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Databases Practice Exam

Databases Practice Exam


Database basically refers to a cluster of data and the way it is organised. This data is usually accessed by the “Database Management System” (DBMS) that consist of an integrated set of computer software that allows the users to interact with other databases. Learning and having expertise in databases is in great demand by companies since, they require professionals to organise, store, analyse, retrieve, modify and delete the useless data from the computer systems. They can be easily managed, updated, and organised.


Who should take this exam?

Candidates who are interested in the IT sector can take this exam. This exam will upgrade your skills. Even students can take up this exam to develop SQL skills.


Skills Required

• Problem-solving skills.

• Good organisational skills.

• Communication and interpersonal skills.

• SQL

• Basic computer knowledge


Career Prospects

• Software developer

• Web developer

• Hacker

• Data engineer

• Data analyst

• Data scientist


Table of Content

The databases practice exam covers topics including - 

DBMS Basics

• What is a Data?

• What is a Database?

• What is DBMS or Database Management System?

• Learning DBMS vs RDBMS vs File System

• Client/Server Basics

• Learning DBMS Architecture

• Learning Data Models

• Data Schemas

• Learning Data Independence

• Learning ACID Property

Data Modelling

• Learning Entity Relationship (E-R) Model

• Learning DBMS Keys

• Mapping Constraints

• Learning DBMS Generalization

• DBMS Aggregation

• Learning ER Diagram Representation

Relational Data Model

• Relational Data Model

• Learning Codd's Rules for RDBMS

• Relational Algebra

• Learning Relational Calculus

• Integrity Constraints

• Learning ER to Relational Model

Relational Database Design

• Dependency (Functional and Multivalued)

• Learning DBMS Normalization

• Learning DBMS Normal Forms (1NF to 5NF)

• Database Joins

Data Storage and DBMS File Structure

• Learning File Organization (Sequential, Heap, Hash and B+)

• Learning DBMS ISAM

Indexing and Hashing

• Learning DBMS Indexing

• Learning Static and Dynamic Hashing

Transaction Processing

• Learning Transaction Processing

• Serializability

• Recoverability

• Log-Based Recovery

• Learning DBMS Checkpoint

• Learning Deadlock in DBMS

Concurrency Control

• Learning Concurrency Control Protocols

• Multiple Granularity

Backup and Recovery

• Data Backup

• Data Recovery

• Learning RAID

SQL

• Learning SQL Datatype

• Learning SQL Commands, Operators and Statements

• Learning SQL Clauses

• Learning SQL Aggregate Function

• Learning SQL JOIN

• Learning SQL Set Operation

• Learning SQL Query Processing

Open Source DBMS

• Learning MySQL

• PostgreSQL

Commercial DBMS

• Learning Microsoft Access

• Learning Microsoft SQL Server

• Learning Oracle

NoSQL or Big Data DBMS

• Learning Cassandra

• Learning HBase

• MongoDB

• Learning CouchDB

Cloud DBMS

• Learning AWS

• Learning GCP

• Learning Microsoft Azure


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