The "Large semantic model storage format" is a workspace-level setting in Microsoft Fabric and Power BI Premium that optimizes storage for large and complex models. This format is specifically engineered to improve the performance of write operations. Deploying a semantic model via the XMLA endpoint is a write-intensive operation. By enabling this setting, the service uses a different storage architecture that reduces fragmentation and speeds up write operations like deployments, refreshes, and commits. This directly addresses the requirement to minimize the deployment time for Model1.

A. Select Small semantic model storage format.

This is the default format, optimized for interactive authoring and querying, not for the write-intensive operations involved in deploying large models, making it less efficient for this task.

B. Select Users can edit data models in the Power Bl service.

This setting relates to user permissions and enabling web-based data modeling. It has no impact on the underlying storage architecture or the performance of deployments via the XMLA endpoint.

D. Set Enable Cache for Shortcuts to On.

This setting improves query performance by caching data from OneLake shortcuts. It does not affect the speed of deploying the semantic model's metadata and structure.

1. Microsoft Learn. (2024). Large semantic models. Microsoft Docs.

Reference: In the section "Enable large semantic model storage format

" the documentation states

"When enabled

the semantic model storage format is set to support very large semantic models with optimizations for write operations." This confirms that the setting is designed to speed up operations like deployment.

2. Microsoft Learn. (2024). Workspace settings. Microsoft Docs.

Reference: Under the "Power BI > General" section for workspace settings

the "Large semantic model storage format" is described. It explains that this setting must be enabled before the model is published to the workspace to take effect

reinforcing its role in the deployment process.