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You are using DAX Studio to analyze a slow-running report query. You need to identify inefficient join operations in the query. What should you review?
Open DAX Studio.
Paste the query there, enable Query Plan display and Server Timings, run your query (with clear cache), and then study the query plan for large row counts. Once the culprit is identified you can decide how to rewrite your DAX to make that part faster.
https://www.sqlbi.com/wp-content/uploads/DAX-Query-Plans.pdf
You are optimizing a Power Bl data model by using DAX Studio.
You need to capture the query events generated by a Power Bl Desktop report.
What should you use?
The All Queries trace in Dax Studio supports capturing the query events from all client tools (not just queries sent from DAX Studio like the Query Plan and Server Timings features do). The 'All Queries'' trace is really useful when you wish to see the queries that are generated by a client tool like Power BI Desktop.
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power Bl Premium capacity.
From the Power Bl Premium Capacity Metrics app, you discover the following:
* There is insufficient CPU to execute dataset refreshes.
* Out-of-memory throttling occurs when the dataset is waiting.
You need to recommend a solution to resolve the performance issues.
Solution: You move the datasets to a larger capacity.
Does this meet the goal?
The group registers the Power Bl tenant as a data source1.
You need to ensure that all the analysts can view the assets in the Power Bl tenant The solution must meet the technical requirements for Microsoft Purview and Power BI.
What should you do?
You discover a poorly performing measure in a Power Bl data model.
You need to review the query plan to analyze the amount of time spent in the storage engine and the formula engine.
What should you use?
Monitor report performance in Power BI Desktop using the Performance Analyzer. Monitoring will help you learn where the bottlenecks are, and how you can improve report performance.
Monitoring performance is relevant in the following situations:
Your Import data model refresh is slow.
Your DirectQuery or Live Connection reports are slow.
Your model calculations are slow.
Slow queries or report visuals should be a focal point of continued optimization.
