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Filter order can preserve upstream database pushdown before an operation prevents further folding. It would address avoid breaking query folding too early, not push restricted date filters to SQL.

Query folding indicators and native statements expose pushdown behavior where supported. That targets verify relational query folding, not push restricted date filters to SQL.

Reusing a controlled source evaluation may reduce repeated requests when supported by the refresh plan. It may suit manage rate-limited API request duplication, not push restricted date filters to SQL.

List-specific connectors retrieve structured list entries and columns. Its scope is ingest Microsoft Lists rows, not combine library-hosted workbook files.

File-scoped connections can retrieve the specified file without scanning every unrelated folder. That is meant for connect to one secured cloud workbook, not combine library-hosted workbook files.

Shared semantic models preserve upstream governed measures and row security. It would address reuse central analytics objects rather than raw files, not combine library-hosted workbook files.

A successful Power BI refresh cannot invent source updates that have not yet arrived. It would address distinguish stale source data from refresh failure, not repair numeric conversion during refresh.

Source query filters determine which records enter the loaded model. It may suit recover unintentionally filtered historical rows, not repair numeric conversion during refresh.

Gateway refresh needs reachable internal endpoints and supported network permissions. It is useful for restoring private database refresh connectivity, not for repair numeric conversion during refresh.

Separate development assets prevent unapproved changes to certified enterprise metrics. It is useful for isolate experimental model changes, not for consistent enterprise KPI reuse.

A connected report can inherit semantic-model security rather than recreate rules independently. Its scope is preserve governed data-access semantics, not consistent enterprise KPI reuse.

Dataflows centralize Power Query transformation logic for multiple downstream consumers. It would address reusable data preparation across reports, not consistent enterprise KPI reuse.

DirectQuery reads current source records during visual evaluation subject to source latency. It would address near-live source evaluation, not offline report analysis during source outage.

Direct Lake is optimized for underlying OneLake Delta storage when its supported conditions are met. That targets analytical access to OneLake storage, not offline report analysis during source outage.

Semantic model sharing avoids redefining measures, model relationships, and security configuration. It may suit reuse DAX measure definitions, not offline report analysis during source outage.

Workload identity separates unattended service access from personal user credentials. Its scope is protected unattended API access, not limit refresh credential privilege.

Access removal terminates permissions independently of data source refresh settings. That is meant for revoke expiring collaborator authorization, not limit refresh credential privilege.

Credential configuration determines the security context used when fetching source rows. It would address audit identity used during data refresh, not limit refresh credential privilege.

Parameter reuse prevents inconsistent hard-coded constants across query steps. It would address consistent parameterized threshold management, not controlled subsidiary source parameterization.

Correctly typed parameters avoid incompatible M comparisons and filter errors. It may suit repair date parameter typing, not controlled subsidiary source parameterization.

Suggested or fixed permitted values constrain deployment configuration to approved regions. It is useful for restrict dynamic source choices, not for controlled subsidiary source parameterization.

Cleaning repeated header rows avoids treating captions as business data. It is useful for correcting multi-block flat-file import, not for trim acquired data to required fields.

Cursor paging is necessary to collect all result pages under a paginated API contract. Its scope is complete paged API extraction, not trim acquired data to required fields.

Matching source grain can reduce row volume without losing the needed report detail. It would address select fit-for-purpose source granularity, not trim acquired data to required fields.

Azure SQL connectivity retrieves supported tables and queries from the managed relational service. It would address direct Azure SQL ingestion, not authorized reuse of shared model.

The Excel connector reads workbook tables and ranges into Power Query. That targets exploratory workbook import, not authorized reuse of shared model.

Direct Lake serves supported tabular views over OneLake data without a separate full import. It may suit query Fabric Lakehouse assets directly, not authorized reuse of shared model.

Source-of-truth governance prevents adopting unverified alternate totals. Its scope is resolve competing revenue sources, not select trusted KPI source.

Data minimization reduces sensitive exposure and model footprint. That is meant for minimize personally identifying source fields, not select trusted KPI source.

Accountable managed identities reduce orphaned access and make rotation supportable. It would address accountable production connector ownership, not select trusted KPI source.

Direct Lake reads underlying Delta data using the tabular engine and avoids a conventional full import duplicate. It would address querying lakehouse Delta tables directly, not live operational data without model caching.

Reusing the shared semantic model centralizes metric definitions and existing managed relationships. That targets reporting on governed enterprise measures, not live operational data without model caching.

Import materializes compressed data in the model and queries it without contacting the operational source on each interaction. It may suit low-latency cached historical analytics, not live operational data without model caching.