Identify Considerations for Relational Data on Azure
Understand relational data concepts including normalization, SQL statements, and database objects, and identify Azure services for relational data.
This domain covers relational data fundamentals and the Azure services that support relational workloads. Candidates must describe relational concepts including features of relational data such as tables, rows, columns, primary keys, and foreign keys. It covers normalization and why it is used, common SQL statements for data definition (CREATE, ALTER, DROP) and data manipulation (SELECT, INSERT, UPDATE, DELETE), as well as common database objects such as views, stored procedures, and indexes. The domain also requires candidates to describe relational Azure data services — the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines — and identify Azure database services for open-source database systems including Azure Database for MySQL and Azure Database for PostgreSQL. (20–25% of exam)
5 minutes
5 Questions
Identifying considerations for relational data on Azure involves understanding several key factors when choosing the right Azure relational database service for your workload.
**1. Type of Relational Database Services:**
Azure offers multiple relational database services, including Azure SQL Database, Azure SQL Managed Instance, Azure Database for MySQL, Azure Database for PostgreSQL, and Azure Database for MariaDB. Each service caters to different needs based on existing expertise, application requirements, and migration scenarios.
**2. Deployment Models:**
You can choose between Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). PaaS options like Azure SQL Database handle much of the administrative overhead (patching, backups, high availability), while IaaS options like SQL Server on Azure VMs give you full control over the database engine and operating system.
**3. Cost Considerations:**
Pricing varies based on compute tier (provisioned vs. serverless), storage size, backup retention, and the chosen service tier (Basic, Standard, Premium, or vCore-based). Understanding workload patterns helps optimize costs — serverless is ideal for intermittent usage, while provisioned tiers suit predictable workloads.
**4. Scalability and Performance:**
Consider whether your application needs vertical scaling (scaling up resources) or horizontal scaling (read replicas). Azure SQL Database supports elastic pools for managing multiple databases with shared resources, making it cost-effective for SaaS applications.
**5. Security:**
Azure provides built-in security features such as encryption at rest and in transit, Azure Active Directory authentication, firewall rules, virtual network integration, and Advanced Threat Protection.
**6. High Availability and Disaster Recovery:**
Azure relational databases offer built-in high availability with SLAs up to 99.995%. Features like geo-replication and auto-failover groups ensure business continuity.
**7. Migration Considerations:**
When migrating on-premises databases, tools like Azure Database Migration Service simplify the process. Compatibility levels and feature differences between services must be evaluated.
**8. Compliance and Data Residency:**
Ensure the chosen Azure region and service meet regulatory and compliance requirements for your organization.
These considerations help ensure optimal performance, cost-efficiency, and reliability for relational data solutions on Azure.Identifying considerations for relational data on Azure involves understanding several key factors when choosing the right Azure relational database service for your workload.
**1. Type of Relational Database Services:**
Azure offers multiple relational database services, including Azure SQL Datab…
