CSI Message Queuing & Event-Driven Architecture 2

Question 1

In RabbitMQ, which exchange type routes messages to queues based on an exact match of the message's routing key?

Accepted Answer

Direct exchange

Answer

Fanout exchange

Answer

Topic exchange

Answer

Headers exchange

Question 2

What is the CQRS pattern and how does it relate to event-driven architectures?

Accepted Answer

Command Query Responsibility Segregation — separates read and write models, often using events to sync the write side to read projections

Answer

Centralized Queue Routing System — a central broker pattern for managing event streams

Answer

Concurrent Query and Response System — a method for parallel event processing

Answer

Cross-Queue Replication Scheme — a redundancy pattern for message queues

Question 3

A system integrator needs to guarantee message ordering within a specific subset of events. Which Kafka feature supports this requirement?

Accepted Answer

Partition keying by a consistent message attribute

Answer

Consumer group rebalancing

Answer

Topic compaction

Answer

Broker replication factor

Question 4

Which integration pattern uses a persistent store to record outgoing messages before they are sent, ensuring they are eventually delivered even if the broker is temporarily unavailable?

Accepted Answer

Transactional outbox pattern

Answer

Circuit breaker pattern

Answer

Saga orchestration pattern

Answer

Competing consumers pattern

Question 5

In event-driven microservices, what is a 'saga' pattern used for?

Accepted Answer

Managing distributed transactions across multiple services using a sequence of local transactions and compensating events

Answer

Compressing event payloads for efficient network transmission

Answer

Scheduling periodic batch event generation

Answer

Encrypting event streams between producers and consumers

Question 6

What does 'consumer group' mean in the context of Apache Kafka?

Accepted Answer

A named group of consumers where each partition is consumed by only one member, enabling parallel load-balanced processing

Answer

A set of producers that share a common schema registry

Answer

A cluster of Kafka brokers that replicate partitions

Answer

A collection of topics grouped by business domain

Question 7

Which of the following is a key characteristic of an idempotent consumer in a message-driven system?

Accepted Answer

Processing the same message multiple times produces the same outcome as processing it once

Answer

It acknowledges messages without processing them

Answer

It only processes messages during off-peak hours

Answer

It transforms messages into a canonical format before storing