Introduction to DBMS – Adv – Teach To India

Teach To India

Introduction to DBMS – Adv

Exam Preparation for Introduction to DBMS: This model paper is designed for graduation students as per the latest National ... Show more
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Model Question Paper

Introduction to DBMS

 

Key Features

  • Unit-wise Short Notes 
    Each unit includes a summary in both languages, making revision faster and more effective.
  • Extensive MCQ Practice 
    1500+ MCQ Practice Questions: This comprehensive question bank includes 1500+ multiple-choice questions (MCQs). Each unit contains approximately 150 MCQs covering a wide range of cognitive levels such as remembering, understanding, application, and analysis.

  • Exam Practice Paper with Mock Tests 
    Includes three full-length mock tests for real exam practice. One mock test is free for students to assess the quality of our question paper.

  • Latest Syllabus as per NEP 
    The syllabus aligns with the latest National Education Policy (NEP) and follows the exam patterns of MSU, CCSU, and other universities following the NEP.

  • Designed by Experts 
    This question bank has been meticulously prepared by subject matter experts to ensure accuracy and relevance.

Why Choose This Model Paper?

  • Complete Exam Preparation: Unit-wise summaries, MCQ practice, and mock tests provide a complete study solution.
  • Latest NEP-Based Pattern: Ensures compliance with the latest university exam structure.

Program Class: Certificate/ BCA

Year: II

Semester: IV

Subject: BCA

Course Title: Introduction to DBMS

Credits: 4

Core Compulsory

Max. Marks: –25+75

Min. Passing Marks: 33

Unit

Topics

I

Introduction: Characteristics of database approach, data models, DBMS architecture and data independence.

II

E-R Modeling: Entity types, Entity set, attribute and key, relationships, relation types, roles and structural constraints, weak entities, enhanced E-R and object modeling, Sub classes; Super classes, inheritance, specialization and generalization.

III

File Organization: Indexed sequential access files; implementation using B & B++ trees, hashing, hashing functions, collision resolution, extendible hashing, dynamic hashing approach implementation and performance.

IV

Relational Data Model: Relational model concepts, relational constraints, relational alzebra SQL: SQL queries, programming using SQL.

V

EER and ER to relational mapping: Data base design using EER to relational anguage.

VI

Data Normalization: Functional Dependencies, Normal form up to 3rd normal form. Concurrency Control: Transaction processing, locking techniques and associated, database recovery, security and authorization. Recovery Techniques, Database Security

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