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This signal belongs to the adjacent case “A cost anomaly occurs during a period of high workload retries,” whose remedy is Correlate spend time series with Jobs run and retry records. The observed result for the present requirement is The dashboard labels units and computes totals consistently.

This signal belongs to the adjacent case “An account's daily cost should be visualized without disclosing sensitive team names to viewers,” whose remedy is Publish a governed aggregate metric view or anonymized report. The observed result for the present requirement is The dashboard labels units and computes totals consistently.

That observation is a valid indicator for “Management wants to compare serverless warehouse DBU consumption against job compute usage” when using Aggregate billing usage records grouped by workload or product SKU. The scenario instead tests “Cost comparisons across months should not confuse DBU usage with billed currency”; the relevant result is The dashboard labels units and computes totals consistently.

Review run environment versions and driver exception logs belongs to the separate case “A production job fails only after a library was upgraded,” where A specific incompatible dependency/version is identified would be expected. That differs from the condition in this stem: “Bronze ingest succeeds but silver quality checks suddenly drop many records.”

This action solves a different issue: “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks.” Its normal signal is Only the intended failed task/path reruns and downstream outputs are correct. Here the requested behavior is “Bronze ingest succeeds but silver quality checks suddenly drop many records,” so that signal is not sufficient.

Verify upstream refresh dependencies and source watermark/timestamps belongs to the separate case “The gold dashboard refresh succeeds but shows yesterday's data,” where Gold's maximum source event time matches the true upstream freshness would be expected. That differs from the condition in this stem: “Bronze ingest succeeds but silver quality checks suddenly drop many records.”

This signal belongs to the adjacent case “The gold dashboard refresh succeeds but shows yesterday's data,” whose remedy is Verify upstream refresh dependencies and source watermark/timestamps. The observed result for the present requirement is An implicated quality rule and source payload explain the losses.

A specific incompatible dependency/version is identified pertains to a different control (Review run environment versions and driver exception logs) and a different need (A production job fails only after a library was upgraded). It cannot establish that Inspect silver expectation metrics and rejected source samples met the stated goal.

Only the intended failed task/path reruns and downstream outputs are correct would demonstrate the separate action Use supported Jobs task repair or selective pipeline retry where applicable, which addresses “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks.” It does not verify the requirement “Bronze ingest succeeds but silver quality checks suddenly drop many records” following Inspect silver expectation metrics and rejected source samples.

Use supported Jobs task repair or selective pipeline retry where applicable is appropriate when “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks”; it would be verified by Only the intended failed task/path reruns and downstream outputs are correct. It does not directly satisfy “The gold dashboard refresh succeeds but shows yesterday's data,” whose relevant acceptance evidence is Gold's maximum source event time matches the true upstream freshness.

The alternative Review run environment versions and driver exception logs has a distinct purpose—A production job fails only after a library was upgraded. It would not establish the required outcome (The gold dashboard refresh succeeds but shows yesterday's data); the necessary verification concerns Gold's maximum source event time matches the true upstream freshness.

Inspect SQL query profile and pruning/scan metrics belongs to the separate case “A lakehouse table read suddenly becomes slow after a data layout change,” where Changed scan and shuffle costs explain the regression would be expected. That differs from the condition in this stem: “The gold dashboard refresh succeeds but shows yesterday's data.”

Changed scan and shuffle costs explain the regression would demonstrate the separate action Inspect SQL query profile and pruning/scan metrics, which addresses “A lakehouse table read suddenly becomes slow after a data layout change.” It does not verify the requirement “The gold dashboard refresh succeeds but shows yesterday's data” following Verify upstream refresh dependencies and source watermark/timestamps.

That observation is a valid indicator for “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks” when using Use supported Jobs task repair or selective pipeline retry where applicable. The scenario instead tests “The gold dashboard refresh succeeds but shows yesterday's data”; the relevant result is Gold's maximum source event time matches the true upstream freshness.

A specific incompatible dependency/version is identified would demonstrate the separate action Review run environment versions and driver exception logs, which addresses “A production job fails only after a library was upgraded.” It does not verify the requirement “The gold dashboard refresh succeeds but shows yesterday's data” following Verify upstream refresh dependencies and source watermark/timestamps.

This action solves a different issue: “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks.” Its normal signal is Only the intended failed task/path reruns and downstream outputs are correct. Here the requested behavior is “A lakehouse table read suddenly becomes slow after a data layout change,” so that signal is not sufficient.

This action solves a different issue: “The gold dashboard refresh succeeds but shows yesterday's data.” Its normal signal is Gold's maximum source event time matches the true upstream freshness. Here the requested behavior is “A lakehouse table read suddenly becomes slow after a data layout change,” so that signal is not sufficient.

Review run environment versions and driver exception logs belongs to the separate case “A production job fails only after a library was upgraded,” where A specific incompatible dependency/version is identified would be expected. That differs from the condition in this stem: “A lakehouse table read suddenly becomes slow after a data layout change.”

Only the intended failed task/path reruns and downstream outputs are correct pertains to a different control (Use supported Jobs task repair or selective pipeline retry where applicable) and a different need (A pipeline failure needs targeted replay without rerunning unaffected upstream tasks). It cannot establish that Inspect SQL query profile and pruning/scan metrics met the stated goal.

That observation is a valid indicator for “A production job fails only after a library was upgraded” when using Review run environment versions and driver exception logs. The scenario instead tests “A lakehouse table read suddenly becomes slow after a data layout change”; the relevant result is Changed scan and shuffle costs explain the regression.

This signal belongs to the adjacent case “The gold dashboard refresh succeeds but shows yesterday's data,” whose remedy is Verify upstream refresh dependencies and source watermark/timestamps. The observed result for the present requirement is Changed scan and shuffle costs explain the regression.

The alternative Verify upstream refresh dependencies and source watermark/timestamps has a distinct purpose—The gold dashboard refresh succeeds but shows yesterday's data. It would not establish the required outcome (A production job fails only after a library was upgraded); the necessary verification concerns A specific incompatible dependency/version is identified.

Inspect SQL query profile and pruning/scan metrics belongs to the separate case “A lakehouse table read suddenly becomes slow after a data layout change,” where Changed scan and shuffle costs explain the regression would be expected. That differs from the condition in this stem: “A production job fails only after a library was upgraded.”

Use supported Jobs task repair or selective pipeline retry where applicable belongs to the separate case “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks,” where Only the intended failed task/path reruns and downstream outputs are correct would be expected. That differs from the condition in this stem: “A production job fails only after a library was upgraded.”

Changed scan and shuffle costs explain the regression pertains to a different control (Inspect SQL query profile and pruning/scan metrics) and a different need (A lakehouse table read suddenly becomes slow after a data layout change). It cannot establish that Review run environment versions and driver exception logs met the stated goal.

Gold's maximum source event time matches the true upstream freshness would demonstrate the separate action Verify upstream refresh dependencies and source watermark/timestamps, which addresses “The gold dashboard refresh succeeds but shows yesterday's data.” It does not verify the requirement “A production job fails only after a library was upgraded” following Review run environment versions and driver exception logs.

Only the intended failed task/path reruns and downstream outputs are correct pertains to a different control (Use supported Jobs task repair or selective pipeline retry where applicable) and a different need (A pipeline failure needs targeted replay without rerunning unaffected upstream tasks). It cannot establish that Review run environment versions and driver exception logs met the stated goal.

Inspect silver expectation metrics and rejected source samples is appropriate when “Bronze ingest succeeds but silver quality checks suddenly drop many records”; it would be verified by An implicated quality rule and source payload explain the losses. It does not directly satisfy “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks,” whose relevant acceptance evidence is Only the intended failed task/path reruns and downstream outputs are correct.

The alternative Inspect SQL query profile and pruning/scan metrics has a distinct purpose—A lakehouse table read suddenly becomes slow after a data layout change. It would not establish the required outcome (A pipeline failure needs targeted replay without rerunning unaffected upstream tasks); the necessary verification concerns Only the intended failed task/path reruns and downstream outputs are correct.

Review run environment versions and driver exception logs is appropriate when “A production job fails only after a library was upgraded”; it would be verified by A specific incompatible dependency/version is identified. It does not directly satisfy “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks,” whose relevant acceptance evidence is Only the intended failed task/path reruns and downstream outputs are correct.

That observation is a valid indicator for “Bronze ingest succeeds but silver quality checks suddenly drop many records” when using Inspect silver expectation metrics and rejected source samples. The scenario instead tests “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks”; the relevant result is Only the intended failed task/path reruns and downstream outputs are correct.

A specific incompatible dependency/version is identified would demonstrate the separate action Review run environment versions and driver exception logs, which addresses “A production job fails only after a library was upgraded.” It does not verify the requirement “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks” following Use supported Jobs task repair or selective pipeline retry where applicable.

Changed scan and shuffle costs explain the regression would demonstrate the separate action Inspect SQL query profile and pruning/scan metrics, which addresses “A lakehouse table read suddenly becomes slow after a data layout change.” It does not verify the requirement “A pipeline failure needs targeted replay without rerunning unaffected upstream tasks” following Use supported Jobs task repair or selective pipeline retry where applicable.