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This addresses a different case: The Sales table has many transactions per ProductKey and Products has one row per ProductKey. It is not the specific defect in 'Create a calculated text column that repeats the entire report's grand total on each row'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: A repeated static total does not behave as a filtered measure.

This is reasoning supporting the preferred solution 'Define a measure for SUM of the Sales amount', but it does not directly name the defect in the proposed shortcut.

Approval of a proposed design is not evidence of working behavior. The required observation is: The measure changes when customers or months are selected.

A future test is not yet observed operational evidence. The verification must establish: The measure changes when customers or months are selected.

This belongs to a different case: The Sales table has many transactions per ProductKey and Products has one row per ProductKey. It does not validate the current change.

This remains unsuitable for the original situation: A repeated static total does not behave as a filtered measure. It also does not meet the changed need.

This observes the original approach but is not an additional action: The measure changes when customers or months are selected.

This is the already implemented original solution: Define a measure for SUM of the Sales amount. Measures evaluate in the current filter context and suit dynamic aggregations. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: Analysts need country-specific geographic aggregates. It is not the best initial response to the stated case.

This addresses a separate source situation: A purchasing model needs ProductCategory and Brand from a normalized Products reference, but analysts want simpler report filtering. It does not directly satisfy this case's priority.

Nonunique city labels are unsafe surrogate relationship keys. The proposed shortcut 'Join Sales to City text when many cities share names across countries' fails the documented need.

This addresses a different case: A purchasing model needs ProductCategory and Brand from a normalized Products reference, but analysts want simpler report filtering. It is not the specific defect in 'Join Sales to City text when many cities share names across countries'.

This is reasoning supporting the preferred solution 'Relate the Sales fact to a unique Customer dimension instead of City name', 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: Nonunique city labels are unsafe surrogate relationship keys.

A future test is not yet observed operational evidence. The verification must establish: Customer-level sales sum correctly regardless of duplicate city names.

Approval of a proposed design is not evidence of working behavior. The required observation is: Customer-level sales sum correctly regardless of duplicate city names.

This belongs to a different case: A purchasing model needs ProductCategory and Brand from a normalized Products reference, but analysts want simpler report filtering. It does not validate the current change.

This remains unsuitable for the original situation: Nonunique city labels are unsafe surrogate relationship keys. It also does not meet the changed need.

This observes the original approach but is not an additional action: Customer-level sales sum correctly regardless of duplicate city names.

This is the already implemented original solution: Relate the Sales fact to a unique Customer dimension instead of City name. Relationship keys should uniquely identify dimension entities at the chosen grain. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: Product attributes become too large or frequently changing to flatten safely. It is not the best initial response to the stated case.

Complex snowflake paths can make filter propagation harder to reason about. The proposed shortcut 'Build a chain of unnecessary bidirectional relationships between tiny lookup tables' fails the documented need.

This addresses a separate source situation: A Power BI report needs a reusable hierarchy from Year to Quarter to Month. It does not directly satisfy this case's priority.

This is reasoning supporting the preferred solution 'Consider a flattened Product dimension for a star-schema model', 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: Complex snowflake paths can make filter propagation harder to reason about.

This addresses a different case: A Power BI report needs a reusable hierarchy from Year to Quarter to Month. It is not the specific defect in 'Build a chain of unnecessary bidirectional relationships between tiny lookup tables'.

A future test is not yet observed operational evidence. The verification must establish: Product filters reach the sales fact through one clear dimension path.

Approval of a proposed design is not evidence of working behavior. The required observation is: Product filters reach the sales fact through one clear dimension path.

This belongs to a different case: A Power BI report needs a reusable hierarchy from Year to Quarter to Month. It does not validate the current change.

This remains unsuitable for the original situation: Complex snowflake paths can make filter propagation harder to reason about. It also does not meet the changed need.

This observes the original approach but is not an additional action: Product filters reach the sales fact through one clear dimension path.

This is the already implemented original solution: Consider a flattened Product dimension for a star-schema model. Denormalizing suitable descriptive attributes can simplify model relationships and queries. It does not itself solve the new requirement.