Quick Answer
The answer is Automatic tuning. This feature is the correct choice because it leverages built-in intelligence to continuously analyze query execution plans and workload patterns, then automatically creates, drops, or rebuilds indexes to optimize performance without manual intervention. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your understanding of how Azure SQL Database self-manages indexing through the FORCE_LAST_GOOD_PLAN and CREATE INDEX options within Automatic tuning, often appearing as a distractor against manual index maintenance or Database Advisor recommendations. A common trap is confusing Automatic tuning with the older Index Advisor, but remember that Automatic tuning applies changes autonomously based on real-time workload patterns, while the Advisor only generates suggestions. Memory tip: think of it as “set it and forget it” for indexes—Automatic tuning handles the heavy lifting of adapting to shifting query loads.
This DP-300 practice question tests your understanding of monitor, configure, and optimize database resources. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You need to configure Azure SQL Database to automatically adjust indexing based on workload patterns. Which feature should you enable?
Azure Advisor
Why wrong: Azure Advisor gives recommendations but does not auto-apply.
Intelligent Insights
Why wrong: Intelligent Insights provides proactive analysis.
Automatic tuning
Automatic tuning can automatically create and drop indexes.
Query Store
Why wrong: Query Store captures query performance data.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Automatic tuning
Automatic tuning in Azure SQL Database continuously analyzes query execution plans and workload patterns, then automatically creates, drops, or rebuilds indexes to improve performance. It uses built-in intelligence to recommend and apply index changes without manual intervention, making it the correct feature for automatically adjusting indexing based on workload patterns.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Advisor
Why it's wrong here
Azure Advisor gives recommendations but does not auto-apply.
Intelligent Insights
Why it's wrong here
Intelligent Insights provides proactive analysis.
Automatic tuning
Why this is correct
Automatic tuning can automatically create and drop indexes.
Related concept
Read the scenario before looking for a memorised answer.
Query Store
Why it's wrong here
Query Store captures query performance data.
Common exam traps
The trap here is that candidates often confuse Azure Advisor's recommendations with automatic implementation, but Azure Advisor only provides suggestions, whereas Automatic tuning actually applies index changes automatically based on workload patterns.
Detailed technical explanation
Automatic tuning leverages the same index tuning engine as the Azure SQL Database Advisor, but it can be set to automatically apply index create and drop operations based on real-time workload analysis. It uses a machine learning model that evaluates index usage patterns, fragmentation, and query performance over time, and can revert changes if they degrade performance. In a real-world scenario, a database with rapidly changing query patterns (e.g., e-commerce during holiday sales) benefits from automatic tuning because it adapts indexes without DBA intervention.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Monitor, configure, and optimize database resources — This question tests Monitor, configure, and optimize database resources — Read the scenario before looking for a memorised answer..
The correct answer is: Automatic tuning — Automatic tuning in Azure SQL Database continuously analyzes query execution plans and workload patterns, then automatically creates, drops, or rebuilds indexes to improve performance. It uses built-in intelligence to recommend and apply index changes without manual intervention, making it the correct feature for automatically adjusting indexing based on workload patterns.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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