big data and hadoop

Big Data and Hadoop Free Certificate

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Hadoop enables clustering many computers to examine big datasets in parallel more quickly than using a single powerful machine for data storage and processing.

Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.

Get Big Data and Hadoop certificate from The Digital Adda which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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Question 1: Which type of data Hadoop can deal with is

  • Structured
  • Semi – structured
  • Unstructured
  • All of the above

Question 2: Hadoop Framework is written in

  • Python
  • Java
  • C++
  • Scala

Question 3: Which of the following platforms does Apache Hadoop run on ?

  • Bare metal
  • Unix-like
  • Cross-platform
  • Debian

Question 4: Which of the following is true about Hadoop?

  • Hadoop MapReduce processes the data at very low latency
  • Hadoop can’t handle structured data
  • Hadoop is schema-less – we don’t need to define a schema before writing the data
  • None of the above

Question 5: Which of the following is the correct statement:

  • Data locality means moving computation to data instead of data to computation
  • Data locality means moving data to computation instead of computation to data
  • Both the above
  • None of the above

Question 6: Which one of the following is false about Hadoop?

  • It is a distributed framework
  • The main algorithm used in Hadoop is Map Reduce
  • Hadoop can work with commodity hardware
  • All are true

Question 7: Which of the following is component of Hadoop?

  • YARN
  • HDFS
  • MapReduce
  • All of the above

Question 8: What license is Apache Hadoop distributed under?

  • Apache License 2.0
  • Shareware
  • Mozilla Public License
  • Commercial

Question 9: Which of the following is the daemon of Hadoop?

  • NameNode
  • Node manager
  • DataNode
  • All of the above

Question 10: Apache Hadoop achieves reliability by replicating the data across multiple hosts, and hence does not require __ storage on hosts.

  • Filesystem
  • RAID
  • Local FS
  • Operating system
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Question 11: Hadoop works in

  • Centralized processing fashion
  • master – slave fashion
  • worker/slave fashion
  • All of the mentioned

Question 12: Which of the following property gets configured on mapred-site.xml?

  • Replication factor
  • Java Environment variables
  • Directory names to store hdfs files
  • Which framework to use with MapReduce jobs

Question 13: The archive file created in Hadoop has the extension of

  • .hrh
  • .har
  • .hrc
  • .hrar

Question 14: Which of the below component deals with ingesting streaming data into Hadoop?

  • Flume
  • Oozie
  • Hive
  • Kafka

Question 15: As compared to RDBMS, Apache Hadoop

  • Has higher data Integrity
  • Does ACID transactions
  • Is suitable for read and write many times
  • Works better on unstructured and semi-structured data

Question 16: In which all languages you can code in Hadoop?

  • Java
  • Python
  • C++
  • All of the above

Question 17: Hadoop command to list all the blocks corresponding to each file in the hdfs?

  • hadoop fsck / -files -blocks
  • hadoop fsck / -blocks -files
  • hadoop ls / -blocks -files
  • hadoop fchk / -files -blocks

Question 18: Zookeeper is

  • Synchronization & coordination engine
  • NoSQL database
  • Data collection & aggregation system
  • Data processing engine

Question 19: All of the following accurately describe Hadoop, EXCEPT

  • Open source
  • Real-time data processing system
  • Java-based
  • Distributed computing approach

Question 20: Which tool is used to move data from RDBMS to HDFS?

  • Sqoop
  • Flume
  • Oozie
  • Drill

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