Welcome to the DBMS MCQs Page
Dive deep into the fascinating world of DBMS with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of DBMS, a crucial aspect of UGC CBSE NET Exam. In this section, you will encounter a diverse range of MCQs that cover various aspects of DBMS, 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 UGC CBSE NET Exam.
Check out the MCQs below to embark on an enriching journey through DBMS. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of UGC CBSE NET Exam.
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DBMS MCQs | Page 8 of 23
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One (x, y) = {<2, 5>, <1, 6>, <1, 6>, <1, 6>, <4, 8>, <4, 8>}
Two (x, y) = {<2, 55>, <1, 1>, <4, 4>, <1, 6>, <4, 8>, <4, 8>, <9, 9>, <1, 6>}
Consider the following two SQL queries SQ1 and SQ2:
SQ1 : SELECT * FROM One)
EXCEPT
(SELECT * FROM Two);
SQ2 : SELECT * FROM One)
EXCEPT ALL
(SELECT * FROM Two);
For each of the SQL queries, what is the cardinality (number of rows) of the result obtained when applied to the instances above?
List – I List – II
(Database term) (Definition)
I. Specialization A. Result of taking the union of two or more
disjoint (lower-level) entity sets to produce
a higher-level entity set.
II. Generalization B. Express the number of entities to which another
entity can be associated via a relationship set.
III. Aggregation C. Result of taking a subset of a higher-level
entity set to form a lower-level entity set.
IV. Mapping cardinalities D. An abstraction in which relationship sets (along
with their associated entity sets) are treated as
higher-level entity sets, and can participate in
relationships.
Codes :
I II III IV
I. πA,B(R⋈S)
II. R⋈πB(S)
III. R∩(πA(R) Χ πB(S))
IV. πA,R.B(R Χ S) where R.B refers to the column B in table R.
One can determine that:
D1: The decomposition of the schema R(A,B,C) into R1(A,B) and R2(A,C) is always lossless.
D2: The decomposition of the schema R(A,B,C,D,E) having AD→B, C→DE, B→AE, AE→C into R1(A,B,D) and R2(A,C,D,E) is lossless.
R(A,B,C) = {<1,2,3>, <1,2,0>, <1,3,1>, <6,2,3>, <1,4,2>, <3,1,4>}
S(B,C,D) = {<2,3,7>, <1,4,5>, <1,2,3>, <2,3,4>, <3,1,4>}
Consider the following two SQL queries SQ1 and SQ2:
SQ1: SELECT R.B, AVG(S.B)
FROM R, S
WHERE R.A = S.C AND S.D < 7
GROUP BY R.B;
SQ2: SELECT DISTINCT S.B, MIN (S.C)
FROM S
GROUP BY S.B
HAVING COUNT (DISTINCT S.D) > 1;
If M is the number of tuples returned by SQ1 and N is the number of tuples returned by SQ2 then
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