(SEM V) THEORY EXAMINATION 2024-25 DATABASE MANAGEMENT SYSTEM
Subject Code: BCS501
Maximum Marks: 70
Time: 3 Hours
Paper ID: 310120
Question Paper Overview
SECTION A (2 × 7 = 14 Marks)
(Short conceptual and definition-based questions)
a. Define candidate key and super key with example.
b. Differentiate between TRUNCATE and DELETE command.
c. Define triggers and mention their types.
d. Analyze and find the Functional Dependencies (FDs) in the given relation:
| X | Y | Z |
|---|---|---|
| 1 | 4 | 2 |
| 2 | 5 | 3 |
| 1 | 4 | 2 |
| 3 | 2 | 2 |
e. List all prime and non-prime attributes in Relation R(A,B,C,D,E) with FD set F = {AB → C, B → E, C → D}.
f. Explain properties of a transaction.
g. Define multiple granularity in concurrency control.
SECTION B (Attempt any three × 7 = 21 Marks)
a. Explain the architecture of DBMS with a neat diagram, describing its major components and layers.
b. Explain joins. Discuss all types of joins (inner, outer, left, right, self) with examples.
c. Given relation R(P,Q,S,T,X,Y,Z,W) and FDs:
PQ → X P → YX
Q → Y Y → ZW
Check if the given decompositions are lossy or lossless:
D₁: R = {(P,Q,S,T), (P,T,X), (Q,Y), (Y,Z,W)}
D₂: R = {(P,Q,S), (T,X), (Q,Y), (Y,Z,W)}
d. Explain types of transaction failures and describe recovery techniques using log files with examples.
e. Discuss concurrency control, its need, and explain the timestamp-based ordering protocol.
SECTION C (Attempt one part from each question × 7 = 35 Marks)
Q3
(a) Illustrate the concept of data independence (logical and physical) with examples.
OR
(b) Reduce the given ER diagram (University example) into relational tables:
Entities: Student(StudentID, Name, Email), Course(CourseID, CourseName, Credits), Enrollment(EnrollmentID, DateEnrolled)
Relationship: Many-to-Many between Student and Course via Enrollment.
Identify primary and foreign keys for each relation.
Q4
(a) SQL queries for Employee Database:
Tables: Employee(ename, street, city)
Worksfor(ename, company_name, salary) Company(company_name, city)
Tasks:
Create the tables with data types. Find employees who live and work in the same city.
Find employees with salary > ₹50,000. Find employees not working in ‘TCS’.
Find employees whose second letter in name is ‘A’. Find employee with second highest salary.
OR
(b) Relational Algebra (RA) queries using S(S#,SNAME,SCITY,TURNOVER), P(P#,WEIGHT,COLOR,COST,SELLING_PRICE), SP(S#,P#,QTY):
Get suppliers from Calcutta with TURNOVER = 80. Get part numbers with weight between 25 and 55.
Get part numbers with cost > selling price. Get part numbers with color red or black.
Get supplier name where S# = 101.
Q5
(a) For Library Database:
Relations – Book(Title, Author, Catalog_no, Publisher, Year, Price)
Collection(Title, Author, Catalog_no)
FDs –
Title, Author → Catalog_no
Catalog_no → Title, Author, Publisher, Year
Publisher, Title, Year → Price
➤ Find the highest normal form of both Book and Collection.
OR
(b) For relation R = {A,B,C,D,E,F,G,H,I,J} with FDs:
{A,B} → {C} {A} → {D,E} {B} → {F} {F} → {G,H} {D} → {I,J}
➤ Identify keys for R and define Multivalued Dependency (MVD) with example.
Q6
(a) Check if the given schedule is conflict serializable and view serializable:
S1: R1(X), R2(X), R2(Y), W2(Y), R1(Y), W1(X)
OR
(b) Define schedule and transaction. Explain recoverable, cascadeless, and strict schedules, comparing their recoverability.
Q7
(a) Explore: Multiversion protocol
Validation-based protocol
OR
(b) Explain deadlock. Discuss its necessary conditions, and detection/recovery mechanisms.
Key Topics for Revision
1. DBMS Architecture
Three-level architecture: External (User View)
Conceptual (Logical Schema) Internal (Physical Storage)
Provides data independence and abstraction layers.
2. Keys in Relational Model
| Key Type | Description | Example |
|---|---|---|
| Super Key | Unique identification | {RollNo, Name} |
| Candidate Key | Minimal super key | {RollNo} |
| Primary Key | Chosen candidate key | RollNo |
| Foreign Key | References another relation | DeptID in Employee references Department |
3. SQL Topics
DDL: CREATE, ALTER, DROP DML: SELECT, INSERT, UPDATE, DELETE
TRUNCATE vs DELETE:
TRUNCATE: removes all rows, faster, non-rollback. DELETE: removes selected rows, rollback possible.
4. Transaction Management
ACID Properties: Atomicity, Consistency, Isolation, Durability.
Concurrency Control: Locking, timestamp ordering, validation-based.
Recovery: Based on log files, checkpointing, and undo/redo methods.
5. Functional Dependencies & Normalization
FD: X → Y (Y depends on X). Prime Attribute: Part of candidate key.
Normal Forms:
1NF: Atomic values. 2NF: No partial dependency.
3NF: No transitive dependency. BCNF: Every determinant is a candidate key.
6. ER to Relational Mapping
Entities → Tables Attributes → Columns
Relationships → Foreign Keys Many-to-many → Separate linking table.
7. Relational Algebra
Operations include:
Selection (σ) Projection (π)
Join (⨝) Union (∪)
Difference (−)
8. Concurrency & Deadlock
Deadlock Conditions:
Mutual exclusion Hold and wait
No preemption Circular wait
Solutions: Prevention, detection, recovery (rollback).
9. Schedules
| Type | Description |
|---|---|
| Recoverable | Committed after dependencies commit. |
| Cascadeless | Avoid cascading rollbacks. |
| Strict | Write only after previous transactions commit. |
10. Protocols
Multiversion Protocol: Maintains multiple versions of data items.
Validation Protocol: Validation phase checks serializability before commit.
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