AWS Solutions Architect Associate (SAA-C02) Exam Prep Course - 2021 UPDATED! - Database Types

The video tutorial provides an overview of database concepts within AWS, focusing on hosted services, custom instance installs, and the differences between flat file and relational databases. It introduces NoSQL databases, particularly DynamoDB, and discusses data warehouses with a focus on AWS Redshift. The tutorial aims to help viewers understand how to choose and implement the right database solutions in AWS.

What is the primary goal of understanding database concepts in AWS solutions?

• To increase the speed of AWS deployment

• To choose and implement the right databases

• To eliminate the need for database management

• To reduce the cost of AWS services

Which of the following is NOT a relational database service offered by AWS?

• Aurora

• DynamoDB

• Microsoft SQL Server

• Oracle

What does BYOL stand for in the context of AWS custom instance installs?

• Bring Your Own License

• Bring Your Own Laptop

• Buy Your Own License

• Build Your Own Logic

How do flat file databases differ from relational databases?

• Relational databases do not use unique identifiers

• Flat file databases have repeated information and redundancies

• Relational databases store data in a single table

• Flat file databases use multiple tables

What is a key feature of NoSQL databases like DynamoDB?

• They are based on SQL design theory

• They support fast transactions

• They require complex queries

• They are only used for small datasets

Why are data warehouses like AWS Redshift used?

• For storing small amounts of data

• For online analytical processing and business intelligence

• For reducing data redundancy

• For real-time data processing

What problem did Amazon face that led to the creation of DynamoDB?

• Inability to scale storage

• Lack of data security

• Slow transaction speeds during peak times

• High operational costs