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You need to meet the technical requirements for deploying reports and datasets to the User Experience workspace. What should you do?
You open a Power Bl Desktop report that contains an imported data model and a single report page.
You open Performance analyzer, start recording, and refresh the visuals on the page. The recording produces the results shown in the following exhibit
What can you identify from the results?
Most time is spent in the category Other - time required by the visual for preparing queries, waiting for other visuals to complete, or performing other background processing.
Note: Each visual's log information includes the time spent (duration) to complete the following categories of tasks:
DAX query - if a DAX query was required, this is the time between the visual sending the query, and for Analysis Services to return the results.
Visual display - time required for the visual to draw on the screen, including time required to retrieve any web images or geocoding.
Other - time required by the visual for preparing queries, waiting for other visuals to complete, or performing other background processing.
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 have a Power Bl tenant and an Azure subscription named Sub1. The Power Bl tenant and Sub1 are linked to a single Azure AD tenant.
In Sub1, you create a storage account named storage1.
You need to configure a Power Bl workspace to store dataflows in storage1. The solution must use the principle of least privilege.
Which three roles should you assign for storage1? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You are running a diagnostic against a query as shown in the following exhibit.
What can you identify from the diagnostics query?
Understanding folding with Query Diagnostics
One of the most common reasons to use Query Diagnostics is to have a better understanding of what operations were 'pushed down' by Power Query to be performed by the back-end data source, which is also known as 'folding'. If we want to see what folded, we can look at what is the 'most specific' query, or queries, that get sent to the back-end data source. We can look at this for both ODATA and SQL.
