DP-300 Exam Dumps | You have a Microsoft SQL Server 2019 database named DB1 that uses the following database-level and instance-level

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Question 128/168

You have a Microsoft SQL Server 2019 database named DB1 that uses the following database-level and instance-level features.
Clustered columnstore indexes
Automatic tuning
Change tracking
PolyBase
You plan to migrate DB1 to an Azure SQL database.
What feature should be removed or replaced before DB1 can be migrated?

A. Clustered columnstore indexes

B. PolyBase

C. Change tracking

D. Automatic tuning

Correct Answer: B

This table lists the key features for PolyBase and the products in which they ' re available.

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-versioned-feature-summary Basic Concept: This question tests choosing the correct Azure migration approach by matching the source platform, target service, downtime tolerance, and administrative effort.
Why B is Correct: PolyBase is correct because it is the feature whose normal purpose matches the stated requirement. PolyBase is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. The scenario wording points to that specific behavior: You have a Microsoft SQL Server 2019 database named DB1 that uses the following database-level and instance-level features.
Why A is Wrong: Clustered columnstore indexes is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
Why C is Wrong: Change tracking is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature.
Why D is Wrong: Automatic tuning uses built-in recommendations and verification to create/drop indexes or force last known good plans where supported. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.

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