Disaster recovery planning in Kafka - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is disaster recovery planning in Kafka?

Disaster recovery planning in Kafka means preparing steps and tools to quickly restore Kafka services after failures or disasters, so data and messaging continue working with minimal downtime.

beginner

Why is replication important for Kafka disaster recovery?

Replication copies Kafka data across multiple brokers or clusters. This protects data if one broker or cluster fails, allowing recovery from another copy without data loss.

intermediate

What is a Kafka MirrorMaker and how does it help in disaster recovery?

Kafka MirrorMaker copies data between Kafka clusters. It helps disaster recovery by keeping a backup cluster updated, so if the main cluster fails, the backup can take over.

intermediate

How does Kafka's topic retention policy affect disaster recovery?

Topic retention policy controls how long Kafka keeps messages. Proper retention ensures data needed for recovery is available, preventing data loss during disaster recovery.

beginner

What role do backups play in Kafka disaster recovery?

Backups save Kafka data snapshots outside the cluster. They provide a safety net to restore data if replication or clusters fail, ensuring data can be recovered after disasters.

What is the main purpose of Kafka replication in disaster recovery?

A To speed up message processing

B To encrypt data for security

C To compress messages for storage

D To copy data across brokers for fault tolerance

Replication copies data across brokers to protect against failures, enabling recovery without data loss.

Which Kafka tool is commonly used to replicate data between clusters for disaster recovery?

A Kafka MirrorMaker

B Kafka Streams

C Kafka Connect

D Kafka Producer

Kafka MirrorMaker copies data between clusters, helping keep backup clusters in sync.

What does Kafka's topic retention policy control?

A How many consumers can read a topic

B How long messages are stored

C The order of messages

D The encryption level of messages

Retention policy sets how long Kafka keeps messages before deleting them.

Why are backups important in Kafka disaster recovery?

A They provide a data snapshot outside the cluster

B They speed up message delivery

C They reduce network traffic

D They increase message size

Backups save data snapshots externally to restore data if clusters or replication fail.

In disaster recovery, what is a key benefit of having multiple Kafka clusters?

A It compresses data automatically

B It reduces message latency

C If one cluster fails, another can continue service

D It encrypts messages end-to-end

Multiple clusters provide redundancy so service continues if one cluster fails.

Explain how Kafka replication and MirrorMaker work together to support disaster recovery.

Think about local copies vs copies across locations.

Describe the role of topic retention and backups in Kafka disaster recovery planning.

Consider how data is kept safe over time.