28 + Interview Questions in Basics of Hadoop in Hadoop Page 1 InterviewSolution

1.	_______ jobs are optimized for scalability but not latency.(a) Mapreduce(b) Drill(c) Oozie(d) HiveI got this question by my school principal while I was bunking the class.I'd like to ask this question from Hadoop Ecosystem topic in chapter Basics of Hadoop of Hadoop
Answer» Correct ANSWER is (d) Hive To EXPLAIN: Hive QUERIES are TRANSLATED to MAPREDUCE jobs to exploit the scalability of MapReduce.

Discussion

2.	The Pig Latin scripting language is not only a higher-level data flow language but also has operators similar to ____________(a) SQL(b) JSON(c) XML(d) All of the mentionedThis question was addressed to me during an internship interview.My doubt stems from Hadoop Ecosystem topic in division Basics of Hadoop of Hadoop
Answer» CORRECT answer is (a) SQL The explanation is: Pig Latin, in essence, is designed to fill the GAP between the DECLARATIVE STYLE of SQL and the low-level procedural style of MapReduce.

Discussion

3.	___________ is general-purpose computing model and runtime system for distributed data analytics.(a) Mapreduce(b) Drill(c) Oozie(d) None of the mentionedThe question was asked in examination.I'd like to ask this question from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop
Answer» RIGHT OPTION is (a) Mapreduce The explanation is: Mapreduce provides a flexible and scalable foundation for ANALYTICS, from TRADITIONAL reporting to leading-edge machine learning algorithms.

Discussion

4.	________ is the most popular high-level Java API in Hadoop Ecosystem(a) Scalding(b) HCatalog(c) Cascalog(d) CascadingI got this question in quiz.My question comes from Hadoop Ecosystem topic in division Basics of Hadoop of Hadoop
Answer» Right answer is (d) Cascading Easiest explanation: Cascading HIDES MANY of the complexities of MapReduce PROGRAMMING behind more intuitive pipes and data flow abstractions.

Discussion

5.	Hive also support custom extensions written in ____________(a) C#(b) Java(c) C(d) C++The question was posed to me at a job interview.I want to ask this question from Hadoop Ecosystem in section Basics of Hadoop of Hadoop
Answer» The correct ANSWER is (b) Java Easiest EXPLANATION: Hive also supports CUSTOM EXTENSIONS written in Java, including user-defined functions (UDFs) and serializer-deserializers for reading and optionally writing custom formats.

Discussion

6.	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 mentionedI have been asked this question in an international level competition.This intriguing question originated from Hadoop Ecosystem in chapter Basics of Hadoop of Hadoop
Answer» Correct answer is (a) Elastic MAPREDUCE (EMR) is Facebook’s packaged Hadoop offering Best explanation: RATHER than building Hadoop deployments manually on EC2 (Elastic Compute Cloud) clusters, users can spin up fully CONFIGURED Hadoop installations USING simple invocation commands, either through the AWS Web Console or through command-line tools.

Discussion

7.	_________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.(a) Scalding(b) HCatalog(c) Cascalog(d) All of the mentionedThe question was asked at a job interview.This intriguing question originated from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop
Answer» Right answer is (c) CASCALOG To ELABORATE: Cascalog also adds Logic PROGRAMMING concepts inspired by Datalog. Hence the NAME “Cascalog” is a CONTRACTION of Cascading and Datalog.

Discussion

8.	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 isa relational database with SQL support(c) Pig is a relational database with SQL support(d) All of the mentionedI had been asked this question in homework.I'd like to ask this question from Hadoop Ecosystem in division Basics of Hadoop of Hadoop
Answer» Right OPTION is (a) HIVE is not a relational database, but a query engine that supports the parts of SQL specific to querying data To explain I would SAY: Hive is a SQL-based data WAREHOUSE system for Hadoop that facilitates data summarization, ad hoc queries, and the analysis of large datasets stored in Hadoop-compatible file systems.

Discussion

9.	__________ has the world’s largest Hadoop cluster.(a) Apple(b) Datamatics(c) Facebook(d) None of the mentionedThis question was addressed to me in my homework.This interesting question is from Big Data in section Basics of Hadoop of Hadoop
Answer» Correct answer is (c) Facebook To EXPLAIN I would SAY: Facebook has many Hadoop CLUSTERS, the LARGEST among them is the ONE that is used for Data warehousing.

Discussion

10.	________ is a platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets.(a) Pig Latin(b) Oozie(c) Pig(d) HiveThe question was posed to me in examination.My question is taken from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop
Answer» Correct choice is (C) Pig Best explanation: Apache Pig is a platform for analyzing LARGE DATA SETS that consists of a high-level language for expressing data analysis PROGRAMS.

Discussion

11.	__________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.(a) MapReduce(b) Mahout(c) Oozie(d) All of the mentionedThe question was asked in an online interview.The question is from Big Data topic in chapter Basics of Hadoop of Hadoop
Answer» RIGHT choice is (a) MapReduce To explain: MapReduce is a programming model and an associated implementation for processing and GENERATING LARGE data sets with a parallel, DISTRIBUTED algorithm.

Discussion

12.	All of the following accurately describe Hadoop, EXCEPT ____________(a) Open-source(b) Real-time(c) Java-based(d) Distributed computing approachThis question was addressed to me in quiz.My query is from Big Data topic in chapter Basics of Hadoop of Hadoop
Answer» Right OPTION is (B) Real-time Easiest EXPLANATION: APACHE Hadoop is an open-source SOFTWARE framework for distributed storage and distributed processing of Big Data on clusters of commodity hardware.

Discussion

13.	What was Hadoop named after?(a) Creator Doug Cutting’s favorite circus act(b) Cutting’s high school rock band(c) The toy elephant of Cutting’s son(d) A sound Cutting’s laptop made during Hadoop developmentThe question was posed to me during an interview.I'm obligated to ask this question of Big Data in section Basics of Hadoop of Hadoop
Answer» RIGHT option is (c) The toy ELEPHANT of Cutting’s son Best explanation: Doug Cutting, HADOOP creator, NAMED the framework after his CHILD’s stuffed toy elephant.

Discussion

14.	Point out the wrong statement.(a) Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data(b) Hadoop uses a programming model called “MapReduce”, all the programs should conform to this model in order to work on the Hadoop platform(c) The programming model, MapReduce, used by Hadoop is difficult to write and test(d) All of the mentionedThe question was posed to me in an internship interview.The doubt is from Big Data in portion Basics of Hadoop of Hadoop
Answer» Correct answer is (c) The programming model, MapReduce, used by Hadoop is difficult to write and test The EXPLANATION: The programming model, MapReduce, used by Hadoop is SIMPLE to write and test.

Discussion

15.	According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?(a) Big data management and data mining(b) Data warehousing and business intelligence(c) Management of Hadoop clusters(d) Collecting and storing unstructured dataThis question was posed to me in an international level competition.Query is from Big Data topic in division Basics of Hadoop of Hadoop
Answer» Correct choice is (a) Big DATA MANAGEMENT and data mining To explain I would say: Data warehousing integrated with Hadoop would give a BETTER UNDERSTANDING of data.

Discussion

16.	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 TrumpetThe question was asked in class test.I want to ask this question from Big Data in division Basics of Hadoop of Hadoop
Answer» The CORRECT answer is (a) MapReduce, Hive and HBASE Easy explanation: To use Hive with HBase you’ll typically want to LAUNCH two clusters, ONE to run HBase and the other to run Hive.

Discussion

17.	As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including _______________(a) Improved data storage and information retrieval(b) Improved extract, transform and load features for data integration(c) Improved data warehousing functionality(d) Improved security, workload management, and SQL supportThe question was posed to me in homework.Question is from Big Data topic in portion Basics of Hadoop of Hadoop
Answer» Correct choice is (d) Improved security, workload MANAGEMENT, and SQL support The best EXPLANATION: Adding security to Hadoop is challenging because all the interactions do not follow the CLASSIC client-server PATTERN.

Discussion

18.	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 the Hadoop programming framework output files are divided into lines or records(d) None of the mentionedThis question was addressed to me in a national level competition.This intriguing question comes from Big Data topic in portion Basics of Hadoop of Hadoop
Answer» Correct ANSWER is (b) Hadoop 2.0 allows LIVE stream processing of real-time data Easiest explanation: Hadoop BATCH processes data distributed over a number of computers ranging in 100s and 1000s.

Discussion

19.	The Hadoop list includes the HBase database, the Apache Mahout ________ system, and matrix operations.(a) Machine learning(b) Pattern recognition(c) Statistical classification(d) Artificial intelligenceThe question was posed to me in examination.Question is taken from History of Hadoop topic in division Basics of Hadoop of Hadoop
Answer» RIGHT option is (a) Machine learning Easiest explanation: The APACHE Mahout PROJECT’s GOAL is to build a scalable machine learning tool.

Discussion

20.	Above the file systems comes the ________ engine, which consists of one Job Tracker, to which client applications submit MapReduce jobs.(a) MapReduce(b) Google(c) Functional programming(d) FacebookThe question was posed to me in an internship interview.This interesting question is from History of Hadoop in portion Basics of Hadoop of Hadoop
Answer» The correct option is (a) MAPREDUCE The best EXPLANATION: MapReduce engine USES to DISTRIBUTE work around a cluster.

Discussion

21.	Hadoop achieves reliability by replicating the data across multiple hosts and hence does not require ________ storage on hosts.(a) RAID(b) Standard RAID levels(c) ZFS(d) Operating systemThe question was asked in homework.My enquiry is from History of Hadoop topic in portion Basics of Hadoop of Hadoop
Answer» CORRECT answer is (a) RAID To ELABORATE: With the default replication value, 3, data is stored on three nodes: two on the same rack, and ONE on a DIFFERENT rack.

Discussion

22.	Which of the following platforms does Hadoop run on?(a) Bare metal(b) Debian(c) Cross-platform(d) Unix-likeThis question was addressed to me in homework.This interesting question is from History of Hadoop in division Basics of Hadoop of Hadoop
Answer» CORRECT option is (c) Cross-platform The BEST EXPLANATION: Hadoop has support for cross-platform OPERATING system.

Discussion

23.	What was Hadoop written in?(a) Java (software platform)(b) Perl(c) Java (programming language)(d) Lua (programming language)This question was addressed to me during a job interview.The origin of the question is History of Hadoop in section Basics of Hadoop of Hadoop
Answer» Correct answer is (C) Java (programming LANGUAGE) The best I can explain: The Hadoop framework itself is mostly WRITTEN in the Java programming language, with some native code in C and command-line UTILITIES written as shell scripts.

Discussion

24.	Sun also has the Hadoop Live CD ________ project, which allows running a fully functional Hadoop cluster using a live CD.(a) OpenOffice.org(b) OpenSolaris(c) GNU(d) LinuxThis question was addressed to me by my school teacher while I was bunking the class.The query is from History of Hadoop in section Basics of Hadoop of Hadoop
Answer» The correct ANSWER is (b) OpenSolaris Best explanation: The OpenSolaris HADOOP LiveCD project BUILT a bootable CD-ROM image.

Discussion

25.	Which of the following genres does Hadoop produce?(a) Distributed file system(b) JAX-RS(c) Java Message Service(d) Relational Database Management SystemThis question was posed to me by my school teacher while I was bunking the class.This is a very interesting question from History of Hadoop in division Basics of Hadoop of Hadoop
Answer» Right answer is (a) Distributed file system For explanation I WOULD say: The HADOOP Distributed File System (HDFS) is designed to store very large DATA sets RELIABLY, and to stream those data sets at high bandwidth to the user.

Discussion

26.	What license is Hadoop distributed under?(a) Apache License 2.0(b) Mozilla Public License(c) Shareware(d) CommercialThis question was addressed to me in an interview for job.I'm obligated to ask this question of History of Hadoop in division Basics of Hadoop of Hadoop
Answer» Right OPTION is (a) Apache LICENSE 2.0 The explanation is: Hadoop is Open SOURCE, RELEASED under Apache 2 license.

Discussion

27.	Point out the correct statement.(a) Hadoop is an ideal environment for extracting and transforming small volumes of data(b) Hadoop stores data in HDFS and supports data compression/decompression(c) The Giraph framework is lessuseful than a MapReduce job to solve graph and machine learning(d) None of the mentionedThis question was addressed to me in semester exam.This intriguing question originated from History of Hadoop in portion Basics of Hadoop of Hadoop
Answer» Correct option is (b) Hadoop STORES data in HDFS and SUPPORTS data compression/decompression To explain I would say: Data compression can be ACHIEVED using compression algorithms like bzip2, gzip, LZO, etc. Different algorithms can be used in different scenarios based on their capabilities.

Discussion

28.	IBM and ________ have announced a major initiative to use Hadoop to support university courses in distributed computer programming.(a) Google Latitude(b) Android (operating system)(c) Google Variations(d) GoogleI had been asked this question in a national level competition.My query is from History of Hadoop topic in section Basics of Hadoop of Hadoop
Answer» CORRECT answer is (d) Google Explanation: Google and IBM Announce University INITIATIVE to ADDRESS Internet-Scale.

Discussion

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_______ jobs are optimized for scalability but not latency.(a) Mapreduce(b) Drill(c) Oozie(d) HiveI got this question by my school principal while I was bunking the class.I'd like to ask this question from Hadoop Ecosystem topic in chapter Basics of Hadoop of Hadoop

___________ is general-purpose computing model and runtime system for distributed data analytics.(a) Mapreduce(b) Drill(c) Oozie(d) None of the mentionedThe question was asked in examination.I'd like to ask this question from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop

________ is the most popular high-level Java API in Hadoop Ecosystem(a) Scalding(b) HCatalog(c) Cascalog(d) CascadingI got this question in quiz.My question comes from Hadoop Ecosystem topic in division Basics of Hadoop of Hadoop

Hive also support custom extensions written in ____________(a) C#(b) Java(c) C(d) C++The question was posed to me at a job interview.I want to ask this question from Hadoop Ecosystem in section Basics of Hadoop of Hadoop

_________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.(a) Scalding(b) HCatalog(c) Cascalog(d) All of the mentionedThe question was asked at a job interview.This intriguing question originated from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop

__________ has the world’s largest Hadoop cluster.(a) Apple(b) Datamatics(c) Facebook(d) None of the mentionedThis question was addressed to me in my homework.This interesting question is from Big Data in section Basics of Hadoop of Hadoop

________ is a platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets.(a) Pig Latin(b) Oozie(c) Pig(d) HiveThe question was posed to me in examination.My question is taken from Hadoop Ecosystem topic in section Basics of Hadoop of Hadoop

All of the following accurately describe Hadoop, EXCEPT ____________(a) Open-source(b) Real-time(c) Java-based(d) Distributed computing approachThis question was addressed to me in quiz.My query is from Big Data topic in chapter Basics of Hadoop of Hadoop

Which of the following platforms does Hadoop run on?(a) Bare metal(b) Debian(c) Cross-platform(d) Unix-likeThis question was addressed to me in homework.This interesting question is from History of Hadoop in division Basics of Hadoop of Hadoop

What was Hadoop written in?(a) Java (software platform)(b) Perl(c) Java (programming language)(d) Lua (programming language)This question was addressed to me during a job interview.The origin of the question is History of Hadoop in section Basics of Hadoop of Hadoop

What license is Hadoop distributed under?(a) Apache License 2.0(b) Mozilla Public License(c) Shareware(d) CommercialThis question was addressed to me in an interview for job.I'm obligated to ask this question of History of Hadoop in division Basics of Hadoop of Hadoop