Introduction To Hadoop MCQ

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• According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?
  ক

  Big data management and data mining

  খ

  Data warehousing and business intelligence

  গ

  Management of Hadoop clusters

  ঘ

  Collecting and storing unstructured data
• . . . . . . . . jobs are optimized for scalability but not latency.
  ক

  Mapreduce

  খ

  Drill

  গ

  Oozie

  ঘ

  Hive
• . . . . . . . . is a platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets.
  ক

  Pig Latin

  খ

  Oozie

  গ

  Pig

  ঘ

  Hive
• The Pig Latin scripting language is not only a higher-level data flow language but also has operators similar to . . . . . . . .
  ক

  SQL

  খ

  JSON

  গ

  XML

  ঘ

  All of the mentioned
• . . . . . . . . hides the limitations of Java behind a powerful and concise Clojure API for Cascading.
  ক

  Scalding

  খ

  HCatalog

  গ

  Cascalog

  ঘ

  All of the mentioned
• Hive also support custom extensions written in . . . . . . . .
  ক

  C#

  খ

  Java

  গ

  C

  ঘ

  C++
• . . . . . . . . can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.
  ক

  MapReduce

  খ

  Mahout

  গ

  Oozie

  ঘ

  All of the mentioned
• Hadoop is a framework that works with a variety of related tools. Common cohorts include . . . . . . . .
  ক

  MapReduce, Hive and HBase

  খ

  MapReduce, MySQL and Google Apps

  গ

  MapReduce, Hummer and Iguana

  ঘ

  MapReduce, Heron and Trumpet
• . . . . . . . . is general-purpose computing model and runtime system for distributed data analytics.
  ক

  Mapreduce

  খ

  Drill

  গ

  Oozie

  ঘ

  None of the mentioned
• As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including . . . . . . . .
  ক

  Improved data storage and information retrieval

  খ

  Improved extract, transform and load features for data integration

  গ

  Improved data warehousing functionality

  ঘ

  Improved security, workload management, and SQL support
• . . . . . . . . has the world's largest Hadoop cluster.
  ক

  Apple

  খ

  Datamatics

  গ

  Facebook

  ঘ

  None of the mentioned
• Facebook Tackles Big Data With . . . . . . . . based on Hadoop.
  ক

  'Project Prism'

  খ

  'Prism'

  গ

  'Project Big'

  ঘ

  'Project Data'
• . . . . . . . . is the most popular high-level Java API in Hadoop Ecosystem
  ক

  Scalding

  খ

  HCatalog

  গ

  Cascalog

  ঘ

  Cascading
• Above the file systems comes the . . . . . . . . engine, which consists of one Job Tracker, to which client applications submit MapReduce jobs.
  ক

  MapReduce

  খ

  Google

  গ

  Functional programming

  ঘ

  Facebook
• All of the following accurately describe Hadoop, EXCEPT . . . . . . . .
  ক

  Open-source

  খ

  Real-time

  গ

  Java-based

  ঘ

  Distributed computing approach
• . . . . . . . . is a framework for performing remote procedure calls and data serialization.
  ক

  Drill

  খ

  BigTop

  গ

  Avro

  ঘ

  Chukwa
• Which component of Hadoop is responsible for resource management?
  ক

  ResourceManager

  খ

  NameNode

  গ

  DataNode

  ঘ

  Secondary NameNode
• In Hadoop, what is the purpose of the Hadoop Distributed File System (HDFS)?
  ক

  Real-time data processing

  খ

  Store and manage large volumes of data

  গ

  Distribute computation resources

  ঘ

  Manage configuration files
• What is the function of the Hadoop ResourceManager?
  ক

  Manage resource allocation

  খ

  Store data blocks

  গ

  Execute MapReduce jobs

  ঘ

  Manage Hadoop ecosystem tools
• Which Apache project in Hadoop is designed for real-time data streaming?
  ক

  Spark

  খ

  Flume

  গ

  HBase

  ঘ

  Drill
• In Hadoop, what is the purpose of the DataNode?
  ক

  Store data blocks

  খ

  Manage computation resources

  গ

  Execute MapReduce jobs

  ঘ

  Manage HDFS metadata
• What is the role of the Hadoop JobTracker in MapReduce?
  ক

  Manage resource allocation

  খ

  Manage task execution in MapReduce jobs

  গ

  Manage HDFS metadata

  ঘ

  Manage ZooKeeper configurations
• Which Hadoop ecosystem tool is used for querying and analyzing large datasets?
  ক

  Pig

  খ

  Sqoop

  গ

  Hive

  ঘ

  HBase
• What is the purpose of the ResourceManager in Hadoop YARN?
  ক

  Manage storage layer

  খ

  Manage computation resources

  গ

  Execute MapReduce jobs

  ঘ

  Manage Hadoop ecosystem tools
• Which programming paradigm is central to Hadoop processing?
  ক

  Object-oriented programming (OOP)

  খ

  Procedural programming

  গ

  Declarative programming

  ঘ

  Functional programming
• What is the primary function of Apache ZooKeeper in Hadoop?
  ক

  Configuration management

  খ

  Real-time data processing

  গ

  High-speed data ingestion

  ঘ

  Data storage in HBase
• In the context of Hadoop, what does the term "shuffle" refer to?
  ক

  A data compression technique

  খ

  The process of distributing data to reducers

  গ

  A phase in MapReduce processing

  ঘ

  An optimization in HBase storage
• Which Hadoop ecosystem tool is used for managing and monitoring Hadoop clusters?
  ক

  Ambari

  খ

  Pig

  গ

  Drill

  ঘ

  Cassandra
• What is the main function of the Hadoop Distributed File System (HDFS)?
  ক

  Real-time data processing

  খ

  Store and manage large volumes of data

  গ

  Distribute computation resources

  ঘ

  Manage configuration files
• Which Apache project is used for workflow automation in Hadoop?
  ক

  Oozie

  খ

  Flume

  গ

  Spark

  ঘ

  NiFi