with MapReduce framework
- C. Simple scripting language for writing MapReduce programs
- D. Database table and storage management services
Correct Answer: C 🗳️
Which process describes the lifecycle of a Mapper?
- A. The JobTracker spawns a new Mapper to process all records in a single file.
- B. The TaskTracker spawns a new Mapper to process each key-value pair.
- C. The TaskTracker spawns a new Mapper to process all records in a single input split.
- D. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
Correct Answer: C 🗳️
What is the term for the process of moving map outputs to the reducers?
- A. Reducing
- B. Combining
- C. Partitioning
- D. Shuffling and sorting
Correct Answer: D 🗳️
Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
two tables are formatted as comma-separated files in HDFS.
- A. Yes, but only if one of the tables fits into memory
- B. Yes.
- C. No, but it can be done with either Pig or Hive.
- D. No, MapReduce cannot perform relational operations.
- E. Yes, so long as both tables fit into memory.
Correct Answer: B 🗳️
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