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Welcome to the SQL Queries,Constraints and Triggers MCQs Page

Dive deep into the fascinating world of SQL Queries,Constraints and Triggers with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of SQL Queries,Constraints and Triggers, a crucial aspect of DBMS. In this section, you will encounter a diverse range of MCQs that cover various aspects of SQL Queries,Constraints and Triggers, 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 SQL Queries,Constraints and Triggers. 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 SQL Queries,Constraints and Triggers. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

SQL Queries,Constraints and Triggers MCQs | Page 15 of 17

Explore more Topics under DBMS

Discuss
Answer: (a).Online analytical processing
Q142.
Data that can be modeled as dimension attributes and measure attributes are called _______ data.
Discuss
Answer: (a).Multidimensional
Q143.
The generalization of cross-tab which is represented visually is ____________ which is also called as data cube.
Discuss
Answer: (a).Two dimensional cube
Q144.
The process of viewing the cross-tab (Single dimensional) with a fixed value of one attribute is
Discuss
Answer: (a).Slicing
Q145.
The operation of moving from finer-granularity data to a coarser granularity (by means of aggregation) is called a ________
Discuss
Answer: (a).Rollup
Q146.
In SQL the cross-tabs are created using
Discuss
Answer: (a).Slice
Q147.
{ (item name, color, clothes size), (item name, color), (item name, clothes size), (color, clothes size), (item name), (color), (clothes size), () }

This can be achieved by using which of the following ?
Discuss
Answer: (d).none of the mentioned
Q148.
What do data warehouses support?
Discuss
Answer: (a).OLAP
Q149.
How many grouping is possible in this rollup?
SELECT item name, color, clothes SIZE, SUM(quantity)
FROM sales
GROUP BY rollup(item name, color, clothes SIZE);

a.

8

b.

4

c.

2

d.

1

Discuss
Answer: (b).4
Discuss
Answer: (d).DECODE (expression, search, result [, search, result]โ€ฆ [, default])

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