Hadoop Interview Questions and Answers

1
Top 100 Hadoop Interview Questions and Answers
2017

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Top Hadoop Developer Interview Questions

• Top Hadoop Developer Interview Questions and
  Answers based on different components of the
  Hadoop Ecosystem-

• Hadoop Basic Interview Questions
• Hadoop HDFS Interview Questions
• MapReduce Interview Questions
• Hadoop HBase Interview Questions
• Hadoop Sqoop Interview Questions
• Hadoop Flume Interview Questions
• Hadoop Zookeeper Interview Questions
• Pig Interview Questions
• Hive Interview Questions
• Hadoop YARN Interview Questions

3
Big Data Hadoop Interview Questions and Answers
4
Differentiate between Structured and Unstructured
data

• Data which can be stored in traditional database
  systems in the form of rows and columns, for
  example the online purchase transactions can be
  referred to as Structured Data. Data which can be
  stored only partially in traditional database
  systems, for example, data in XML records can be
  referred to as semi structured data. Unorganized
  and raw data that cannot be categorized as semi
  structured or structured data is referred to as
  unstructured data. Facebook updates, Tweets on
  Twitter, Reviews, web logs, etc. are all examples
  of unstructured data.
• For more Big Data Hadoop Interview Questions and
  Answers - https//www.dezyre.com/article/top-100-h
  adoop-interview-questions-and-answers-2017/159

5
Hadoop HDFS Interview Questions and Answers
6
What is commodity hardware?

• Commodity Hardware refers to inexpensive systems
  that do not have high availability or high
  quality. Commodity Hardware consists of RAM
  because there are specific services that need to
  be executed on RAM. Hadoop can be run on any
  commodity hardware and does not require any super
  computers or high end hardware configuration to
  execute jobs.
• For more Hadoop HDFS Interview Questions and
  Answers - https//www.dezyre.com/article/top-100-h
  adoop-interview-questions-and-answers-2017/159

7
Hadoop MapReduce Interview Questions and Answers
8
What is the fundamental difference between a
MapReduce Split and a HDFS block?

• MapReduce split is a logical piece of data fed to
  the mapper. It basically does not contain any
  data but is just a pointer to the data. HDFS
  block is a physical piece of data.
• For more Hadoop MapReduce Interview Questions and
  Answers -https//www.dezyre.com/article/mapreduce-
  interview-questions-and-answers-for-2017/248

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Hadoop HBase Interview Questions and Answers
10
What is Row Key?

• Every row in an HBase table has a unique
  identifier known as Row Key. It is used for
  grouping cells logically and it ensures that all
  cells that have the same RowKeys are co-located
  on the same server. RowKey is internally regarded
  as a byte array.
• For More Hadoop HBase Interview Questions and
  Answers - https//www.dezyre.com/article/hbase-int
  erview-questions-and-answers-for-2017/281

11
Hadoop Pig Interview Questions and Answers
12
Explain about the BloomMapFile

• BloomMapFile is a class that extends the MapFile
  class. It is used in HBase table format to
  provide quick membership test for the keys using
  dynamic bloom filters.
• For More Pig Interview Questions and Answers -
  https//www.dezyre.com/article/pig-interview-quest
  ions-and-answers-for-2017/244

13
Apache Hive Interview Questions and Answers
14
What is the use of Hcatalog?

• Hcatalog can be used to share data structures
  with external systems. Hcatalog provides access
  to hive metastore to users of other tools on
  Hadoop so that they can read and write data to
  hives data warehouse.
• For More Hive Interview Questions and Answers-
  https//www.dezyre.com/article/hive-interview-ques
  tions-and-answers-for-2017/246