Design Microservices Architecture with Patterns and Principles - Problem: Multiple Request (N+1) for Retrieving Relation

The video tutorial addresses the challenges of designing Restful microservices, particularly the n+1 problem in retrieving relational data. It highlights the business need for displaying complex relational data and the limitations of Restful APIs in handling such requirements. As a solution, the tutorial introduces GraphQL, explaining its advantages in querying structural relational data efficiently.

What is the main problem discussed in the context of Restful microservices?

• High latency

• Multiple requests for relational data

• Lack of security

• Poor scalability

What is the n + 1 problem in Restful API design?

• A problem with data consistency

• A performance issue due to multiple data retrieval requests

• A security vulnerability

• An error in API versioning

Why is the design of Restful APIs considered complex when retrieving relational data?

• It lacks proper documentation

• It requires multiple API calls

• It does not support JSON format

• It is not compatible with modern databases

What is a key advantage of using GraphQL over Restful APIs?

• GraphQL is more secure

• GraphQL allows for more efficient data retrieval

• GraphQL is easier to learn

• GraphQL supports more programming languages

How does GraphQL handle relational data queries?

• By caching all data

• By using XML format

• By allowing a single query to fetch related data

• By using multiple endpoints