Apache Kafka Complete Practice Exam 2025 – All-in-One Prep

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What happens when a topic reaches its retention limit in Kafka?

Older messages are archived to a backup system

New messages wait until the limit is increased

Older messages will be deleted based on the configured retention policy

When a topic in Kafka reaches its retention limit, the configured retention policy comes into effect, leading to the deletion of older messages. This process is driven by Kafka's design to efficiently manage disk space and ensure that the most relevant data is retained while allowing newer messages to be added. The retention policy can be configured based on time (e.g., retaining messages for a certain number of days) or based on the size (e.g., retaining a specific amount of data).

The deletion of older messages occurs in a manner that prevents any interruption to the flow of new messages, ensuring that producers can continue sending data to the topic without waiting for space to become available or needing to increase limits. This automatic management ensures high throughput and efficient resource utilization within Kafka, catering to the needs of applications that require real-time data processing.

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Message processing stops until space is available

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