AZ-204 Developing for Microsoft Azure Exam Prep - Setting Data Consistency Options

The video tutorial explains different data consistency models in distributed systems, focusing on Microsoft Cosmos DB. It covers strong consistency, bounded staleness, session consistency, consistent prefix, and eventual consistency. Each model's characteristics, advantages, and suitable use cases are discussed, helping viewers understand when to apply each model based on their data requirements.

What is the concept of strong consistency and how does it ensure data availability across regions?

Explain the concept of bounded staleness and how it can be applied in a database system.

Describe session consistency and how it differs from strong consistency.

What is consistent prefix and how does it guarantee the order of data updates?

Define eventual consistency and provide an example of when it might be used.

In what scenarios would you prefer strong consistency over eventual consistency?

How does the choice of consistency model impact the performance of a database system?