DP-300 Practice Question: Monitor, configure, and optimize database resources
You are configuring automatic tuning for an Azure SQL Database. The database has a heavy OLTP workload. You want to automatically correct query plan choice regressions without manual intervention. Which automatic tuning option should you enable?
⚠ Common exam trap
It's easy for candidates to confuse index tuning options (CREATE_INDEX, DROP_INDEX) with query plan regression correction, mistakenly thinking that creating or dropping indexes will fix a plan choice regression, when in fact FORCE_LAST_GOOD_PLAN is the specific feature designed for that purpose.
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
✓
FORCE_LAST_GOOD_PLAN
FORCE_LAST_GOOD_PLAN, is the correct automatic tuning option for Azure SQL Database to automatically correct query plan choice regressions. When the database engine detects that a newly compiled query plan performs worse than the previously known good plan, it can automatically force the last known good plan without manual intervention, which is ideal for a heavy OLTP workload where performance stability is critical.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
DROP_INDEX
Why it's wrong here
Drops unused indexes, not related to plan regression.
- ✗
CREATE_INDEX
Why it's wrong here
Automatically creates indexes, not related to plan forcing.
- ✗
CORRECT_INDEX
Why it's wrong here
There is no such option; automatic index tuning includes CREATE and DROP.
- ✓
FORCE_LAST_GOOD_PLAN
Why this is correct
Identifies and forces the last good plan to avoid regressions.
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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