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Switch run-as after validating access to each dependency may introduce a correction, but the question does not ask for installation or migration. A rollout alone cannot replace the required pre-change investigation, especially given the evidence that audit logs show a personal identity has access that the service principal lacks.

Configure a scoped service principal job identity with required UC privileges is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the turbine_sensor_messages_coastal scenario, the observed evidence is that audit logs show a personal identity has access that the service principal lacks; the requirement remains: production execution must use a durable least-privilege identity.

Personal tokens are not durable least-privilege job identities. The proposed action (Share the developer's personal access token as a permanent production secret at Renewable energy operator) does not meet the requirement that production execution must use a durable least-privilege identity, nor does it constitute the required pre-change investigation.

Deleting checkpoint progress can cause full replay. The proposed action (Delete checkpoint state as part of each successful load at E-commerce payments provider) does not meet the requirement that a restart must resume discovered files instead of replaying all existing input, nor does it constitute the required pre-change investigation.

Deploy the stream with a durable checkpoint and restart the same logical query may introduce a correction, but the question does not ask for installation or migration. A rollout alone cannot replace the required pre-change investigation, especially given the evidence that the streaming query creates a new checkpoint directory on each run. Here, the relevant situation is: the Auto Loader checkpoint workflow handles payment authorization records. The problem is that a streaming file….

Configure cloudFiles with a stable checkpoint path for the payment_authorization_records_coastal stream is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the payment_authorization_records_coastal scenario, the observed evidence is that the streaming query creates a new checkpoint directory on each run; the requirement remains: a restart must resume discovered files instead of replaying all existing input.

Enable managed file-event discovery on a pilot source and retain checkpoint state may introduce a correction, but the question does not ask for installation or migration. A rollout alone cannot replace the post-change acceptance test, especially given the evidence that ingestion latency rises as source listing grows while only a few files arrive. This matters here because the water_quality_readings_rural pipeline at Aquaculture farming group has this failure: the….

Compare arrival rates, discovery costs and event-notification prerequisites for water_quality_readings_rural could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The water_quality_readings_rural workflow still requires that incremental detection must scale without repeatedly listing the whole prefix.

Repeated full listings increase costs and discovery latency. The proposed action (Recursively list the entire object-store prefix every second at Aquaculture farming group) does not meet the requirement that incremental detection must scale without repeatedly listing the whole prefix, nor does it constitute the post-change acceptance test.

Trigger the job and verify SQL query result is available before export is a one-time acceptance check. It does not supply the controlled implementation step for appointment_requests_south; a passing test cannot substitute for the specific task now required.

Manual invocation does not provide reliable orchestration. The proposed action (Ask analysts to click Run on the query each morning at Pet-care booking platform) does not meet the requirement that the query must run automatically before downstream export, nor does it constitute the controlled implementation step.

Use a Lakeflow SQL query task configured with suitable warehouse and dependencies is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the appointment_requests_south scenario, the observed evidence is that history shows a query can run on SQL warehouse but has no job task; the requirement remains: the query must run automatically before downstream export.

Use unionByName with controlled missing-column behavior as needed is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the treatment_billing_events_north scenario, the observed evidence is that union positional matching puts phone numbers into postal-code fields; the requirement remains: combined data must align values by field name rather than column position.

Position-based union can silently misalign values. The proposed action (Use positional union without checking source column order at Veterinary clinic association) does not meet the requirement that combined data must align values by field name rather than column position, nor does it constitute the controlled implementation step.

Compare samples with reordered columns to verify identity-preserving alignment is a one-time acceptance check. It does not supply the controlled implementation step for treatment_billing_events_north; a passing test cannot substitute for the specific task now required.

Track duplicate-key rate and conflicting payloads for treatment_billing_events_west would help detect future recurrence, but metrics alone do not deliver the target approach. The treatment_billing_events_west requirement is that silver needs one deterministic event per business event identifier.

Verify duplicate business keys and ordering fields within treatment_billing_events_west could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The treatment_billing_events_west workflow still requires that silver needs one deterministic event per business event identifier.

All-column comparison misses business-key duplicates. The proposed action (DropDuplicates on every column when duplicates differ only by ingest timestamp at Veterinary clinic association) does not meet the requirement that silver needs one deterministic event per business event identifier, nor does it constitute the target approach.

Select supported managed file events or notification mode when appropriate is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the clinical_appointment_reports_south scenario, the observed evidence is that ingestion latency rises as source listing grows while only a few files arrive; the requirement remains: incremental detection must scale without repeatedly listing the whole prefix.

Enable managed file-event discovery on a pilot source and retain checkpoint state may introduce a correction, but the question does not ask for installation or migration. A rollout alone cannot replace the required pre-change investigation, especially given the evidence that ingestion latency rises as source listing grows while only a few files arrive. Here, the relevant situation is: the Auto Loader notification discovery workflow handles clinical appointment reports. The problem is that the….

Repeated full listings increase costs and discovery latency. The proposed action (Recursively list the entire object-store prefix every second at Regional hospital network) does not meet the requirement that incremental detection must scale without repeatedly listing the whole prefix, nor does it constitute the required pre-change investigation.

Inspect pipeline identity, job task settings and downstream dependencies for ticket_transactions_highland could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The ticket_transactions_highland workflow still requires that job orchestration must wait for pipeline update completion.

Uncontrolled refresh timing does not guarantee dependency order. The proposed action (Assume the pipeline auto-refreshes before every dashboard query at Independent cinema group) does not meet the requirement that job orchestration must wait for pipeline update completion, nor does it constitute the post-change acceptance test.

Attach the governed pipeline to the job and pilot the execution graph may introduce a correction, but the question does not ask for installation or migration. A rollout alone cannot replace the post-change acceptance test, especially given the evidence that analytics runs before the pipeline produces its updated streaming table. Here, the relevant situation is: the ticket transactions workflow depends on ticket_transactions_highland. Engineers report that….

Include `databricks bundle validate -t prod` before deployment is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the warehouse_movement_logs_metro scenario, the observed evidence is that CLI output identifies invalid resource or variable configuration; the requirement remains: the error must be caught before production resources change.

Deploying invalid configuration bypasses the preflight gate. The proposed action (Always run bundle deploy despite failing validation at Multinational parts distributor) does not meet the requirement that the error must be caught before production resources change, nor does it constitute the controlled implementation step.

Submit a deliberately invalid bundle and confirm promotion is blocked is a one-time acceptance check. It does not supply the controlled implementation step for warehouse_movement_logs_metro; a passing test cannot substitute for the specific task now required.

Update a source row and verify correct incremental destination behavior is a one-time acceptance check. It does not supply the controlled implementation step for smart_meter_readings_urban; a passing test cannot substitute for the specific task now required.

Shared secrets and manual copies do not provide reliable governed ingestion. The proposed action (Copy API secrets into a widely shared notebook and paste full responses manually at Community energy cooperative) does not meet the requirement that the source must arrive in governed Delta tables with manageable credential rotation, nor does it constitute the controlled implementation step.

Prefer a supported Lakeflow Connect managed connector with managed ingestion state is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the smart_meter_readings_urban scenario, the observed evidence is that API tokens expire and source field names change without ingestion alerts; the requirement remains: the source must arrive in governed Delta tables with manageable credential rotation.

Monitor queued and skipped runs with destination conflicts for inventory_adjustments_island would help detect future recurrence, but metrics alone do not deliver the target approach. The inventory_adjustments_island requirement is that concurrent processing must respect destination write semantics.

Overlapping unsafe writers can corrupt business results or cause failures. The proposed action (Raise maximum concurrent runs without coordinating shared output writes at Retail pharmacy network) does not meet the requirement that concurrent processing must respect destination write semantics, nor does it constitute the target approach.

Inspect overlap, idempotency and safe concurrency limit for inventory_adjustments_island could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The inventory_adjustments_island workflow still requires that concurrent processing must respect destination write semantics.