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

Question: 1 / 400

What is one key aspect of ensuring data safety in Kafka?

Having at least one copy of data

Ensuring data is written only once

Retaining backups in multiple locations

Having sufficient replicas and waiting for disk writes

One key aspect of ensuring data safety in Kafka is having sufficient replicas and waiting for disk writes. Kafka operates on a distributed model, where data is partitioned and replicated across multiple brokers. By having sufficient replicas, Kafka ensures that even if one or more brokers fail, data can still be accessed from other replicas, thereby enhancing data durability and availability.

Further, waiting for disk writes to acknowledge that messages have been successfully written is critical in ensuring that data is not lost. With configurations like "acks=all," Kafka can ensure that messages are acknowledged only after all in-sync replicas have confirmed the write, which prevents data loss in case of a broker failure. This practice helps maintain the integrity of the data stream and provides a safety net for potential issues, making it a fundamental aspect of data safety in Kafka.

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