DP-300 Configure and manage automation of tasks Practice Question
You are the database administrator for a large e-commerce company that uses Azure SQL Database for its transactional systems. The environment consists of 100 databases spread across 10 elastic pools in different regions. You need to implement an automated solution to perform the following tasks every night: (1) Run integrity checks (DBCC CHECKDB) on all databases, (2) Rebuild indexes with fragmentation > 30%, (3) Update statistics with full scan for databases that have had significant data changes (>20% of rows). The solution must minimize manual intervention, provide centralized logging, and be resilient to failures (e.g., if one database fails, the others should continue). Which approach should you use?
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
✓
Create an Elastic Database Job with step scripts for each maintenance task, targeting all databases, and configure retry logic.
Elastic Database Jobs (formerly Elastic Database Jobs) allows you to run T-SQL scripts across many databases with built-in retry logic, error handling, and scheduling. It is designed for such maintenance tasks over elastic pools. Option B (SQL Agent) is not available in Azure SQL Database because it is a PaaS service with no SQL Agent. Option C (Azure Data Factory) is primarily for data movement and transformation, not for executing T-SQL maintenance scripts across databases. Option D (Azure Automation runbooks) can run PowerShell, but would require custom error handling and retry logic, and might be less efficient for large numbers of databases.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create an Elastic Database Job with step scripts for each maintenance task, targeting all databases, and configure retry logic.
Why this is correct
Elastic Jobs are designed for multi-database maintenance with resilience.
- ✗
Create a SQL Agent job on each server to run a maintenance script.
Why it's wrong here
SQL Agent is not available in Azure SQL Database.
- ✗
Use Azure Data Factory pipelines with a ForEach activity to execute stored procedures.
Why it's wrong here
Data Factory is for data movement, not database maintenance.
- ✗
Use Azure Automation runbooks with Invoke-SqlCmd to loop through each database.
Why it's wrong here
Less resilient and requires manual error handling.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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