Design Microservices Architecture with Patterns and Principles - Evaluate Microservices Architecture with SAGA, Transact

Design Microservices Architecture with Patterns and Principles - Evaluate Microservices Architecture with SAGA, Transact

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial discusses the implementation of microservice architecture using SAGA, Outbox, and Change Data Capture patterns. It evaluates the benefits, such as data integrity, real-time synchronization, and scalability, while also addressing drawbacks like increased complexity, latency, and performance burdens. The tutorial concludes with an evaluation of an ecommerce application using these patterns.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the primary benefits of using the transactional outbox pattern in microservices?

It reduces the complexity of the system.

It ensures data integrity by preventing event publication if a transaction fails.

It increases the speed of data processing.

It eliminates the need for a database.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Change Data Capture contribute to real-time synchronization?

By creating duplicate entries in the database.

By using manual data entry methods.

By continuously monitoring and propagating changes from the transaction log.

By storing data in a separate database.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant drawback of implementing the Outbox pattern?

It simplifies the architecture.

It eliminates the need for message brokers.

It reduces the need for database transactions.

It increases system complexity and adds an additional layer of abstraction.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might the Outbox pattern introduce latency in event publishing?

Because events are stored in the outbox table and processed by the consumer, causing delays.

Because events are processed immediately.

Because it uses outdated technology.

Because it bypasses the database entirely.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What challenge does Change Data Capture face in environments with frequently changing database schemas?

It becomes difficult to ensure all relevant changes are captured.

It eliminates the need for schema updates.

It becomes easier to manage.

It requires less monitoring.