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Updated: Aug 01, 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 |
| Real Exam Qty: | 104-110 |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Exam Format: | Performance-based tasks, Multiple choice questions |
| Related Certifications: | HDP Certified Developer HDP Certified Associate HDP Certified Administrator |
| Sample Questions: | Hortonworks HADOOP-PR000007 Sample Questions |
| Exam Way: | Online proctored / onsite |
| Pre Condition: | Familiarity with Hadoop ecosystem and development tools. |
Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Core Concepts | - YARN and MapReduce fundamentals - HDFS architecture and commands |
| Topic 2: Hive Development | - Hive table definitions and queries - Hive optimization and execution |
| Topic 3: Pig Development | - Pig Latin scripting - Pig data types and UDFs |
| Topic 4: Hadoop Ecosystem Tools | - Workflow and processing frameworks - Sqoop and data ingestion |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?
A) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
B) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
C) Keys are presented to reducer in sorted order; values for a given key are not sorted.
D) Keys are presented to a reducer in random order; values for a given key are not sorted.
2. MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons?
Select two.
A) Heath states checks (heartbeats)
B) Managing tasks
C) Launching tasks
D) MapReduce metric reporting
E) Job coordination between the ResourceManager and NodeManager
F) Managing file system metadata
G) Resource management
H) Job scheduling/monitoring
3. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?
A) mXn (i.e., m multiplied by n)
B) mn (i.e., m to the power of n)
C) m+n (i.e., m plus n)
D) n
E) m
4. Which describes how a client reads a file from HDFS?
A) 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.
B) 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).
C) 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.
D) 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.
5. Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?
A) The ApplicationMaster starts an instance of the ResourceManager within each Container
B) The ApplicationMaster starts a single instance of the ResourceManager
C) The ApplicationMaster requests resources from the ResourceManager
D) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: G,H | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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