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NEW QUESTION # 124
You have a Fabric workspace named Workspace1.
Workspace1 contains multiple semantic models, including a model named Model1. Model1 is updated by using an XMLA endp oint.
You need to increase the speed of the write operations of the XMLA endpoint.
What should you do?
Answer: C
Explanation:
When using XMLA endpoints to manage and update semantic models in Microsoft Fabric, the performance of write operations (such as processing, structural changes, or metadata deploy ments from Tabular Editor) is directly influenced by the storage format and how the model is persisted.
Why Option A is Correct
* By default, Fabric semantic models use the Small semantic model storage format.
* To improve write operations performance through XMLA, you must change the workspace setting to use the Large semantic model storage format.
* The large format uses more efficient storage techniques, supports partitioning, and handles larger models with optimized write capabilities.
* This setting is applied at the workspace level and impacts all semantic models within that workspace, including Model1.
This is explicitly documented in Microsoft's guidance: Large semantic model storage format is required when using XMLA write operations for large or frequently updated models.
Why the Other Options Are Incorrect
B). Configure Model1 to use the Direct Lake storage format.
* Direct Lake mode is designed for query performance (reading data directly from OneLake in delta format without import/duplication).
* It improves query latency and freshness but does not improve XMLA write operations, which deal with model metadata and structural updates.
C). Delete any unused semantic models from Workspace1.
* Deleting unused semantic models helps manage capacity and storage but does not increase the speed of XMLA endpoint write operations.
* Workspace storage overhead does not directly impact the write throughput of XMLA operations.
D). Delete any unused columns from Model1.
* Removing unused columns reduces the memory footprint and can i mprove query performance.
* However, it does not directly improve the speed of XMLA write operations. The bottleneck in XMLA writes is tied to the storage format, not the model size alone.
Summary
To increase the speed of XMLA write operations on semantic m odels, you must enable the Large semantic model storage format at the workspace level. This setting ensures better handling of writes and metadata operations via the XMLA endpoint.
References
* Large models in Power BI and Microsoft Fabric
* Use the XMLA endp oint in Microsoft Fabric
* Manage capacities in Microsoft Fabric
NEW QUESTION # 125
You have a Fabric tenant that contains a workspace named Workspace1 and a user named User1. Workspace1 contains a warehouse named DW1.
You share DW1 with User1 and assign User1 the default permissions for DW1.
What can User1 do?
Answer: A
Explanation:
Comprehensive Detailed Explanation
Step 1: Default permissions when sharing a warehouse in Fabric
When you share a Fabric warehouse (DW1) with a user and assign them default permissions, the user:
Gets Build permission by default.
Build permission allows the user to:
Use the default dataset automatically created for the warehouse.
Build reports and dashboards against that dataset.
It does not grant direct query permissions to the underlying tables or files.
Step 2: Analyze the options
A). Build reports by using the default dataset. #
Correct. Sharing a warehouse gives Build permission on the warehouse's default dataset.
User1 can create Power BI reports but cannot directly query the warehouse via SQL.
B). Read the underlying Parquet files from OneLake.
Incorrect. Access to underlying OneLake files requires Direct Lake storage access or shortcut permissions, not provided by default sharing.
C). Connect to DW1 via the TDS endpoint.
Incorrect. The TDS endpoint is supported by semantic models, not warehouses.
D). Read data from the tables in DW1.
Incorrect. Default permissions do not allow table-level SQL access. They allow using the dataset for reporting.
Step 3: Correct Answer
The only capability User1 has by default is:
A). Build reports by using the default dataset.
References
Fabric warehouses - permissions
Build permission in Power BI
NEW QUESTION # 126
You have a Fabric tenant that contains a workspace named Workspace1 and a user named User1. Workspace1 contains a warehouse named DW1.
You share DW1 with User1 and assign User1 the default permissions for DW1.
What can User1 do?
Answer: A
Explanation:
If no additional permissions are selected - The shared recipient by default receives "Read" permission, which only allows the recipient to connect to the SQL analytics endpoint.
https://learn.microsoft.com/en-us/fabric/data-warehouse/share-warehouse-manage- permissions#share-a-warehouse
NEW QUESTION # 127
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.
What can you identify about the pickupLongitude column?
Answer: C
NEW QUESTION # 128
You have the source data model shown in the following exhibit.
The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.
You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 129
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