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NEW QUESTION # 14
You have a Microsoft Power Bl project that contains a file named definition.pbir. definition.pbir contains the following JSON.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
We are analyzing the JSON for definition.pbir in a Power BI Project:
{
" version " : " 1.0 " ,
" datasetReference " : {
" byPath " : {
" path " : " ../Sales.Dataset "
},
" byConnection " : null
}
}
Statement 1:
" definition.pbir is in the PBIR-Legacy format. "
No # The legacy PBIR format references datasets by byConnection (pointing to the Power BI service).
Here, it uses byPath, which is the new project format, not legacy.
Statement 2:
" The semantic model referenced by definition.pbir is located in the Power BI service. " No # The JSON shows byPath: " ../Sales.Dataset " , meaning the semantic model is referenced locally within the project folder (Sales.Dataset), not in the Power BI service.
Statement 3:
" When the related report is opened, Power BI Desktop will open the semantic model in full edit mode. " Yes # Since the semantic model is referenced by path (local PBIP project files), Power BI Desktop will open the model in full edit mode. If it had been byConnection, it would open in live connect mode to the service instead.
Final Answer:
PBIR-Legacy format # No
Semantic model in Power BI service # No
Opens in full edit mode # Yes
References:
Power BI Project (PBIP) structure
PBIR formats: byPath vs byConnection
NEW QUESTION # 15
You have a Fabric warehouse that contains two tables named DimDate and Trips.
DimDate contains the following fields.
Trips contains the following fields.
You need to compare the average miles per trip for statutory holidays versus non-statutory holidays.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
Step 1: Requirement
We need to compare the average miles per trip for:
Statutory holidays (when IsHoliday = 1)
Non-statutory holidays (when IsHoliday = 0)
Step 2: Formula for average miles per trip
Average miles per trip = total miles ÷ number of trips
Total miles # SUM(t.tripDistance)
Number of trips # COUNT(t.tripID)
So the calculation is:
(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip
Step 3: Grouping
We need a comparison by holiday status.
So we must group the results by:
GROUP BY d.IsHoliday
This ensures we get two rows: one for IsHoliday = 1 and one for IsHoliday = 0.
Step 4: Final Query
SELECT
d.IsHoliday,
(SUM(t.tripDistance) / COUNT(t.tripID)) AS MilesPerTrip
FROM DimDate d
INNER JOIN Trips t ON d.DateID = t.DateID
GROUP BY d.IsHoliday;
Why This is Correct
The formula ensures average miles per trip.
Grouping ensures comparison between holidays vs non-holidays.
Efficient aggregation, minimal computation.
References
Aggregate functions in T-SQL
GROUP BY clause
NEW QUESTION # 16
You have a Fabric deployment pipeline that includes three stages named Development, Test, and Production.
Each stage is assigned to its own workspace on a Fabric capacity.
A paginated report in the Development workspace connects to a semantic model in the same workspace.
You deploy both the paginated report and the semantic model from the Development workspace to the Test workspace.
After the deployment, users report that the paginated report in Test still returns data from the semantic model in Development.
You need to ensure that the paginated report in the Test workspace queries the semantic model in the same workspace after deployments.
What should you do?
Answer: D
NEW QUESTION # 17
When working with Power Query dataflows in Microsoft Power BI, optimizing performance and reusability is critical. An effective strategy is to separate data injection from data transformation.
By doing so, you can improve the efficiency of data processing and ensure that dataflows are easy to manage and reuse. In addition, other best practices can further improve performance.
Which of the following practices are recommended for improving performance and reusability in Power Query dataflows? (Select 3)
Answer: A,C,E
Explanation:
Option A: Correct because this practice of reducing the frequency of data source access enhances performance by minimizing the overhead associated with repeated data pulls. By isolating data ingestion processes, it also increases reusability, as data can be processed once and reused across multiple analyses or applications without the need for redundant extraction operations.
Option C: Correct because filtering data at the source before bringing it into the analytical environment reduces the volume of data that needs to be processed. This approach minimizes resource consumption and improves query performance by reducing the amount of data transferred across the network and processed by downstream systems.
Option E: Correct because query folding is a technique where transformations applied in a query are pushed back to the data source. This approach leverages the data source's processing capabilities to perform transformations, reducing the workload on the analytical dataflow or processing engine. It enhances performance by minimizing data movement and optimizing query execution efficiency.
Reference:
https://learn.microsoft.com/en-us/power-query/dataflows/performance-ingestion-transformation- dataflows
NEW QUESTION # 18
You have a Fabric tenant that contains two workspaces named Workspace1 and Workspace2 and a user named User1.
You need to ensure that User1 can perform the following tasks:
Create a new domain.
Create two subdomains named subdomain1 and subdomain2.
Assign Workspace1 to subdomain1.
Assign Workspace2 to subdomain2.
The solution must follow the principle of least privilege.
Which role should you assign to User1?
Answer: C
Explanation:
User1 must be able to:
Create a new domain.
Create two subdomains.
Assign Workspace1 to subdomain1.
Assign Workspace2 to subdomain2.
Key Role Definitions in Fabric:
Domain admin: Can manage domain settings, add/remove workspaces, manage contributors.
Domain contributor: Can contribute to an existing domain but cannot create a domain.
Workspace admin: Only controls permissions/settings inside a workspace, not domains.
Fabric admin: Tenant-wide admin, broader than required.
Requirement: Follow least privilege.
To create a new domain # Requires Domain admin.
To assign workspaces to subdomains # Domain admin rights are sufficient.
Fabric admin is excessive and breaks least privilege.
NEW QUESTION # 19
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