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That observation is a valid indicator for “Production and development deployments should never share stateful checkpoints” when using Use separate target-specific source, target and checkpoint paths. The scenario instead tests “A deployment requires a human approval boundary for regulated production”; the relevant result is The deploy cannot start until authorized approval is recorded.

Run evidence references the approved code revision and deployment target pertains to a different control (Record bundle revision, Git commit and target configuration in release metadata) and a different need (Operations need to know exactly which code and settings produced each pipeline run). It cannot establish that Add an approval step in the CI/CD pipeline before running the production deploy met the stated goal.

That observation is a valid indicator for “A candidate release should be rejected if an integration test fails” when using Gate production deployment on CI test outcomes. The scenario instead tests “A deployment requires a human approval boundary for regulated production”; the relevant result is The deploy cannot start until authorized approval is recorded.

The alternative Add the missing job dependency and a freshness assertion has a distinct purpose—Data from yesterday appears in current dashboard due to missing upstream refresh dependency. It would not establish the required outcome (Source rows are duplicated by retries and the gold SUM is too high); the necessary verification concerns Recomputed total matches the known source-of-truth transactions.

Compare against fixed baseline fixtures and revert unsafe transformation is appropriate when “An optimization change altered numerical results unexpectedly”; it would be verified by Regression tests confirm unchanged business measures after repair. It does not directly satisfy “Source rows are duplicated by retries and the gold SUM is too high,” whose relevant acceptance evidence is Recomputed total matches the known source-of-truth transactions.

The alternative Enforce one valid active row per join key or use point-in-time SCD2 join has a distinct purpose—A joining dimension has multiple active rows per customer and multiplies facts. It would not establish the required outcome (Source rows are duplicated by retries and the gold SUM is too high); the necessary verification concerns Recomputed total matches the known source-of-truth transactions.

Regression tests confirm unchanged business measures after repair would demonstrate the separate action Compare against fixed baseline fixtures and revert unsafe transformation, which addresses “An optimization change altered numerical results unexpectedly.” It does not verify the requirement “Source rows are duplicated by retries and the gold SUM is too high” following Deduplicate on business event ID before aggregation and repair affected periods.

This signal belongs to the adjacent case “A nullable amount column was accidentally converted to string and subsequent SUM failed,” whose remedy is Restore validated numeric typing and strict cast handling. The observed result for the present requirement is Recomputed total matches the known source-of-truth transactions.

This signal belongs to the adjacent case “A joining dimension has multiple active rows per customer and multiplies facts,” whose remedy is Enforce one valid active row per join key or use point-in-time SCD2 join. The observed result for the present requirement is Recomputed total matches the known source-of-truth transactions.

Compare against fixed baseline fixtures and revert unsafe transformation is appropriate when “An optimization change altered numerical results unexpectedly”; it would be verified by Regression tests confirm unchanged business measures after repair. It does not directly satisfy “A joining dimension has multiple active rows per customer and multiplies facts,” whose relevant acceptance evidence is The fact counts no longer grow due to dimension duplication.

Deduplicate on business event ID before aggregation and repair affected periods is appropriate when “Source rows are duplicated by retries and the gold SUM is too high”; it would be verified by Recomputed total matches the known source-of-truth transactions. It does not directly satisfy “A joining dimension has multiple active rows per customer and multiplies facts,” whose relevant acceptance evidence is The fact counts no longer grow due to dimension duplication.

Add the missing job dependency and a freshness assertion belongs to the separate case “Data from yesterday appears in current dashboard due to missing upstream refresh dependency,” where Gold latest event date matches the expected processing date would be expected. That differs from the condition in this stem: “A joining dimension has multiple active rows per customer and multiplies facts.”

That observation is a valid indicator for “Source rows are duplicated by retries and the gold SUM is too high” when using Deduplicate on business event ID before aggregation and repair affected periods. The scenario instead tests “A joining dimension has multiple active rows per customer and multiplies facts”; the relevant result is The fact counts no longer grow due to dimension duplication.

That observation is a valid indicator for “Data from yesterday appears in current dashboard due to missing upstream refresh dependency” when using Add the missing job dependency and a freshness assertion. The scenario instead tests “A joining dimension has multiple active rows per customer and multiplies facts”; the relevant result is The fact counts no longer grow due to dimension duplication.

That observation is a valid indicator for “An optimization change altered numerical results unexpectedly” when using Compare against fixed baseline fixtures and revert unsafe transformation. The scenario instead tests “A joining dimension has multiple active rows per customer and multiplies facts”; the relevant result is The fact counts no longer grow due to dimension duplication.

Restore validated numeric typing and strict cast handling is appropriate when “A nullable amount column was accidentally converted to string and subsequent SUM failed”; it would be verified by The transform runs and exact revenue sample results match. It does not directly satisfy “Data from yesterday appears in current dashboard due to missing upstream refresh dependency,” whose relevant acceptance evidence is Gold latest event date matches the expected processing date.

The alternative Compare against fixed baseline fixtures and revert unsafe transformation has a distinct purpose—An optimization change altered numerical results unexpectedly. It would not establish the required outcome (Data from yesterday appears in current dashboard due to missing upstream refresh dependency); the necessary verification concerns Gold latest event date matches the expected processing date.

Enforce one valid active row per join key or use point-in-time SCD2 join belongs to the separate case “A joining dimension has multiple active rows per customer and multiplies facts,” where The fact counts no longer grow due to dimension duplication would be expected. That differs from the condition in this stem: “Data from yesterday appears in current dashboard due to missing upstream refresh dependency.”

That observation is a valid indicator for “A nullable amount column was accidentally converted to string and subsequent SUM failed” when using Restore validated numeric typing and strict cast handling. The scenario instead tests “Data from yesterday appears in current dashboard due to missing upstream refresh dependency”; the relevant result is Gold latest event date matches the expected processing date.

Regression tests confirm unchanged business measures after repair would demonstrate the separate action Compare against fixed baseline fixtures and revert unsafe transformation, which addresses “An optimization change altered numerical results unexpectedly.” It does not verify the requirement “Data from yesterday appears in current dashboard due to missing upstream refresh dependency” following Add the missing job dependency and a freshness assertion.

This signal belongs to the adjacent case “A joining dimension has multiple active rows per customer and multiplies facts,” whose remedy is Enforce one valid active row per join key or use point-in-time SCD2 join. The observed result for the present requirement is Gold latest event date matches the expected processing date.

The alternative Add the missing job dependency and a freshness assertion has a distinct purpose—Data from yesterday appears in current dashboard due to missing upstream refresh dependency. It would not establish the required outcome (A nullable amount column was accidentally converted to string and subsequent SUM failed); the necessary verification concerns The transform runs and exact revenue sample results match.

Compare against fixed baseline fixtures and revert unsafe transformation is appropriate when “An optimization change altered numerical results unexpectedly”; it would be verified by Regression tests confirm unchanged business measures after repair. It does not directly satisfy “A nullable amount column was accidentally converted to string and subsequent SUM failed,” whose relevant acceptance evidence is The transform runs and exact revenue sample results match.

This action solves a different issue: “Source rows are duplicated by retries and the gold SUM is too high.” Its normal signal is Recomputed total matches the known source-of-truth transactions. Here the requested behavior is “A nullable amount column was accidentally converted to string and subsequent SUM failed,” so that signal is not sufficient.

Gold latest event date matches the expected processing date would demonstrate the separate action Add the missing job dependency and a freshness assertion, which addresses “Data from yesterday appears in current dashboard due to missing upstream refresh dependency.” It does not verify the requirement “A nullable amount column was accidentally converted to string and subsequent SUM failed” following Restore validated numeric typing and strict cast handling.

Regression tests confirm unchanged business measures after repair would demonstrate the separate action Compare against fixed baseline fixtures and revert unsafe transformation, which addresses “An optimization change altered numerical results unexpectedly.” It does not verify the requirement “A nullable amount column was accidentally converted to string and subsequent SUM failed” following Restore validated numeric typing and strict cast handling.

Recomputed total matches the known source-of-truth transactions pertains to a different control (Deduplicate on business event ID before aggregation and repair affected periods) and a different need (Source rows are duplicated by retries and the gold SUM is too high). It cannot establish that Restore validated numeric typing and strict cast handling met the stated goal.

Deduplicate on business event ID before aggregation and repair affected periods belongs to the separate case “Source rows are duplicated by retries and the gold SUM is too high,” where Recomputed total matches the known source-of-truth transactions would be expected. That differs from the condition in this stem: “An optimization change altered numerical results unexpectedly.”

This action solves a different issue: “Data from yesterday appears in current dashboard due to missing upstream refresh dependency.” Its normal signal is Gold latest event date matches the expected processing date. Here the requested behavior is “An optimization change altered numerical results unexpectedly,” so that signal is not sufficient.

Enforce one valid active row per join key or use point-in-time SCD2 join is appropriate when “A joining dimension has multiple active rows per customer and multiplies facts”; it would be verified by The fact counts no longer grow due to dimension duplication. It does not directly satisfy “An optimization change altered numerical results unexpectedly,” whose relevant acceptance evidence is Regression tests confirm unchanged business measures after repair.

The transform runs and exact revenue sample results match pertains to a different control (Restore validated numeric typing and strict cast handling) and a different need (A nullable amount column was accidentally converted to string and subsequent SUM failed). It cannot establish that Compare against fixed baseline fixtures and revert unsafe transformation met the stated goal.

Gold latest event date matches the expected processing date would demonstrate the separate action Add the missing job dependency and a freshness assertion, which addresses “Data from yesterday appears in current dashboard due to missing upstream refresh dependency.” It does not verify the requirement “An optimization change altered numerical results unexpectedly” following Compare against fixed baseline fixtures and revert unsafe transformation.

That observation is a valid indicator for “Source rows are duplicated by retries and the gold SUM is too high” when using Deduplicate on business event ID before aggregation and repair affected periods. The scenario instead tests “An optimization change altered numerical results unexpectedly”; the relevant result is Regression tests confirm unchanged business measures after repair.