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DP-300 Configure and manage automation of tasks Practice Question

You are tasked with automating index maintenance for an Azure SQL Database. Which Azure service should you use to run T-SQL scripts on a recurring schedule?

⚠ Common exam trap

Watch out — candidates often confuse SQL Server Agent (available in Azure SQL Managed Instance) with Azure SQL Database (single database/elastic pool), mistakenly assuming Agent is available for all Azure SQL offerings, when in fact Elastic Database Jobs is the correct scheduler for the PaaS Azure SQL Database service.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Elastic Database Jobs

Elastic Database Jobs (B) is the correct service for automating T-SQL script execution across Azure SQL Database on a recurring schedule. It is specifically designed for Azure SQL Database and Azure SQL Managed Instance, providing a job scheduler that can run T-SQL scripts against multiple databases, handle retries, and manage job history. SQL Server Agent is not available in Azure SQL Database (only in SQL Server on-premises or Azure SQL Managed Instance), making Elastic Database Jobs the appropriate choice for this PaaS scenario.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    SQL Server Agent

    Why it's wrong here

    SQL Server Agent is unavailable in Azure SQL Database, so no Agent job can be created there. It is the correct scheduler for index maintenance on Azure SQL Managed Instance or a SQL Server VM, where the Agent service actually exists.

  • ✓

    Elastic Database Jobs

    Why this is correct

    Elastic Database Jobs run T-SQL against Azure SQL Database on a defined recurrence, satisfying the scheduled index-maintenance requirement. Unlike SQL Agent, which is unavailable in Azure SQL Database, elastic jobs target logical servers and databases directly, executing scripts such as index rebuilds without external orchestration.

  • ✗

    Azure Automation Runbook

    Why it's wrong here

    Azure Automation Runbooks execute PowerShell or Python workflows, not T-SQL directly against Azure SQL Database on a schedule; they lack a native T-SQL job step. They suit orchestrating cross-service automation, such as scaling or VM operations, where no database-native scheduler exists.

  • ✗

    Azure Logic Apps

    Why it's wrong here

    Logic Apps orchestrate connectors and workflows triggered by events or schedules, but they do not natively execute T-SQL index maintenance scripts as scheduled jobs. They fit integrating systems, for example reacting to a file upload, rather than database-internal maintenance.

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