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Welcome to the Hadoop Libraries and Utilities MCQs Page

Dive deep into the fascinating world of Hadoop Libraries and Utilities with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop Libraries and Utilities, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop Libraries and Utilities, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

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Check out the MCQs below to embark on an enriching journey through Hadoop Libraries and Utilities. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop Libraries and Utilities. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop Libraries and Utilities MCQs | Page 5 of 18

Q41.
__________ is a fully integrated, state-of-the-art analytic database architected specifically to leverage strengths of Hadoop.
Discuss
Answer: (b).Impala
Q42.
Impala is an integrated part of a ____________ enterprise data hub.
Discuss
Answer: (c).Cloudera
Q43.
For Apache __________ users, Impala utilizes the same metadata.
Discuss
Answer: (b).Hive
Q44.
Impala is integrated with native Hadoop security and Kerberos for authentication via __________ module.
Discuss
Answer: (b).Sentry
Q45.
Which of the following companies shipped Impala?
Discuss
Answer: (d).All of the mentioned
Q46.
____________ analytics is a work in progress with Impala.
Discuss
Answer: (a).Reproductive
Q47.
Which of the following features is not provided by Impala?
Discuss
Answer: (b).ACID
Q48.
Which of the following hadoop file formats is supported by Impala?
Discuss
Answer: (d).All of the mentioned
Q49.
____________ is a distributed real-time computation system for processing large volumes of high-velocity data.
Discuss
Answer: (b).Storm
Q50.
Storm integrates with __________ via Apache Slider.
Discuss
Answer: (c).Compaction
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