Top 100 Hadoop

Interview Questions

and Answers 2017

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

1. Hadoop Basic Interview Questions2. Hadoop HDFS Interview Questions3. MapReduce Interview Questions4. Hadoop HBase Interview Questions5. Hadoop Sqoop Interview Questions6. Hadoop Flume Interview Questions

7. Hadoop Zookeeper Interview Questions

8. Pig Interview Questions9. Hive Interview Questions10. Hadoop YARN Interview Questions

Big Data Hadoop Interview Questions and

Answers

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-hadoop-interview-questions-and-answers-2017/159

Hadoop HDFS Interview Questions and Answers

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-hadoop-interview-questions-and-answers-2017/159

Hadoop MapReduce Interview Questions and

Answers

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

Hadoop HBase Interview Questions and

Answers

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-interview-questions-and-answers-for-2017/281

Hadoop Pig Interview Questions and Answers

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-questions-and-answers-for-2017/244

Apache Hive Interview Questions and Answers

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 hive’s data warehouse.

• For More Hive Interview Questions and Answers- https://www.dezyre.com/article/hive-interview-questions-and-answers-for-2017/246