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This observes the original approach but is not an additional action: The metric changes correctly when slicers change without a model refresh.

This remains unsuitable for the original situation: Calculated columns do not dynamically recalculate for every report selection. It also does not meet the changed need.

This is the already implemented original solution: Create a DAX measure rather than a calculated column. Measures recompute in filter context at query time. It does not itself solve the new requirement.

Generated patterns can require a compatible date table and correct requirements. The proposed shortcut 'Assume any generated DAX formula is automatically accurate for all business calendars' fails the documented need.

This addresses a separate source situation: A business user wants a report measure that adapts to slicers, not a refresh-time snapshot stored on rows. It does not directly satisfy this case's priority. In the current question, this comparison is made against: An analyst needs a quick year-over-year percentage calculation for a standard date field. Which TWO entries together identify the most appropriate initial action and direct observed evidence of its success? (Select TWO.)

This might be appropriate after a different requirement arises: The company adopts a nonstandard fiscal calendar. It is not the best initial response to the stated case.

This is reasoning supporting the preferred solution 'Use the Power BI quick-measure feature then inspect and test the generated DAX', 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: Generated patterns can require a compatible date table and correct requirements.

This addresses a different case: A business user wants a report measure that adapts to slicers, not a refresh-time snapshot stored on rows. It is not the specific defect in 'Assume any generated DAX formula is automatically accurate for all business calendars'.

A future test is not yet observed operational evidence. The verification must establish: The formula produces expected prior-year comparisons on test periods.

This belongs to a different case: A business user wants a report measure that adapts to slicers, not a refresh-time snapshot stored on rows. It does not validate the current change. In the current question, this comparison is made against: An analyst needs a quick year-over-year percentage calculation for a standard date field. After implementing Use the Power BI quick-measure feature then inspect and test the generated DAX, 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 formula produces expected prior-year comparisons on test periods.

This is the already implemented original solution: Use the Power BI quick-measure feature then inspect and test the generated DAX. Quick measures can generate common DAX patterns that must still be validated. It does not itself solve the new requirement.

This observes the original approach but is not an additional action: The formula produces expected prior-year comparisons on test periods.

This remains unsuitable for the original situation: Generated patterns can require a compatible date table and correct requirements. It also does not meet the changed need.

This might be appropriate after a different requirement arises: A subset of measures needs a different fiscal calendar rule. It is not the best initial response to the stated case.

Duplicated logic increases maintenance and inconsistency risk. The proposed shortcut 'Copy and paste separate YTD formulas into every measure without governance' fails the documented need.

This addresses a separate source situation: A report must display total SalesAmount across current customer and date filters. It does not directly satisfy this case's priority.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Duplicated logic increases maintenance and inconsistency risk.

This addresses a different case: A report must display total SalesAmount across current customer and date filters. It is not the specific defect in 'Copy and paste separate YTD formulas into every measure without governance'.

This is reasoning supporting the preferred solution 'Use a calculation group to centralize reusable calculation items', 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: Multiple base measures use one tested YTD item with consistent results.

This belongs to a different case: A report must display total SalesAmount across current customer and date filters. It does not validate the current change.

Approval of a proposed design is not evidence of working behavior. The required observation is: Multiple base measures use one tested YTD item with consistent results.

This observes the original approach but is not an additional action: Multiple base measures use one tested YTD item with consistent results.

This is the already implemented original solution: Use a calculation group to centralize reusable calculation items. Calculation groups can apply shared calculation logic to different base measures. It does not itself solve the new requirement.

This remains unsuitable for the original situation: Duplicated logic increases maintenance and inconsistency risk. It also does not meet the changed need.

This addresses a separate source situation: A measure in Sales needs each row's related Product StandardCost for a row-level extended-cost calculation. It does not directly satisfy this case's priority. In the current question, this comparison is made against: A long complex DAX measure repeats the same filtered sales subexpression three times. Which approach BEST meets the stated Microsoft Power BI requirement?

This might be appropriate after a different requirement arises: The metric must expose an intermediate calculation for debugging. It is not the best initial response to the stated case.

Repeated subexpressions make troubleshooting and maintenance harder. The proposed shortcut 'Copy the same filter calculation into every nested branch without explanation' fails the documented need.

This addresses a different case: A measure in Sales needs each row's related Product StandardCost for a row-level extended-cost calculation. It is not the specific defect in 'Copy the same filter calculation into every nested branch without explanation'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Repeated subexpressions make troubleshooting and maintenance harder.

This is reasoning supporting the preferred solution 'Use VAR definitions and RETURN to reuse intermediate scalar or table expressions', but it does not directly name the defect in the proposed shortcut.