Hortonworks Apache-Hadoop-Developer : Hadoop 2.0 Certification exam for Pig and Hive Developer

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Jul 21, 2026

Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Fundamentals & Architecture20%- MapReduce concepts and job lifecycle
- HDFS operations and file management
- YARN architecture and job execution
Topic 2: Data Ingestion25%- Ingest streaming data with Flume
- Import/export data using Sqoop
- Load data into HDFS from external sources
Topic 3: Apache Pig Development30%- Data transformation, filtering, joining, and aggregation
- Write and optimize Pig Latin scripts
- Debug and tune Pig jobs
Topic 4: Apache Hive Development25%- Write and optimize HiveQL queries
- Create and manage Hive tables, partitions, and buckets
- Use Hive functions, views, and metastore

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

A) Oozie
B) Hive
C) Pig
D) Flume
E) HBase
F) Sqoop
G) Hue


2. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
B) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
C) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
D) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.


3. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Ability to run frameworks other than MapReduce, such as MPI.
B) Reduce complexity of the MapReduce APIs.
C) Standardize on a single MapReduce API.
D) HDFS latency.
E) Single point of failure in the NameNode.
F) Resource pressure on the JobTracker.


4. Given the following Pig commands:

Which one of the following statements is true?

A) The grouped relation is not valid
B) The severe relation is not valid
C) The $1 variable represents the first column of data in 'my.log'
D) The $1 variable represents the second column of data in 'my.log'


5. Which two of the following are true about this trivial Pig program' (choose Two)

A) myfile is read from the user's home directory in HDFS
B) ABC has a schema associated with it
C) The contents of myfile appear on stdout
D) Pig assumes the contents of myfile are comma delimited


Solutions:

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

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