Microsoft Azure Architect Technologies (AZ-300) Practice Exam

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Prepare for the Microsoft Azure Architect Technologies Exam with comprehensive quizzes, flashcards, and simulated questions. Master the skills required to design solutions on Azure and earn your certification efficiently!

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What is a characteristic of Azure SQL Database replication?

  1. It requires manual partitioning configuration

  2. It handles all replication automatically at scale

  3. It does not support geo-replication

  4. It cannot be used for disaster recovery

The correct answer is: It handles all replication automatically at scale

Azure SQL Database replication is designed to support high availability and disaster recovery with minimal management overhead. One of its key features is the ability to handle replication automatically at scale, which means that the process of ensuring data is replicated between different databases or regions occurs without requiring extensive user intervention. This automated nature facilitates seamless operation and reduces the management burden for users, allowing them to focus on application development rather than database maintenance. The capacity for automatic scaling aligns with Azure's overarching goals of providing cloud solutions that can adapt to varying demands, making it suitable for environments with changing workloads. This capability to automatically manage replication enhances both performance and reliability, especially in distributed or cloud-native applications where geographical distribution of data can be crucial. The other options highlight aspects that are not accurate regarding Azure SQL Database replication. Manual partitioning configuration is generally unnecessary, as the service optimizes data distribution automatically. Geo-replication is, in fact, a supported feature that enables read access to replicas in different regions, thus promoting business continuity. Disaster recovery can also be effectively implemented using Azure SQL Database, which includes built-in features for failover and resilience.