Hortonworks HADOOP-PR000007 Q&A - in .pdf

  • HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Aug 22, 2026
  • Q & A: 110 Questions and Answers
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HADOOP-PR000007 pass review

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionWeightObjectives
Apache Pig Development40%- Integration with HCatalog and Hive
- Data transformation, filtering, grouping, and joining
- Pig Latin syntax, data loading, and storage
- User-defined functions (UDFs) and optimization
Apache Hive Development35%- Performance tuning and indexing
- Hive architecture, metastore, and table management
- Data types, serialization, and file formats
- HiveQL queries, joins, aggregations, and partitioning
Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Hadoop Fundamentals & HDFS20%- HDFS file operations, permissions, and data management
- Hadoop 2.0 architecture & YARN

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

1. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A) Applications Manager
B) Task Tracker
C) Job Tracker
D) Scheduler


2. Determine which best describes when the reduce method is first called in a MapReduce job?

A) 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.
B) 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.
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) 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.


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) m+n (i.e., m plus n)
B) n
C) mn (i.e., m to the power of n)
D) mXn (i.e., m multiplied by n)
E) m


4. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
the next () method return?

A) It returns a reference to a Writable object from an object pool.
B) It returns a reference to the same Writable object each time, but populated with different data.
C) It returns a reference to the same Writable object if the next value is the same as the previous value, or
a new Writable object otherwise.
D) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
or a new object.
E) It returns a reference to a different Writable object time.


5. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?

A) Oozie
B) Flume
C) Hive
D) Pig
E) Sqoop
F) fuse-dfs
G) Hue


Solutions:

Question # 1
Answer: A,D
Question # 2
Answer: C
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: E

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