Hadoop MCQ (Multiple Choice Questions)

Hadoop MCQ - Multiple Choice Questions and Answers

Our 1000+ Hadoop MCQs (Multiple Choice Questions and Answers) focuses on all chapters of Hadoop covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for Hadoop exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

Hadoop Multiple Choice Questions Highlights

- 1000+ Multiple Choice Questions & Answers (MCQs) in Hadoop with a detailed explanation of every question.
- These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks and match the following style statements.
- These MCQs also cover numericals as well as diagram oriented MCQs.
- These MCQs are organized chapterwise and each Chapter is futher organized topicwise.
- Every MCQ set focuses on a specific topic of a given Chapter in Hadoop Subject.

Who should Practice Hadoop MCQs?

– Students who are preparing for college tests and exams such as mid-term tests and semester tests on Hadoop.
- Students who are preparing for Online/Offline Tests/Contests in Hadoop.
– Students who wish to sharpen their knowledge of Hadoop Subject.
- Anyone preparing for Aptitude test in Hadoop.
- Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews).
- Anyone preparing for entrance examinations and other competitive examinations.
- All - Experienced, Freshers and College / School Students.

Hadoop Chapters

Here's the list of chapters on the "Hadoop" subject covering 100+ topics. You can practice the MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.

  1. Basics of Hadoop
  2. Mapreduce
  3. HDFS – Hadoop Distributed File System
  4. Hadoop I/O
  5. Developing a MapReduce Application
  6. Working of MapReduce
  7. MapReduce Types and Formats
  8. Administering Hadoop
  9. Pig
  10. Hive and HBase
  11. ZooKeeper, Sqoop and Cassandra
  12. Incubator Projects, Chuckwa, Ambari, Knox and Hadoop Development Tools
  13. Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift
  14. Oozie, Orchestration, Hadoop Libraries and Utilities and Miscellaneous Hadoop Applications

1. Basics of Hadoop

The section contains multiple choice questions and answers on hadoop ecosytems, history and big data coverage.

  • History of Hadoop
  • Big Data
  • Hadoop Ecosystem
  • 2. Mapreduce

    The section contains questions and answers on mapreduce basics, data analyzing and hadoop streaming and scaling.

  • Introduction to Mapreduce
  • Analyzing Data with Hadoop
  • Scaling out in Hadoop
  • Hadoop Streaming
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    3. HDFS – Hadoop Distributed File System

    The section contains MCQs on distributed file systems(HDFS), data flows and interfaces and archives of hadoop.

  • Introduction to HDFS
  • Java Interface
  • Data Flow
  • Hadoop Archives
  • 4. Hadoop I/O

    The section contains multiple choice questions and answers on I/O and serialization, data integrity, compression and AVRO.

  • Hadoop I/O
  • Compression
  • Data Integrity
  • Serialization
  • Avro-1
  • Avro-2
  • 5. Developing a MapReduce Application

    The section contains questions and answers on features and development of mapreduce.

  • Mapreduce Development-1
  • Mapreduce Development-2
  • MapReduce Features-1
  • MapReduce Features-2
  • 6. Working of MapReduce

    The section contains MCQs on mapreduce jobs, security, hadoop configuration and YARN.

  • Hadoop Configuration
  • Security
  • MapReduce Job-1
  • MapReduce Job-2
  • YARN-1
  • YARN-2
  • 7. MapReduce Types and Formats

    The section contains multiple choice questions and answers on mapreduce types and formats.

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  • Mapreduce Types
  • Mapreduce Formats
  • 8. Administering Hadoop

    The section contains questions and answers on HDFS administration and maintenance.

  • HDFS Administration
  • HDFS Maintenance
  • 9. Pig

    The section contains MCQs on pig basics, pig latin, user defined functions and data processing operators in pig as well as pig practices.

  • Introduction to Pig
  • Pig Latin
  • User-defined functions in Pig
  • Data processing operators in Pig
  • Pig in practice
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    10. Hive and HBase

    The section contains multiple choice questions and answers on hive basics and hive query language as well as the basics, schematic diagrams and metrics of hbase.

  • Introduction to Hive
  • HiveQL-1
  • HiveQL-2
  • Querying data with HiveQL-1
  • Querying data with HiveQL-2
  • Introduction to HBase
  • Schema Design in HBase
  • Metrics in Hbase
  • 11. ZooKeeper, Sqoop and Cassandra

    The section contains questions and answers on zookeeper basics and zookeeper services, sqoop basics and scoop with hadoop as well as cassandra basics and cassandra with hadoop.

  • Introduction to Zookeeper
  • The ZooKeeper Service-1
  • The ZooKeeper Service-2
  • Introduction to Sqoop
  • Sqoop with Hadoop-1
  • Sqoop with Hadoop-2
  • Introduction to Cassandra
  • Cassandra with Hadoop-1
  • Cassandra with Hadoop-2
  • 12. Incubator Projects, Chuckwa, Ambari, Knox and Hadoop Development Tools

    The section contains MCQs on hadoop incubators and hadoop development tools(HDT), chuckwa with hadoop, ambari with hadoop and knox with hadoop.

  • Hadoop Incubators-1
  • Hadoop Incubators-2
  • Hadoop Incubators-3
  • Chuckwa with Hadoop-1
  • Chuckwa with Hadoop-2
  • Ambari with Hadoop
  • Knox with Hadoop
  • HDT with Hadoop
  • 13. Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift

    The section contains multiple choice questions and answers on spark with hadoop, flume with hadoop, lucene with hadoop, hama with hadoop, hcatalog basics and hcatalog with hadoop, mahout with hadoop, drill with hadoop, crunch with hadoop and thrift with hadoop.

  • Spark with Hadoop-1
  • Spark with Hadoop-2
  • Flume with Hadoop
  • Lucene with Hadoop-1
  • Lucene with Hadoop-2
  • Hama with Hadoop-1
  • Hama with Hadoop-2
  • Introduction to HCatalog
  • HCatalog with Hadoop-1
  • HCatalog with Hadoop-2
  • Mahout with Hadoop-2
  • Drill with Hadoop-2
  • Crunch with Hadoop-1
  • Crunch with Hadoop-2
  • Thrift with Hadoop-1
  • Thrift with Hadoop-2
  • 14. Oozie, Orchestration, Hadoop Libraries and Utilities and Miscellaneous Hadoop Applications

    The section contains questions and answers on miscellaneous other hadoop topics which include oozie, orchestration, utilities and libraries of hadoop on various platforms like microsoft, amazon, IBM and other topics in this section include bigtop, impala, storm, kafka and cloudera.

  • Oozie with Hadoop-1
  • Oozie with Hadoop-2
  • Oozie with Hadoop-3
  • Orchestration in Hadoop
  • BigTop
  • Impala
  • Storm
  • Kafka with Hadoop-1
  • Kafka with Hadoop-2
  • Hadoop Libraries-1
  • Hadoop Libraries-2
  • Hadoop Utilities-1
  • Hadoop Utilities-2
  • Local Hadoop Cloudera
  • Hadoop on Microsoft Azure
  • Amazon Elastic MapReduce
  • Amazon EC2/S3 services
  • IBM InfoSphere
  • If you would like to learn "Hadoop" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

    Wish you the best in your endeavor to learn and master Hadoop!

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    Manish Bhojasia - Founder & CTO at Sanfoundry
    Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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