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A data operations team wants a runbook that distinguishes failed tasks from skipped tasks after a dependency failure.
Which acceptance result most directly demonstrates that the intended solution works?
Skipped tasks often represent unmet prerequisites rather than independent execution defects.
A rerun against a recorded release version produces the same logic as the original approved deployment. That finding does not establish that the runbook records the root failed task and its downstream skipped dependents accurately.
A burst of updates produces a bounded number of report runs and freshness remains within one hour. That finding does not establish that the runbook records the root failed task and its downstream skipped dependents accurately.
The run graph shows bronze completed before silver starts and silver is skipped when bronze fails. That finding does not establish that the runbook records the root failed task and its downstream skipped dependents accurately.
An analyst changes a notebook cell while a long-running production task is executing and expects the scheduled run to remain reproducible.
Which implementation decision best addresses this requirement?
Reproducibility requires controlled source revisions rather than relying on changing interactive notebook state. The selected implementation is the one directly aligned with the constraints in the scenario.
Bounded recovery protects resources and makes a persistent failure visible to operators.
Each job task type has its own compute and resource requirements that must be set explicitly.
A task DAG allows independent work to execute concurrently while enforcing the required fan-in barrier.
An analyst changes a notebook cell while a long-running production task is executing and expects the scheduled run to remain reproducible.
Which acceptance result most directly demonstrates that the intended solution works?
Reproducibility requires controlled source revisions rather than relying on changing interactive notebook state.
After the configured retries are exhausted, the task enters a terminal failure state and notifies the owner. That finding does not establish that a rerun against a recorded release version produces the same logic as the original approved deployment.
The SQL task successfully runs against the intended warehouse under the approved identity. That finding does not establish that a rerun against a recorded release version produces the same logic as the original approved deployment.
The consolidation task starts only after both staging tasks succeed. That finding does not establish that a rerun against a recorded release version produces the same logic as the original approved deployment.
A new ingest job should stop after two retries when cloud storage is unavailable and report failure rather than loop indefinitely.
Which implementation decision best addresses this requirement?
Bounded recovery protects resources and makes a persistent failure visible to operators. The selected implementation is the one directly aligned with the constraints in the scenario.
Data-driven triggering can be tuned to balance processing cost and tolerated delay.
Conditional DAG edges must encode the branch decision; merely adding a task does not restrict both paths.
Retry policy can recover intermittent errors without requiring an operator to restart an entire workflow immediately.
A new ingest job should stop after two retries when cloud storage is unavailable and report failure rather than loop indefinitely.
Which acceptance result most directly demonstrates that the intended solution works?
Bounded recovery protects resources and makes a persistent failure visible to operators.
A burst of updates produces a bounded number of report runs and freshness remains within one hour. That finding does not establish that after the configured retries are exhausted, the task enters a terminal failure state and notifies the owner.
A failing condition runs only the rejection path while a passing condition enables publication. That finding does not establish that after the configured retries are exhausted, the task enters a terminal failure state and notifies the owner.
A simulated one-time timeout is retried and the task completes within the configured retry limit. That finding does not establish that after the configured retries are exhausted, the task enters a terminal failure state and notifies the owner.
A job's source table can be rewritten every few minutes but its downstream report needs only hourly freshness, not a run for every individual change.
Which implementation decision best addresses this requirement?
Data-driven triggering can be tuned to balance processing cost and tolerated delay. The selected implementation is the one directly aligned with the constraints in the scenario.
Each job task type has its own compute and resource requirements that must be set explicitly.
DAG dependencies enforce execution order and avoid starting downstream transformations before their inputs are ready.
Retries help transient conditions; repeated execution cannot fix an unchanged invalid query.
A job's source table can be rewritten every few minutes but its downstream report needs only hourly freshness, not a run for every individual change.
Which acceptance result most directly demonstrates that the intended solution works?
Data-driven triggering can be tuned to balance processing cost and tolerated delay.
The SQL task successfully runs against the intended warehouse under the approved identity. That finding does not establish that a burst of updates produces a bounded number of report runs and freshness remains within one hour.
The run graph shows bronze completed before silver starts and silver is skipped when bronze fails. That finding does not establish that a burst of updates produces a bounded number of report runs and freshness remains within one hour.
The corrected SQL task passes once and unnecessary failure retries no longer occur. That finding does not establish that a burst of updates produces a bounded number of report runs and freshness remains within one hour.
A task runs correctly as a notebook but fails after being converted to a SQL query task because its required SQL warehouse was never configured.
Which implementation decision best addresses this requirement?
Each job task type has its own compute and resource requirements that must be set explicitly. The selected implementation is the one directly aligned with the constraints in the scenario.
Conditional DAG edges must encode the branch decision; merely adding a task does not restrict both paths.
A task DAG allows independent work to execute concurrently while enforcing the required fan-in barrier.
A conditional task makes business-quality approval part of the workflow DAG rather than a manual comment.
A task runs correctly as a notebook but fails after being converted to a SQL query task because its required SQL warehouse was never configured.
Which acceptance result most directly demonstrates that the intended solution works?
Each job task type has its own compute and resource requirements that must be set explicitly.
A failing condition runs only the rejection path while a passing condition enables publication. That finding does not establish that the SQL task successfully runs against the intended warehouse under the approved identity.
The consolidation task starts only after both staging tasks succeed. That finding does not establish that the SQL task successfully runs against the intended warehouse under the approved identity.
The refresh path executes on a passing check and the quarantine path executes when checks fail. That finding does not establish that the SQL task successfully runs against the intended warehouse under the approved identity.
A branch task has been added, but both the success and failure publication paths still execute because their dependency conditions were not set correctly.
Which implementation decision best addresses this requirement?
Conditional DAG edges must encode the branch decision; merely adding a task does not restrict both paths. The selected implementation is the one directly aligned with the constraints in the scenario.
DAG dependencies enforce execution order and avoid starting downstream transformations before their inputs are ready.
Retry policy can recover intermittent errors without requiring an operator to restart an entire workflow immediately.
Task parameters support reusable code without copying one notebook per region.
A branch task has been added, but both the success and failure publication paths still execute because their dependency conditions were not set correctly.
Which acceptance result most directly demonstrates that the intended solution works?
Conditional DAG edges must encode the branch decision; merely adding a task does not restrict both paths.
The run graph shows bronze completed before silver starts and silver is skipped when bronze fails. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
A simulated one-time timeout is retried and the task completes within the configured retry limit. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
Run outputs show region-specific results while source code remains one reusable asset. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
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