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An analyst has created five notebooks with numerical names and assumes Lakeflow Jobs will infer execution dependencies from their filenames.
Which acceptance result most directly demonstrates that the intended solution works?
Naming conventions do not replace formal DAG dependency definitions.
Runs start at the specified local weekday time and do not depend on a new source file. That finding does not establish that the task graph displays the required execution sequence regardless of notebook filenames.
A committed source update initiates the job while periods with no updates do not trigger redundant runs. That finding does not establish that the task graph displays the required execution sequence regardless of notebook filenames.
There is one scheduled daily run, and late arrivals are reconciled according to the documented policy. That finding does not establish that the task graph displays the required execution sequence regardless of notebook filenames.
A payroll pipeline should run on weekdays at 02:00 in the approved local timezone regardless of whether new files happen to arrive.
Which implementation decision best addresses this requirement?
Time-based triggers are appropriate when execution timing is mandated independently of event arrival. The selected implementation is the one directly aligned with the constraints in the scenario.
An arrival trigger is data-driven and can avoid idle schedule executions when no files land.
A data-driven trigger can match work to actual upstream updates more efficiently than frequent polling.
Batching arrivals can reduce orchestration overhead while maintaining a bounded freshness delay.
A payroll pipeline should run on weekdays at 02:00 in the approved local timezone regardless of whether new files happen to arrive.
Which acceptance result most directly demonstrates that the intended solution works?
Time-based triggers are appropriate when execution timing is mandated independently of event arrival.
Placing a qualifying new file in the watched location starts an eligible ingestion run. That finding does not establish that runs start at the specified local weekday time and do not depend on a new source file.
The new job runs when source data changes and does not run each idle minute. That finding does not establish that runs start at the specified local weekday time and do not depend on a new source file.
A burst of source files is processed in controlled runs rather than thousands of redundant jobs. That finding does not establish that runs start at the specified local weekday time and do not depend on a new source file.
A landing bucket receives unpredictable partner files and the team wants ingestion to run when new files appear rather than polling on a fixed hourly schedule.
Which implementation decision best addresses this requirement?
An arrival trigger is data-driven and can avoid idle schedule executions when no files land. The selected implementation is the one directly aligned with the constraints in the scenario.
A table-update trigger aligns downstream processing with data changes rather than clock intervals.
The business requirement is time-based, so file-dependent triggers could miss required clock boundaries.
Repairing a run can preserve already successful task results rather than repeating the entire DAG.
A landing bucket receives unpredictable partner files and the team wants ingestion to run when new files appear rather than polling on a fixed hourly schedule.
Which acceptance result most directly demonstrates that the intended solution works?
An arrival trigger is data-driven and can avoid idle schedule executions when no files land.
A committed source update initiates the job while periods with no updates do not trigger redundant runs. That finding does not establish that placing a qualifying new file in the watched location starts an eligible ingestion run.
Execution occurs at each required hour regardless of whether a file event was observed. That finding does not establish that placing a qualifying new file in the watched location starts an eligible ingestion run.
After correcting Gold the repair run completes without needlessly rerunning successful bronze and silver steps. That finding does not establish that placing a qualifying new file in the watched location starts an eligible ingestion run.
A Gold dashboard pipeline should refresh only when an upstream Unity Catalog table receives new committed data.
Which implementation decision best addresses this requirement?
A table-update trigger aligns downstream processing with data changes rather than clock intervals. The selected implementation is the one directly aligned with the constraints in the scenario.
A data-driven trigger can match work to actual upstream updates more efficiently than frequent polling.
A reliable clock schedule plus late-data logic satisfies a calendar reporting obligation better than assuming prompt file arrival.
The graph distinguishes a root failed task from downstream tasks that were skipped due to dependency failures.
A Gold dashboard pipeline should refresh only when an upstream Unity Catalog table receives new committed data.
Which acceptance result most directly demonstrates that the intended solution works?
A table-update trigger aligns downstream processing with data changes rather than clock intervals.
The new job runs when source data changes and does not run each idle minute. That finding does not establish that a committed source update initiates the job while periods with no updates do not trigger redundant runs.
There is one scheduled daily run, and late arrivals are reconciled according to the documented policy. That finding does not establish that a committed source update initiates the job while periods with no updates do not trigger redundant runs.
The diagnosis identifies the extraction failure and explains why dependent steps did not execute. That finding does not establish that a committed source update initiates the job while periods with no updates do not trigger redundant runs.
A source table is updated irregularly, but the engineer sets a cron rule every minute and wastes warehouse resources on empty checks.
Which implementation decision best addresses this requirement?
A data-driven trigger can match work to actual upstream updates more efficiently than frequent polling. The selected implementation is the one directly aligned with the constraints in the scenario.
The business requirement is time-based, so file-dependent triggers could miss required clock boundaries.
Batching arrivals can reduce orchestration overhead while maintaining a bounded freshness delay.
A job run is not complete merely because one stage succeeded; remaining tasks determine overall status.
A source table is updated irregularly, but the engineer sets a cron rule every minute and wastes warehouse resources on empty checks.
Which acceptance result most directly demonstrates that the intended solution works?
A data-driven trigger can match work to actual upstream updates more efficiently than frequent polling.
Execution occurs at each required hour regardless of whether a file event was observed. That finding does not establish that the new job runs when source data changes and does not run each idle minute.
A burst of source files is processed in controlled runs rather than thousands of redundant jobs. That finding does not establish that the new job runs when source data changes and does not run each idle minute.
The full run reaches a successful terminal state only after all required tasks complete. That finding does not establish that the new job runs when source data changes and does not run each idle minute.
A source API requires a fetch at the top of every hour even when upstream storage contains no updates.
Which implementation decision best addresses this requirement?
The business requirement is time-based, so file-dependent triggers could miss required clock boundaries. The selected implementation is the one directly aligned with the constraints in the scenario.
A reliable clock schedule plus late-data logic satisfies a calendar reporting obligation better than assuming prompt file arrival.
Repairing a run can preserve already successful task results rather than repeating the entire DAG.
Automated notifications reduce detection latency relative to periodic manual inspection.
A source API requires a fetch at the top of every hour even when upstream storage contains no updates.
Which acceptance result most directly demonstrates that the intended solution works?
The business requirement is time-based, so file-dependent triggers could miss required clock boundaries.
There is one scheduled daily run, and late arrivals are reconciled according to the documented policy. That finding does not establish that execution occurs at each required hour regardless of whether a file event was observed.
After correcting Gold the repair run completes without needlessly rerunning successful bronze and silver steps. That finding does not establish that execution occurs at each required hour regardless of whether a file event was observed.
A controlled failed run sends a notification to the configured response channel. That finding does not establish that execution occurs at each required hour regardless of whether a file event was observed.
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