BenchMark Quizzes by MDFT Pro

Increase XMLA Endpoint Write Operation Speed

You work for MDFT Pro, a well-known training organization. The academy has a Fabric workspace named WS1 that is used to store and analyze student performance data.

WS1 contains multiple semantic models, including a model named StudentModel that tracks student progress. StudentModel is updated regularly using an XMLA endpoint to incorporate new training results.

You need to increase the speed of the write operations of the XMLA endpoint to ensure faster updates of student data.

What should you do?

Choose the correct answer from the options below.

Explanations for each answer:

Delete any unused semantic models from WS1 is incorrect. Deleting unused semantic models would free up workspace storage space but does not affect the XMLA endpoint write operation speed
Select Large semantic model storage format for WS1 is correct.
Configure StudentModel to use the Direct Lake storage format is incorrect. Direct Lake storage format is used for real-time analytics on data lake sources, but does not improve XMLA endpoint write operations
Delete any unused columns from StudentModel is incorrect. Removing unused columns might reduce model size but does not improve the performance of XMLA endpoint write operations

Learn more about large semantic models in Fabric:

Large Semantic Models

Practice Exam

Increase XMLA Endpoint Write Operation Speed

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