Our 1000+ Hadoop questions and answers focuses on all areas of Hadoop subject covering 100+ topics in Hadoop. These topics are chosen from a collection of most authoritative and best reference books on Hadoop. One should spend 1 hour daily for 2-3 months to learn and assimilate Hadoop comprehensively. This way of systematic learning will prepare anyone easily towards Hadoop interviews, online tests, examinations and certifications.
Highlights
– 1000+ Multiple Choice Questions & Answers in Hadoop with explanations
– Every MCQ set focuses on a specific topic in Hadoop Subject
Who should Practice these Hadoop Questions?
– Anyone wishing 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 Students
Here’s list of Questions & Answers on Hadoop Subject covering 100+ topics:
1. Basics of Hadoop
The section contains questions and answers on hadoop ecosytems, history and big data coverage.
– History of Hadoop
– Big Data
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– Hadoop Ecosystem
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2. Mapreduce
The section contains questions on mapreduce basics, data analyzing and hadoop streaming and scaling.
– Introduction to Mapreduce
– Analyzing Data with Hadoop
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– Scaling out in Hadoop
– Hadoop Streaming
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3. HDFS – Hadoop Distributed File System
The section contains questions and answers on distributed file systems(HDFS), data flows and interfaces and archives of hadoop.
– Introduction to HDFS
– Java Interface
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– Data Flow
– Hadoop Archives
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4. Hadoop I/O
The section contains questions on I/O and serialization, data integrity, compression and AVRO.
– Hadoop I/O
– Compression
– Data Integrity
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– Serialization
– Avro-1
– Avro-2
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5. Developing a MapReduce Application
The section contains questions on features and development of mapreduce.
– Mapreduce Development-1
– Mapreduce Development-2
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– MapReduce Features-1
– MapReduce Features-2
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6. Working of MapReduce
The section contains questions on mapreduce jobs, security, configuration, execution of tasks and YARN.
– Hadoop Configuration
– Security
– MapReduce Job-1
– MapReduce Job-2
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– Task Execution
– YARN-1
– YARN-2
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7. MapReduce Types and Formats and Setting up a Hadoop Cluster
The section contains questions and answers on hadoop clusters and mapreduce types and formats.
– Mapreduce Types
– Mapreduce Formats-1
– Mapreduce Formats-2
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– Hadoop Cluster-1
– Hadoop Cluster-2
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8. Administering Hadoop
The section contains questions and answers on HDFS administration, monitoring and maintenance.
– HDFS Administration
– Monitoring HDFS
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– HDFS Maintenance
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9. Pig
The section contains questions 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
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– Data processing operators in Pig
– Pig in practice
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10. Hive and HBase
The section contains 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
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– Querying data with HiveQL-2
– Introduction to HBase
– Schema Design in HBase
– Metrics in Hbase
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11. ZooKeeper, Sqoop and Cassandra
The section contains questions 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
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– Sqoop with Hadoop-2
– Introduction to Cassandra
– Cassandra with Hadoop-1
– Cassandra with Hadoop-2
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12. Incubator Projects, Chuckwa, Ambari, Knox and Hadoop Development Tools
The section contains questions 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
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– Chuckwa with Hadoop-2
– Ambari with Hadoop
– Knox with Hadoop
– HDT with Hadoop
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13. Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift
The section contains questions 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
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– 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
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14. Oozie, Orchestration, Hadoop Libraries and Utilities and Miscellaneous Hadoop Applications
The sections covers questions 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
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– Hadoop Utilities-1
– Hadoop Utilities-2
– Local Hadoop Cloudera
– Hadoop on Microsoft Azure
– Amazon Elastic MapReduce
– Amazon EC2/S3 services
– IBM InfoSphere
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If you would like to learn Hadoop thoroughly, you should attempt to work on the complete set of questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.
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