adplus-dvertising

Welcome to the Hive and HBase MCQs Page

Dive deep into the fascinating world of Hive and HBase with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hive and HBase, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hive and HBase, 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.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Hive and HBase. 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 Hive and HBase. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hive and HBase MCQs | Page 4 of 8

Explore more Topics under Hadoop

Q31.
________ was designed to overcome limitations of the other Hive file formats.
Discuss
Answer: (a).ORC
Q32.
An ORC file contains groups of row data called __________
Discuss
Answer: (b).stripes
Q33.
Serialization of string columns uses a ________ to form unique column values.
Discuss
Answer: (c).Dictionary
Q34.
_______ is a lossless data compression library that favors speed over compression ratio.
Discuss
Answer: (a).LOZ
Discuss
Answer: (a).SET hive.exec.compress.output=false
Q36.
Integral literals are assumed to be _________ by default.
Discuss
Answer: (b).INT
Q37.
Hive uses _____ style escaping within the strings.
Discuss
Answer: (a).C
Q38.
Which of the following statement will create a column with varchar datatype?
Discuss
Answer: (b).CREATE TABLE foo (bar VARCHAR(10))
Q39.
_________ will overwrite any existing data in the table or partition.
Discuss
Answer: (c).INSERT INTO
Q40.
Hive does not support literals for ______ types.
Discuss
Answer: (b).Complex
Page 4 of 8

Suggested Topics

Are you eager to expand your knowledge beyond Hadoop? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!