AWS Certified Solutions Architect Associate (SAA-C03) - Relational Databases

The video tutorial provides an in-depth understanding of relational databases in AWS. It covers the structure of relational databases, including tables and their relationships, and explains key terminology such as rows, columns, and views. The tutorial also delves into the concepts of primary and foreign keys, and how they facilitate table relationships. Additionally, it discusses normalization, its stages, and its impact on database performance, helping viewers understand when to use normalized or denormalized structures.

What is the primary purpose of using tables in a relational database?

• To store data in a flat structure

• To simplify data entry

• To relate data across different tables

• To increase data redundancy

In relational databases, what is another term for a 'row'?

• Entity

• Tuple

• Attribute

• Relation

What is a 'view' in the context of relational databases?

• A method for data entry

• A type of primary key

• A saved SQL query result

• A physical table storing data

What is the role of a primary key in a table?

• To uniquely identify each record

• To store metadata

• To serve as a foreign key

• To allow duplicate entries

How does a foreign key function in a relational database?

• It is a type of index for faster searches

• It is used to store large text data

• It references a primary key in another table

• It uniquely identifies records within its own table

What is the main goal of normalization in relational databases?

• To increase data redundancy

• To optimize data storage and reduce redundancy

• To simplify database queries

• To enhance data visualization

What is a potential downside of a highly normalized database?

• Slower write operations

• Slower read operations

• Simplified data structure

• Increased data redundancy