Big Data

An educational illustration showing the Hadoop architecture with elements of Big Data processing, featuring symbols for MapReduce, HDFS, and real-time data streaming. Use vibrant colors and a techy aesthetic.

Mastering Big Data with Hadoop

Test your knowledge of Big Data and Hadoop with our comprehensive quiz. This quiz challenges you with 10 questions on various aspects of Hadoop architecture, tools, and usage.

Whether you're a beginner or an experienced data engineer, this quiz offers:

  • Multiple choice questions
  • Insightful references to key Hadoop components
  • Engaging learning experience
10 Questions2 MinutesCreated by AnalyzingData101
1. Point out the correct statement :
A. Hadoop do need specialized hardware to process the data
B. Hadoop 2.0 allows live stream processing of real time data
C. In Hadoop programming framework output files are divided in to lines or records
D. None of the mentioned
2. Hadoop is a framework that works with a variety of related tools. Common cohorts include:
A. MapReduce, Hive and HBase
B. MapReduce, MySQL and Google Apps
C. MapReduce, Hummer and Iguana
D. MapReduce, Heron and Trumpet
3. All of the following accurately describe Hadoop, EXCEPT:
A. Open source
B. Real-time
C. java-based
D. Distributed computing approach
4. __________ has the world’s largest Hadoop cluster.
A. Apple
B. Datamatics
C. Facebook
D. None of the mentioned
5. Point out the correct statement :
A. Hive is not a relational database, but a query engine that supports the parts of SQL specific to querying data
B. Hive is a relational database with SQL support
C. Pig is a relational database with SQL support
D. All of the mentioned
6. ________ is the most popular high-level Java API in Hadoop Ecosystem.
A. Scalding
B. HCatalog
C. Cascalog
D. Cascading
7. ________ is a utility which allows users to create and run jobs with any executables as the mapper and/or the reducer.
A. Hadoop Strdata
B. Hadoop Streaming
C. Hadoop Stream
D. None of the mentioned
8. Point out the wrong statement :
A. Elastic MapReduce (EMR) is Facebook’s packaged Hadoop offering
B. Amazon Web Service Elastic MapReduce (EMR) is Amazon’s packaged Hadoop offering
C. Scalding is a Scala API on top of Cascading that removes most Java boilerplate
D. All of the mentioned
9. HDFS provides a command line interface called __________ used to interact with HDFS.
A. “HDFS Shell”
B. “FS Shell”
C. “DFS Shell”
D. None of the mentioned
10. _________ is the default Partitioner for partitioning key space.
A. HashPar
B. Partitioner
C. HashPartitioner
D. None of the mentioned
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