Hadoop Questions and Answers – Kafka with Hadoop – 1

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Kafka with Hadoop – 1”. 1. Kafka is comparable to traditional messaging systems such as _____________ a) Impala b) ActiveMQ c) BigTop d) Zookeeper 2. Point out the correct statement. a) The original use case for Kafka was to be able to rebuild … Read more

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Hadoop Questions and Answers – Storm

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Storm”. 1. ____________ is a distributed real-time computation system for processing large volumes of high-velocity data. a) Kafka b) Storm c) Lucene d) BigTop 2. Point out the correct statement. a) A Storm topology consumes streams of data and processes those streams in … Read more

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Hadoop Questions and Answers – Impala

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Impala”. 1. __________ is a fully integrated, state-of-the-art analytic database architected specifically to leverage strengths of Hadoop. a) Oozie b) Impala c) Lucene d) BigTop 2. Point out the correct statement. a) With Impala, more users, whether using SQL queries or BI applications, … Read more

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Hadoop Questions and Answers – BigTop

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “BigTop”. 1. Which of the following is project for Infrastructure Engineers and Data Scientists? a) Impala b) BigTop c) Oozie d) Flume 2. Point out the correct statement. a) Bigtop provides an integrated smoke testing framework, alongside a suite of over 10 test … Read more

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Hadoop Questions and Answers – Orchestration in Hadoop

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Orchestration in Hadoop”. 1. A collection of various actions in a control dependency DAG is referred to as ________________ a) workflow b) dataflow c) clientflow d) none of the mentioned 2. Point out the correct statement. a) Large datasets are incentives for users … Read more

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Hadoop Questions and Answers – Oozie with Hadoop – 3

This set of Interview Questions & Answers focuses on “Oozie with Hadoop – 3”. 1. A ___________ node enables a workflow to make a selection on the execution path to follow. a) fork b) decision c) start d) none of the mentioned 2. Point out the correct statement. a) Predicates are JSP Expression Language (EL) … Read more

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Hadoop Questions and Answers – Oozie with Hadoop – 2

This set of Interview Questions & Answers focuses on “Oozie with Hadoop – 2”. 1. ___________ nodes are the mechanism by which a workflow triggers the execution of a computation/processing task. a) Server b) Client c) Mechanism d) Action 2. Point out the correct statement. a) Oozie is a Java Web-Application that runs in a … Read more

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Hadoop Questions and Answers – Oozie with Hadoop – 1

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Oozie with Hadoop – 1”. 1. __________ is a server based Bundle Engine that provides a higher-level oozie abstraction that will batch a set of coordinator applications. a) Oozie v2 b) Oozie v3 c) Oozie v4 d) Oozie v5 2. Point out the … Read more

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Hadoop Questions and Answers – Thrift with Hadoop – 2

This set of Interview Questions & Answers focuses on “Thrift with Hadoop – 2”. 1. _______ transport is required when using a non-blocking server. a) TZlibTransport b) TFramedTransport c) TMemoryTransport d) None of the mentioned 2. Point out the correct statement. a) To create a Mahout service, one has to write Thrift files that describe … Read more

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Hadoop Questions and Answers – Thrift with Hadoop – 1

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Thrift with Hadoop – 1”. 1. Which of the following project is interface definition language for hadoop? a) Oozie b) Mahout c) Thrift d) Impala 2. Point out the correct statement. a) Thrift is developed for scalable cross-language services development b) Thrift includes … Read more

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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