Which two tools are commonly used to profile and analyze DAX queries in Power BI?

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Multiple Choice

Which two tools are commonly used to profile and analyze DAX queries in Power BI?

Explanation:
Profiling DAX queries in Power BI hinges on tools that let you inspect both the query itself and how the engine executes it. DAX Studio is designed for working with DAX against the Power BI data model and can capture the DAX statements, server timings, and query plans, giving you visibility into how long parts of the query take and where time is spent. SQL Server Profiler is a tracing tool that records the actual events inside Analysis Services when those DAX queries run, including the exact query text and timing information, helping you pinpoint bottlenecks. Together, they provide a practical workflow: use DAX Studio to write and profile the DAX, and use Profiler to see engine-side activity. Other options like the Performance Analyzer are helpful for client-side timings but don’t offer the deep engine traces, and Excel isn’t used for DAX profiling.

Profiling DAX queries in Power BI hinges on tools that let you inspect both the query itself and how the engine executes it. DAX Studio is designed for working with DAX against the Power BI data model and can capture the DAX statements, server timings, and query plans, giving you visibility into how long parts of the query take and where time is spent. SQL Server Profiler is a tracing tool that records the actual events inside Analysis Services when those DAX queries run, including the exact query text and timing information, helping you pinpoint bottlenecks. Together, they provide a practical workflow: use DAX Studio to write and profile the DAX, and use Profiler to see engine-side activity. Other options like the Performance Analyzer are helpful for client-side timings but don’t offer the deep engine traces, and Excel isn’t used for DAX profiling.

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