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The report includes only matching active-subscription customers pertains to a different control (Use an inner join with the active subscription filter) and a different need (A report should contain only customers who have a matching active subscription). It cannot establish that Push the selective filter before the join where semantic equivalence holds met the stated goal.

That observation is a valid indicator for “A mapping reference table has duplicate keys and joining multiplies revenue totals” when using Deduplicate or enforce unique mapping keys before the join. The scenario instead tests “Two large tables can be joined more safely after filtering one to a small relevant subset”; the relevant result is The query returns the same expected rows with less join input data.

Customers with no match remain with null payment columns would demonstrate the separate action Use a left outer join from customers to payments, which addresses “All customers must be retained even if they have no payment records.” It does not verify the requirement “Two large tables can be joined more safely after filtering one to a small relevant subset” following Push the selective filter before the join where semantic equivalence holds.

Use supported `ROLLUP` or grouping sets with correct aggregate columns is appropriate when “A roll-up requires subtotals for each geography and a final grand total”; it would be verified by The output contains both dimensional subtotals and overall total. It does not directly satisfy “The pipeline must aggregate monthly gross revenue by account and region,” whose relevant acceptance evidence is Each account-region-month has the correct gross total.

This action solves a different issue: “Daily aggregates contain duplicate transaction IDs from retries.” Its normal signal is Repeated source deliveries do not increase the daily revenue total. Here the requested behavior is “The pipeline must aggregate monthly gross revenue by account and region,” so that signal is not sufficient.

The alternative Treat nulls under the documented business policy before aggregation has a distinct purpose—Null monetary amounts must not silently become fabricated transactions. It would not establish the required outcome (The pipeline must aggregate monthly gross revenue by account and region); the necessary verification concerns Each account-region-month has the correct gross total.

This signal belongs to the adjacent case “Null monetary amounts must not silently become fabricated transactions,” whose remedy is Treat nulls under the documented business policy before aggregation. The observed result for the present requirement is Each account-region-month has the correct gross total.

The output contains both dimensional subtotals and overall total pertains to a different control (Use supported `ROLLUP` or grouping sets with correct aggregate columns) and a different need (A roll-up requires subtotals for each geography and a final grand total). It cannot establish that Use `GROUP BY account_id, region, month` with `SUM(revenue)` met the stated goal.

This signal belongs to the adjacent case “Finance wants the number of distinct paying customers by market,” whose remedy is Use `COUNT(DISTINCT customer_id)` after the paying-event filter. The observed result for the present requirement is Each account-region-month has the correct gross total.

Use supported `ROLLUP` or grouping sets with correct aggregate columns belongs to the separate case “A roll-up requires subtotals for each geography and a final grand total,” where The output contains both dimensional subtotals and overall total would be expected. That differs from the condition in this stem: “Finance wants the number of distinct paying customers by market.”

This action solves a different issue: “Null monetary amounts must not silently become fabricated transactions.” Its normal signal is The sum and null-rate report reflect only the prescribed valid values. Here the requested behavior is “Finance wants the number of distinct paying customers by market,” so that signal is not sufficient.

Deduplicate by the stable transaction identifier before summing amounts belongs to the separate case “Daily aggregates contain duplicate transaction IDs from retries,” where Repeated source deliveries do not increase the daily revenue total would be expected. That differs from the condition in this stem: “Finance wants the number of distinct paying customers by market.”

That observation is a valid indicator for “Daily aggregates contain duplicate transaction IDs from retries” when using Deduplicate by the stable transaction identifier before summing amounts. The scenario instead tests “Finance wants the number of distinct paying customers by market”; the relevant result is The metric counts each qualifying customer only once per market.

That observation is a valid indicator for “Null monetary amounts must not silently become fabricated transactions” when using Treat nulls under the documented business policy before aggregation. The scenario instead tests “Finance wants the number of distinct paying customers by market”; the relevant result is The metric counts each qualifying customer only once per market.

Each account-region-month has the correct gross total would demonstrate the separate action Use `GROUP BY account_id, region, month` with `SUM(revenue)`, which addresses “The pipeline must aggregate monthly gross revenue by account and region.” It does not verify the requirement “Finance wants the number of distinct paying customers by market” following Use `COUNT(DISTINCT customer_id)` after the paying-event filter.

The alternative Use `GROUP BY account_id, region, month` with `SUM(revenue)` has a distinct purpose—The pipeline must aggregate monthly gross revenue by account and region. It would not establish the required outcome (Null monetary amounts must not silently become fabricated transactions); the necessary verification concerns The sum and null-rate report reflect only the prescribed valid values.

The alternative Use `COUNT(DISTINCT customer_id)` after the paying-event filter has a distinct purpose—Finance wants the number of distinct paying customers by market. It would not establish the required outcome (Null monetary amounts must not silently become fabricated transactions); the necessary verification concerns The sum and null-rate report reflect only the prescribed valid values.

Deduplicate by the stable transaction identifier before summing amounts belongs to the separate case “Daily aggregates contain duplicate transaction IDs from retries,” where Repeated source deliveries do not increase the daily revenue total would be expected. That differs from the condition in this stem: “Null monetary amounts must not silently become fabricated transactions.”

Repeated source deliveries do not increase the daily revenue total would demonstrate the separate action Deduplicate by the stable transaction identifier before summing amounts, which addresses “Daily aggregates contain duplicate transaction IDs from retries.” It does not verify the requirement “Null monetary amounts must not silently become fabricated transactions” following Treat nulls under the documented business policy before aggregation.

Each account-region-month has the correct gross total would demonstrate the separate action Use `GROUP BY account_id, region, month` with `SUM(revenue)`, which addresses “The pipeline must aggregate monthly gross revenue by account and region.” It does not verify the requirement “Null monetary amounts must not silently become fabricated transactions” following Treat nulls under the documented business policy before aggregation.

The output contains both dimensional subtotals and overall total would demonstrate the separate action Use supported `ROLLUP` or grouping sets with correct aggregate columns, which addresses “A roll-up requires subtotals for each geography and a final grand total.” It does not verify the requirement “Null monetary amounts must not silently become fabricated transactions” following Treat nulls under the documented business policy before aggregation.

This action solves a different issue: “The pipeline must aggregate monthly gross revenue by account and region.” Its normal signal is Each account-region-month has the correct gross total. Here the requested behavior is “Daily aggregates contain duplicate transaction IDs from retries,” so that signal is not sufficient.

Use supported `ROLLUP` or grouping sets with correct aggregate columns belongs to the separate case “A roll-up requires subtotals for each geography and a final grand total,” where The output contains both dimensional subtotals and overall total would be expected. That differs from the condition in this stem: “Daily aggregates contain duplicate transaction IDs from retries.”

Use `COUNT(DISTINCT customer_id)` after the paying-event filter belongs to the separate case “Finance wants the number of distinct paying customers by market,” where The metric counts each qualifying customer only once per market would be expected. That differs from the condition in this stem: “Daily aggregates contain duplicate transaction IDs from retries.”

This signal belongs to the adjacent case “A roll-up requires subtotals for each geography and a final grand total,” whose remedy is Use supported `ROLLUP` or grouping sets with correct aggregate columns. The observed result for the present requirement is Repeated source deliveries do not increase the daily revenue total.

That observation is a valid indicator for “Null monetary amounts must not silently become fabricated transactions” when using Treat nulls under the documented business policy before aggregation. The scenario instead tests “Daily aggregates contain duplicate transaction IDs from retries”; the relevant result is Repeated source deliveries do not increase the daily revenue total.

That observation is a valid indicator for “Finance wants the number of distinct paying customers by market” when using Use `COUNT(DISTINCT customer_id)` after the paying-event filter. The scenario instead tests “Daily aggregates contain duplicate transaction IDs from retries”; the relevant result is Repeated source deliveries do not increase the daily revenue total.

This action solves a different issue: “Finance wants the number of distinct paying customers by market.” Its normal signal is The metric counts each qualifying customer only once per market. Here the requested behavior is “A roll-up requires subtotals for each geography and a final grand total,” so that signal is not sufficient.

This action solves a different issue: “Daily aggregates contain duplicate transaction IDs from retries.” Its normal signal is Repeated source deliveries do not increase the daily revenue total. Here the requested behavior is “A roll-up requires subtotals for each geography and a final grand total,” so that signal is not sufficient.

Use `GROUP BY account_id, region, month` with `SUM(revenue)` is appropriate when “The pipeline must aggregate monthly gross revenue by account and region”; it would be verified by Each account-region-month has the correct gross total. It does not directly satisfy “A roll-up requires subtotals for each geography and a final grand total,” whose relevant acceptance evidence is The output contains both dimensional subtotals and overall total.

This signal belongs to the adjacent case “Daily aggregates contain duplicate transaction IDs from retries,” whose remedy is Deduplicate by the stable transaction identifier before summing amounts. The observed result for the present requirement is The output contains both dimensional subtotals and overall total.

Each account-region-month has the correct gross total pertains to a different control (Use `GROUP BY account_id, region, month` with `SUM(revenue)`) and a different need (The pipeline must aggregate monthly gross revenue by account and region). It cannot establish that Use supported `ROLLUP` or grouping sets with correct aggregate columns met the stated goal.

This signal belongs to the adjacent case “Null monetary amounts must not silently become fabricated transactions,” whose remedy is Treat nulls under the documented business policy before aggregation. The observed result for the present requirement is The output contains both dimensional subtotals and overall total.