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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.

A sample cannot establish whole-table quality. The proposed shortcut 'Conclude that all rows are clean because the initial preview shows no errors' fails the documented need.

This might be appropriate after a different requirement arises: Refreshing the full profile becomes too expensive to run interactively. It is not the best initial response to the stated case.

This addresses a separate source situation: A customer table contains null CustomerID values, yet CustomerID must identify a unique dimension member. It does not directly satisfy this case's priority.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: A sample cannot establish whole-table quality.

This addresses a different case: A customer table contains null CustomerID values, yet CustomerID must identify a unique dimension member. It is not the specific defect in 'Conclude that all rows are clean because the initial preview shows no errors'.

This is reasoning supporting the preferred solution 'Switch profiling to the entire data set when assessing all-row distributions', 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: Column distribution and error counts are computed over the full available source.

Approval of a proposed design is not evidence of working behavior. The required observation is: Column distribution and error counts are computed over the full available source.

This belongs to a different case: A customer table contains null CustomerID values, yet CustomerID must identify a unique dimension member. It does not validate the current change.

This remains unsuitable for the original situation: A sample cannot establish whole-table quality. It also does not meet the changed need.

This observes the original approach but is not an additional action: Column distribution and error counts are computed over the full available source.

This is the already implemented original solution: Switch profiling to the entire data set when assessing all-row distributions. Profile statistics based on a preview can miss patterns farther down the table. It does not itself solve the new requirement.

One shared replacement key collapses unrelated customers together. The proposed shortcut 'Replace each missing key with the same arbitrary integer' fails the documented need.

This might be appropriate after a different requirement arises: Business owners permit unidentified customers to be reported as one unknown member. It is not the best initial response to the stated case.

This addresses a separate source situation: A source table has both empty strings and nulls in Email, and the analyst needs one missing-value definition. It does not directly satisfy this case's priority.

This addresses a different case: A source table has both empty strings and nulls in Email, and the analyst needs one missing-value definition. It is not the specific defect in 'Replace each missing key with the same arbitrary integer'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: One shared replacement key collapses unrelated customers together.

This is reasoning supporting the preferred solution 'Identify and repair or exclude invalid key rows before relating the dimension', but it does not directly name the defect in the proposed shortcut.

This belongs to a different case: A source table has both empty strings and nulls in Email, and the analyst needs one missing-value definition. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: CustomerID is nonblank and unique under the agreed quality rule.

Approval of a proposed design is not evidence of working behavior. The required observation is: CustomerID is nonblank and unique under the agreed quality rule.

This observes the original approach but is not an additional action: CustomerID is nonblank and unique under the agreed quality rule.

This is the already implemented original solution: Identify and repair or exclude invalid key rows before relating the dimension. Blank business keys cannot reliably identify distinct dimension members. It does not itself solve the new requirement.

This remains unsuitable for the original situation: One shared replacement key collapses unrelated customers together. It also does not meet the changed need.

Sorting does not merge semantic duplicates. The proposed shortcut 'Leave variants untouched and sort by country name' fails the documented need.

This might be appropriate after a different requirement arises: The company adds ISO alpha-two codes for all markets. It is not the best initial response to the stated case.

This addresses a separate source situation: A European file encodes 31/12/2025 but the model interprets it as a US month/day date. It does not directly satisfy this case's priority.

This addresses a different case: A European file encodes 31/12/2025 but the model interprets it as a US month/day date. It is not the specific defect in 'Leave variants untouched and sort by country name'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Sorting does not merge semantic duplicates.

This is reasoning supporting the preferred solution 'Standardize the variants with a documented mapping during Power Query cleaning', but it does not directly name the defect in the proposed shortcut.