Explore the structure of databases with our Entity-Relationship Diagram! Database Trivia Quiz. Assess your understanding of logical database structuring through ER diagrams, entity sets, and relationship types. Perfect for students and professionals in database management and computer science.
Using generalization
Adding appropriate attributes
Using aggregation
None of the above
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Parent
Child
Subtype
Instance
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Underline
Double line
Double diamond
Double rectangle
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Specialization
Generalization
Categorization
All of the Above
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Top-down approach
Bottom-up approach
Left-right approach
None of the above
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Dashed line
Double line
Double rectangle
Circle
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ISA
AIS
ONIS
WHOIS
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Disjointness
Uniqueness
Special
Relational
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Total
Partial
Should be specified
Cannot be determined
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2NF
5NF
4NF
3NF
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Dependency preserving and lossless join
Lossless join but not dependency preserving
Dependency preserving but not lossless join
(d) not dependency preserving and not lossless join
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Zero
More than zero but less than that of an equivalent 3NF decompositionÂ
Proportional to the size of F+
Indeterminate
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1NF
2NF
3NF
NONE OF THE ABOVE
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In second normal form but not in third normal formÂ
In third normal form but not in BCNFÂ
In BCNF Â Â
In none of the above
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2NF
BCNF
3NF
4NF
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1NF only
3NF and hence also in 2NF and 1NFÂ
BCNF and hence also in 3NF, 2NF and 1NF
2NF and hence also in 1NF
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A prime attribute can be transitively dependent on a key in a BCNF relation.
Any relation with two attributes is in BCNF
A relation in which every key has only one attribute is in 2NF
A prime attribute can be transitively dependent on a key in a 3 NF relation.
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Both Book and Collection are in 3NF only
Book is in 2NF and Collection is in 3NF
Both Book and Collection are in BCNF
Both Book and Collection are in 2NF only
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Not in 2NF
In 3NF, but not in BCNF
In 2NF, but not in 3NF Â Â Â
In BCNF Â
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3
5
4
6
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In 2NF, but not in 3NF.Â
In 3NF, but not in BCNF.Â
In 1NF, but not in 2NF.Â
In BCNF.
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A → B.
A → C.
A → (B,C).
(B,C) → A.
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Tables
Rows
Relations
Attributes
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FD is covered by E
E is covered by F
F is covered by E
F+ is covered by E
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Lossy-join decomposition
Lossy decomposition
Lossless-join decomposition
Both a and b
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2
7
10
15
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Shrinking phase
Growing phase
Running phase
Initial phase
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Two phase locking
Two phase commit
Transaction locking
Checkpoints
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Serialiable schedule
Process waiting
Concurrency
Deadlock
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Atomicity
Durability
Isolation
Consistency
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Record controller
Exclusive lock
Authorization rule
Two phase lock
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Wait-die
Wait-wound
Wound-wait
Wait
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Both undo and redo
Undo but no redo
Redo but no undo
Neither undo nor redo
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A Serializable Schedule
A Schedule that is not conflict Serializable
A Conflict Serializable Schedule
A Schedule for which a precedence graph cannot be drawn
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Only S1 is conflict Serializable
Only S2 is conflict Serializable
Both S1 and S2 is conflict Serializable
Neither S1 nor S2 is conflict Serializable
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Atomicity
Consistency
Durability
Isolation
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RAID level 1
RAID level 2
RAID level 3
RAID level 4
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Buckets
Disk Pages
Blocks
Nodes
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Heap file organization
Sequential file organization
Clustering file organization
Hash file organization
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Databank
Database
Datafile
Datarecord
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High Resolution Video Display
Printer
High Speed Large Capacity Disk
Mouse
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EXISTS operator
NOT operator
IS NULL operator
None of these
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ALTER TABLE
MODIFY TABLE
CHANGE TABLE
All of the above
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All views are not updatable
The views may be referenced in an SQL statement whenever tables are referenced
The views are instantiated at the time they are referenced and not when they are defined
The definition of a view should not have GROUP BY clause in it
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SELECT city FROM weather ORDER BY temperature;
SELECT city, temperature FROM weather;
SELECT city, temperature FROM weather ORDER BY temperature;
SELECT city, temperature FROM weather ORDER BY city;
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SELECT city, temperature, condition FROM weather WHERE condition NOT IN ('sunny', 'cloudy');
SELECT city, temperature, condition FROM weather WHERE condition NOT BETWEEN ('sunny', 'cloudy');
SELECT city, temperature, condition FROM weather WHERE condition IN ('sunny', 'cloudy');
SELECT city, temperature, condition FROM weather WHERE condition BETWEEN ('sunny', 'cloudy');
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There is common sharing of data among the various applications
It is file oriented
Programs are dependent on the file
It is inflexible
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Metadata
Hyperdata
Teradata
None of these
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