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This is reasoning supporting the preferred solution 'Apply a foldable source filter before loading the fact table', but it does not directly name the defect in the proposed shortcut.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Visual filtering does not reduce the underlying imported dataset.

This addresses a different case: A team needs to query an on-premises Oracle system from Power BI Desktop but has not installed its required local provider. It is not the specific defect in 'Import all history and hide old years only in a report page filter'.

A future test is not yet observed operational evidence. The verification must establish: The source query and imported row counts confirm older years were excluded.

This belongs to a different case: A team needs to query an on-premises Oracle system from Power BI Desktop but has not installed its required local provider. It does not validate the current change. In the current question, this comparison is made against: An analyst wants to import a large table but only needs the last two completed financial years. After implementing Apply a foldable source filter before loading the fact table, which observation BEST demonstrates that the intended result is actually working?

Approval of a proposed design is not evidence of working behavior. The required observation is: The source query and imported row counts confirm older years were excluded.

This observes the original approach but is not an additional action: The source query and imported row counts confirm older years were excluded.

This remains unsuitable for the original situation: Visual filtering does not reduce the underlying imported dataset. It also does not meet the changed need.

This is the already implemented original solution: Apply a foldable source filter before loading the fact table. Pushing row selection to the source reduces transferred rows and model size. It does not itself solve the new requirement.

DirectQuery does not ordinarily materialize all rows like Import. The proposed shortcut 'Claim both modes always hold the same full physical copy inside the semantic model' fails the documented need.

This might be appropriate after a different requirement arises: The model is moved to eligible Fabric Delta tables in OneLake. It is not the best initial response to the stated case.

This addresses a separate source situation: A production report needs additional source columns, and Power Query currently uses a hardcoded column selection. It does not directly satisfy this case's priority. In the current question, this comparison is made against: A model currently uses Import, but business users ask how DirectQuery differs in connection behavior. Which approach BEST meets the stated Microsoft Power BI requirement?

This addresses a different case: A production report needs additional source columns, and Power Query currently uses a hardcoded column selection. It is not the specific defect in 'Claim both modes always hold the same full physical copy inside the semantic model'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: DirectQuery does not ordinarily materialize all rows like Import.

This is reasoning supporting the preferred solution 'Explain that Import caches data and DirectQuery delegates supported queries to the source', but it does not directly name the defect in the proposed shortcut.

A future test is not yet observed operational evidence. The verification must establish: A controlled source change appears only after refresh in Import but through a fresh DirectQuery query.

This belongs to a different case: A production report needs additional source columns, and Power Query currently uses a hardcoded column selection. It does not validate the current change. In the current question, this comparison is made against: A model currently uses Import, but business users ask how DirectQuery differs in connection behavior. After implementing Explain that Import caches data and DirectQuery delegates supported queries to the source, which observation BEST demonstrates that the intended result is actually working?

Approval of a proposed design is not evidence of working behavior. The required observation is: A controlled source change appears only after refresh in Import but through a fresh DirectQuery query.

This observes the original approach but is not an additional action: A controlled source change appears only after refresh in Import but through a fresh DirectQuery query.

This is the already implemented original solution: Explain that Import caches data and DirectQuery delegates supported queries to the source. Import and DirectQuery have different latency, refresh, and source-load tradeoffs. It does not itself solve the new requirement.

This remains unsuitable for the original situation: DirectQuery does not ordinarily materialize all rows like Import. It also does not meet the changed need.

This might be appropriate after a different requirement arises: An analyst needs to create new reusable business measures centrally. It is not the best initial response to the stated case.

Extracting restricted data into uncontrolled copies undermines model security. The proposed shortcut 'Copy its tables to Excel so restricted rows can be republished without governance' fails the documented need.

This addresses a separate source situation: An enterprise has a certified shared Power BI semantic model and wants several new report pages without a fresh copy of the data. It does not directly satisfy this case's priority.

This addresses a different case: An enterprise has a certified shared Power BI semantic model and wants several new report pages without a fresh copy of the data. It is not the specific defect in 'Copy its tables to Excel so restricted rows can be republished without governance'.

This is reasoning supporting the preferred solution 'Connect with appropriate permission and validate effective semantic-model security', but it does not directly name the defect in the proposed shortcut.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Extracting restricted data into uncontrolled copies undermines model security.

Approval of a proposed design is not evidence of working behavior. The required observation is: A test viewer sees only permitted rows in the connected report.

A future test is not yet observed operational evidence. The verification must establish: A test viewer sees only permitted rows in the connected report.

This belongs to a different case: An enterprise has a certified shared Power BI semantic model and wants several new report pages without a fresh copy of the data. It does not validate the current change.

This observes the original approach but is not an additional action: A test viewer sees only permitted rows in the connected report.

This is the already implemented original solution: Connect with appropriate permission and validate effective semantic-model security. Report connections reuse the semantic model's enforced security context. It does not itself solve the new requirement.

This remains unsuitable for the original situation: Extracting restricted data into uncontrolled copies undermines model security. It also does not meet the changed need.