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You want to evolve your Kafka message schema by adding a new optional field without breaking existing consumers. Which schema management practice helps achieve this safely?

hard🚀 Application Q15 of Q15

Kafka - Schema Registry

You want to evolve your Kafka message schema by adding a new optional field without breaking existing consumers. Which schema management practice helps achieve this safely?

AUse backward-compatible schema changes by adding optional fields with default values.

BDelete the old schema and register a completely new schema with all fields.

CChange the data type of an existing required field to a different type.

DRemove fields from the schema to simplify messages.

Step-by-Step Solution

Solution:

Step 1: Understand schema evolution compatibility
Backward compatibility means new schemas can read old data and old consumers can read new data safely.
Step 2: Identify safe schema changes
Adding optional fields with defaults is backward compatible; deleting or changing required fields breaks compatibility.
Final Answer:
Use backward-compatible schema changes by adding optional fields with default values. -> Option A
Quick Check:
Safe schema evolution = add optional fields [OK]

Quick Trick: Add optional fields with defaults for safe schema updates [OK]

Common Mistakes:

MISTAKES

Replacing schemas instead of evolving them
Changing required field types
Removing fields breaks compatibility

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