The answer is Elastic Jobs with T-SQL steps and Azure Automation runbooks. These two methods are correct because Azure SQL Database does not include SQL Server Agent, so you must use cloud-native alternatives to automate index maintenance like rebuilding or reorganizing indexes. Elastic Jobs allow you to schedule T-SQL scripts across multiple databases, while Azure Automation runbooks can execute T-SQL via the Invoke-SqlCmd cmdlet for flexible, recurring tasks. On the DP-300 exam, this question tests your understanding of automation limitations in PaaS versus IaaS—a common trap is assuming SQL Agent is available in Azure SQL Database, but it is not. Remember that any automation method must be external to the database engine itself. A useful memory tip: think "no Agent, no problem—Jobs and runbooks handle the job."
DP-300 Configure and manage automation of tasks Practice Question
This DP-300 practice question tests your understanding of configure and manage automation of tasks. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO methods can be used to automate index maintenance in Azure SQL Database?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Automation runbooks executing T-SQL scripts
Option A is correct because Azure Automation runbooks can execute T-SQL scripts against Azure SQL Database using the Invoke-SqlCmd cmdlet or similar, enabling scheduled index maintenance tasks such as rebuilding or reorganizing indexes. This method is fully supported in Azure SQL Database, which lacks SQL Server Agent, and allows for flexible, cloud-native automation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Azure Automation runbooks executing T-SQL scripts
Why this is correct
Runbooks can connect to Azure SQL Database and run maintenance scripts.
Related concept
Read the scenario before looking for a memorised answer.
✗
SQL Server Agent jobs
Why it's wrong here
SQL Server Agent is not available in Azure SQL Database.
✗
Azure Data Factory pipelines
Why it's wrong here
Data Factory is for data movement, not index maintenance.
✓
Elastic jobs with T-SQL steps
Why this is correct
Elastic jobs are designed for scheduling T-SQL tasks across databases.
Related concept
Read the scenario before looking for a memorised answer.
✗
Automatic tuning
Why it's wrong here
Automatic tuning does not perform index maintenance; it creates or drops indexes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume SQL Server Agent (Option B) is available in Azure SQL Database, but it is only supported in Azure SQL Managed Instance, not the single database or elastic pool service tiers.
Detailed technical explanation
How to think about this question
Index maintenance in Azure SQL Database often uses elastic jobs (Option D) to run T-SQL commands across multiple databases, leveraging the job_agent database and stored procedures like sp_add_job. Under the hood, elastic jobs use a polling-based model to execute scripts on target databases, making them ideal for scaling maintenance across shards or tenants. A real-world scenario is a SaaS application with hundreds of databases where elastic jobs automate index defragmentation weekly, reducing fragmentation without manual intervention.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-300 question in full detail.
Configure and manage automation of tasks — This question tests Configure and manage automation of tasks — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Automation runbooks executing T-SQL scripts — Option A is correct because Azure Automation runbooks can execute T-SQL scripts against Azure SQL Database using the Invoke-SqlCmd cmdlet or similar, enabling scheduled index maintenance tasks such as rebuilding or reorganizing indexes. This method is fully supported in Azure SQL Database, which lacks SQL Server Agent, and allows for flexible, cloud-native automation.
What should I do if I get this DP-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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