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Configure and manage automation of taskshardMultiple ChoiceObjective-mapped

DP-300 Configure and manage automation of tasks Practice Question

A company uses Azure SQL Managed Instance and needs to automatically rebuild fragmented indexes weekly during low usage. They also need to update statistics. Which approach should they take?

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

Use Azure Automation runbook with Invoke-SqlCmd to run maintenance scripts

Azure Automation runbooks with Invoke-SqlCmd allow custom scheduling and execution of T-SQL scripts for index maintenance and statistics updates. Option A (Elastic Database Jobs) is designed for Azure SQL Database, not Managed Instance. Option C (Azure Logic Apps) can trigger but is not optimal for long-running maintenance tasks. Option D (SQL Agent job) is available in Azure SQL Managed Instance, but it is less flexible for automated scheduling during low usage windows and may impact performance; Azure Automation provides better orchestration and monitoring capabilities. Therefore, the best approach is to use Azure Automation runbook.

Answer analysis

Option-by-option breakdown

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

  • Use Elastic Database Jobs to run index maintenance

    Why it's wrong here

    Elastic Database Jobs are not supported with Azure SQL Managed Instance; they are designed for Azure SQL Database elastic pools.

  • Use Azure Automation runbook with Invoke-SqlCmd to run maintenance scripts

    Why this is correct

    Azure Automation runbooks with Invoke-SqlCmd allow flexible scheduling and execution of T-SQL scripts for maintenance tasks like index rebuild and statistics update.

  • Use Azure Logic Apps with SQL connector

    Why it's wrong here

    Azure Logic Apps can trigger T-SQL execution but are not ideal for long-running operations; they have timeouts and are less suited for heavy maintenance.

  • Create a SQL Agent job on the managed instance

    Why it's wrong here

    SQL Agent is available in Azure SQL Managed Instance, but it is not the recommended approach for this scenario because it can consume resources and may not provide the same level of scheduling flexibility and integration as Azure Automation for low-usage periods.

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