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Last Updated: Sep 10, 2026
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Pig Development | - Pig data types and UDFs - Pig Latin scripting |
| Hive Development | - Hive optimization and execution - Hive table definitions and queries |
| Hadoop Core Concepts | - YARN and MapReduce fundamentals - HDFS architecture and commands |
| Hadoop Ecosystem Tools | - Workflow and processing frameworks - Sqoop and data ingestion |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Workflows expressed in Oozie can contain:
- A. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks. - B. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
- C. Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins. - D. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
Correct Answer: C 🗳️
What is a SequenceFile?
- A. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be
the same type. Each value must be same type. - B. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
- C. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
- D. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
sorted order.
Correct Answer: A 🗳️
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.
- A. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS. - B. There is no difference in output between the two settings.
- C. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS. - D. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.
Correct Answer: C 🗳️
Determine which best describes when the reduce method is first called in a MapReduce job?
- A. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs. - B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins. - C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted. - D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.
Correct Answer: C 🗳️
A combiner reduces:
- A. The number of input files a mapper must process.
- B. The number of output files a reducer must produce.
- C. The number of values across different keys in the iterator supplied to a single reduce method call.
- D. The amount of intermediate data that must be transferred between the mapper and reducer.
Correct Answer: D 🗳️
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