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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