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Welcome to the Indexing and Hashing MCQs Page

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

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

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

Indexing and Hashing MCQs | Page 15 of 15

Explore more Topics under DBMS

Discuss
Answer: (a).How tables are related in the database
Discuss
Answer: (c).To deal with relationships that involve more than two tables
Q143.
Bitmap indices are a specialized type of index designed for easy querying on ___________
Discuss
Answer: (c).Multiple keys
Q144.
A _______ on the attribute A of relation r consists of one bitmap for each value that A can take.
Discuss
Answer: (a).Bitmap index
Q145.
SELECT *
FROM r
WHERE gender = ’f’ AND income level = ’L2’;

In this selection, we fetch the bitmaps for gender value f and the bitmap for income level value L2, and perform an ________ of the two bitmaps.
Discuss
Answer: (d).Intersection
Q146.
To identify the deleted records we use the ______________
Discuss
Answer: (a).Existence bitmap
Q147.
Bitmaps can be used as a compressed storage mechanism at the leaf nodes of ________ for those values that occur very frequently.
Discuss
Answer: (b).B+-trees
Q148.
Bitmaps can be combined with regular B+-tree indices for relations where a few attribute values are extremely common, and other values also occur, but much less frequently.
Discuss
Answer: (b).Bitmap, B+tree
Q149.
In a B+-tree index ______ for each value we would normally maintain a list of all records with that value for the indexed attribute.
Discuss
Answer: (a).Leaf
Q150.
If an index is _________________ the metadata and statistics continue to exists
Discuss
Answer: (a).Disabling

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