Multiple Choice Distributed Systems Final Exam Solutions Gfs
Our 1000+ Hadoop MCQs (Multiple Choice Questions and Answers) focus on all areas of Hadoop covering 100+ topics. These topics are chosen from a collection of the most authoritative and best reference books on Hadoop. One should spend 1 hour daily practicing these MCQs for 2-3 months to learn and assimilate Hadoop subject comprehensively. This way of systematic learning will prepare anyone 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.
Basics of Hadoop | Mapreduce | HDFS – Hadoop Distributed File System | Hadoop I/O | Developing a MapReduce Application | Working of MapReduce | MapReduce Types and Formats | Administering Hadoop | Pig | Hive and HBase | ZooKeeper, Sqoop and Cassandra | Incubator Projects, Chuckwa, Ambari, Knox and Hadoop Development Tools | Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift | Oozie, Orchestration, Hadoop Libraries and Utilities and Miscellaneous Hadoop Applications
- Basics of Hadoop
- Mapreduce
- HDFS – Hadoop Distributed File System
- Hadoop I/O
- Developing a MapReduce Application
- Working of MapReduce
- MapReduce Types and Formats
- Administering Hadoop
- Pig
- Hive and HBase
- ZooKeeper, Sqoop and Cassandra
- Incubator Projects, Chuckwa, Ambari, Knox and Hadoop Development Tools
- Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift
- 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.
2. Mapreduce
The section contains questions and answers on mapreduce basics, data analyzing and hadoop streaming and scaling.
3. HDFS – Hadoop Distributed File System
The section contains MCQs on distributed file systems(HDFS), data flows and interfaces and archives of hadoop.
4. Hadoop I/O
The section contains multiple choice questions and answers on I/O and serialization, data integrity, compression and AVRO.
5. Developing a MapReduce Application
The section contains questions and answers on features and development of mapreduce.
6. Working of MapReduce
The section contains MCQs on mapreduce jobs, security, hadoop configuration and YARN.
7. MapReduce Types and Formats
The section contains multiple choice questions and answers on mapreduce types and formats.
8. Administering Hadoop
The section contains questions and answers on HDFS administration and 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.
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.
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.
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.
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.
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.
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!
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter
Multiple Choice Distributed Systems Final Exam Solutions Gfs
Source: https://www.sanfoundry.com/1000-hadoop-questions-answers/