
Explanation:

Comprehensive Detailed Explanation Relational databases (such as Azure SQL Database, SQL Server, or Azure Database for PostgreSQL) are designed for structured data and ACID-compliant transactions.
Let's analyze the options:
* Changes to relationships between entities
* While relational databases do handle relationships (via primary/foreign keys), this phrase alone does not describe the core usage scenario for "high volume."
* Geographically distributed writes
* This is better suited to NoSQL databases (e.g., Azure Cosmos DB) because they are optimized for global distribution and multi-region writes.
* Transactional writes
* Correct.
* Relational databases excel at handling large volumes of transactional operations (INSERT, UPDATE, DELETE) while ensuring consistency, integrity, and rollback capabilities.
* This is the primary workload for OLTP (Online Transaction Processing) systems.
* Writes that have varying data structures
* This is a use case for NoSQL/document databases like MongoDB or Azure Cosmos DB, not relational systems which require structured schema.
The Answer: Transactional writes
* Azure SQL Database - transactional processing
* Data store considerations: relational vs non-relational
* OLTP vs OLAP
Microsoft References