Design Microservices Architecture with Patterns and Principles - CDC - Change Data Capture with Outbox Pattern

Design Microservices Architecture with Patterns and Principles - CDC - Change Data Capture with Outbox Pattern

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial explains the use of Change Data Capture (CDC) in combination with the Artbox pattern to synchronize data between microservices. It introduces the Outbox pattern, which helps decouple data updates from propagation processes, using an e-commerce application as an example. The tutorial details the implementation of CDC with log-based approaches, highlighting the use of Debezium connectors for database integration and real-time event streaming to Apache Kafka.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of the Artbox pattern in microservices?

To ensure data changes are propagated to dependent microservices

To manage user authentication across services

To replace the need for a service registry

To store all microservice data in a single database

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the Outbox pattern help in microservice architectures?

It allows microservices to decouple data updates from their propagation

It ensures all microservices use the same programming language

It eliminates the need for a database

It provides a centralized logging system

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the e-commerce example, what does Change Data Capture track?

Shipment tracking numbers

User login attempts

Changes in the order table

Inventory levels

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key step in implementing the Outbox pattern?

Storing all data in a NoSQL database

Using polling to detect changes

Creating a new transactional outbox table

Using separate transactions for each table update

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is log-based Change Data Capture preferred over polling?

It supports more database types

It is easier to implement

It captures changes with low overhead in real-time

It requires more manual intervention

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is mentioned for capturing changes in databases like PostgreSQL?

Kafka Streams

Redis

RabbitMQ

Debezium

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What types of changes are captured in the order outbox table?

Shipment delays

Inventory restocks

Order created, order detail cancelled, invoice created

User profile updates