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Databricks Certified Data Engineer Associate Practice Test 12

Question 110

A data engineer at Pet-care booking platform is responsible for appointment requests. The SQL query task issue is that appointment_requests_south team schedules a SQL aggregation by opening a dashboard manually. The supporting evidence is that history shows a query can run on SQL warehouse but has no job task. The engineer must ensure that the query must run automatically before downstream export. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. What evidence establishes that correct output is maintained?

  1. Ask analysts to click Run on the query each morning at Pet-care booking platform
  2. Create the scheduled SQL task and bind it to the downstream export
  3. Inspect SQL statement, warehouse privileges and desired task dependencies for appointment_requests_south
  4. Trigger the job and verify SQL query result is available before export

Explanation

Correct Answer

D:

Trigger the job and verify SQL query result is available before export directly tests the behavior that should change after the correction. With the observed evidence (history shows a query can run on SQL warehouse but has no job task), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that the query must run automatically before downstream export.

Incorrect Answers

A:

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 post-change acceptance test.

B:

Create the scheduled SQL task and bind it to the downstream export 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 history shows a query can run on SQL warehouse but has no job task.

C:

Inspect SQL statement, warehouse privileges and desired task dependencies for appointment_requests_south could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The appointment_requests_south workflow still requires that the query must run automatically before downstream export.

Question 111

At Cloud gaming cooperative, the Delta log versus data files workflow handles match-session events. The problem is that a raw Parquet copy of match_session_events_north is mistaken for a complete Delta table. Evidence: the copied directory lacks _delta_log while Delta history queries fail. Constraint: restoration needs the committed schema and transaction history. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. Which test should pass before the new flow is accepted?

  1. Query historical versions and a current snapshot after restoring match_session_events_north
  2. Check match_session_events_north path for the Delta log, data files and version metadata
  3. Use a supported backup or clone workflow and test restore in isolation
  4. Copy only a selection of Parquet part files and declare the transaction log unnecessary at Cloud gaming cooperative

Explanation

Correct Answer

A:

Query historical versions and a current snapshot after restoring match_session_events_north directly tests the behavior that should change after the correction. With the observed evidence (the copied directory lacks _delta_log while Delta history queries fail), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that restoration needs the committed schema and transaction history.

Incorrect Answers

B:

Check match_session_events_north path for the Delta log, data files and version metadata could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The match_session_events_north workflow still requires that restoration needs the committed schema and transaction history.

C:

Use a supported backup or clone workflow and test restore in isolation 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 the copied directory lacks _delta_log while Delta history queries fail.

D:

Data files alone do not preserve delta transactional history. The proposed action (Copy only a selection of Parquet part files and declare the transaction log unnecessary at Cloud gaming cooperative) does not meet the requirement that restoration needs the committed schema and transaction history, nor does it constitute the post-change acceptance test.

Question 112

The vessel_position_events_central pipeline at Maritime safety agency has this failure: vessel_position_events_central contractor group needs read-only curated aggregates but can edit source tables. The team observed that privilege audit shows broad write grants inherited from a project role. Business requirement: group must query approved output without data modification. The first acceptance run passed. The current task is to detect future regressions and changes over time. What should be tracked as an operational early warning?

  1. Run SELECT and attempted INSERT as contractor to confirm read-only behavior
  2. Grant ALL PRIVILEGES on the entire catalog to a read-only group at Maritime safety agency
  3. Monitor grant drift and denied write attempts for vessel_position_events_central
  4. Grant SELECT on approved table and remove unnecessary write permissions

Explanation

Correct Answer

C:

Monitor grant drift and denied write attempts for vessel_position_events_central creates recurring visibility into the failure mode (vessel_position_events_central contractor group needs read-only curated aggregates but can edit source tables). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while group must query approved output without data modification.

Incorrect Answers

A:

Run SELECT and attempted INSERT as contractor to confirm read-only behavior is a one-time acceptance check. It does not supply continuing operational detection for vessel_position_events_central; a passing test cannot substitute for the specific task now required.

B:

All privileges violate read-only requirement. The proposed action (Grant ALL PRIVILEGES on the entire catalog to a read-only group at Maritime safety agency) does not meet the requirement that group must query approved output without data modification, nor does it constitute continuing operational detection.

D:

Grant SELECT on approved table and remove unnecessary write permissions is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the vessel_position_events_central scenario, the observed evidence is that privilege audit shows broad write grants inherited from a project role; the requirement remains: group must query approved output without data modification.

Question 113

Consider the maintenance_work_orders_delta workload at Airport facilities operator: maintenance_work_orders_delta DataFrame join change increases record count after merging. Inspection found that PR diff contains a new join clause but CI checks only linting. The governed outcome must ensure that joining behavior and key uniqueness must be tested before promotion. The target approach is approved. The current task is to introduce it safely with bounded scope and rollback. Which staged rollout best preserves the existing workload?

  1. Run a duplicate-key fixture and verify output matches expected cardinality
  2. Introduce fixture-based tests into the PR workflow and gate merge
  3. Add functional transformation tests with known join and dedup assertions
  4. Approve PRs solely on code formatting without data assertions at Airport facilities operator

Explanation

Correct Answer

B:

Introduce fixture-based tests into the PR workflow and gate merge provides a bounded way to introduce the approved solution into maintenance_work_orders_delta and detect an early mismatch. The existing signal is PR diff contains a new join clause but CI checks only linting; a staged change protects the service requirement (joining behavior and key uniqueness must be tested before promotion) and makes rollback practical.

Incorrect Answers

A:

Run a duplicate-key fixture and verify output matches expected cardinality is a one-time acceptance check. It does not supply the controlled implementation step for maintenance_work_orders_delta; a passing test cannot substitute for the specific task now required.

C:

Add functional transformation tests with known join and dedup assertions is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the maintenance_work_orders_delta scenario, the observed evidence is that PR diff contains a new join clause but CI checks only linting; the requirement remains: joining behavior and key uniqueness must be tested before promotion.

D:

Well-formatted code can still produce incorrect data. The proposed action (Approve PRs solely on code formatting without data assertions at Airport facilities operator) does not meet the requirement that joining behavior and key uniqueness must be tested before promotion, nor does it constitute the controlled implementation step.

Question 114

At Wholesale produce exchange, the drift versus bundle source workflow handles trade settlement files. The problem is that trade_settlement_files_delta production job UI was manually edited after bundle deployment. Evidence: resolved job settings differ from the versioned bundle manifest. Constraint: releases must remain traceable to approved Git changes. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. What governed target implementation should the engineer design?

  1. Update the source by copying random current production settings without review at Wholesale produce exchange
  2. Treat the versioned bundle as the source of truth and prohibit unreviewed manual drift
  3. Monitor unexpected UI changes and bundle deployment mismatches for trade_settlement_files_delta
  4. Compare actual resource definitions with deployed bundle target and source commit for trade_settlement_files_delta

Explanation

Correct Answer

B:

Treat the versioned bundle as the source of truth and prohibit unreviewed manual drift is the intended durable approach for trade_settlement_files_delta: it addresses the verified problem (trade_settlement_files_delta production job UI was manually edited after bundle deployment) while preserving the required behavior (releases must remain traceable to approved Git changes). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Unreviewed drift can be promoted into every environment. The proposed action (Update the source by copying random current production settings without review at Wholesale produce exchange) does not meet the requirement that releases must remain traceable to approved Git changes, nor does it constitute the target approach.

C:

Monitor unexpected UI changes and bundle deployment mismatches for trade_settlement_files_delta would help detect future recurrence, but metrics alone do not deliver the target approach. The trade_settlement_files_delta requirement is that releases must remain traceable to approved Git changes.

D:

Compare actual resource definitions with deployed bundle target and source commit for trade_settlement_files_delta could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The trade_settlement_files_delta workflow still requires that releases must remain traceable to approved Git changes.

Question 115

At Multinational parts distributor, the warehouse movement logs workflow depends on warehouse_movement_logs_central. Engineers report that two concurrent writers update warehouse_movement_logs_central and a reader sometimes sees inconsistent exported copies; the evidence is that the write log shows independent files were replaced while an ETL job was reading them. They require that readers require consistent committed versions without pausing ingest. The first acceptance run passed. The current task is to detect future regressions and changes over time. Which ongoing alert or metric is most relevant?

  1. Track failed commits, conflict retries and table-history anomalies for warehouse_movement_logs_central
  2. Store warehouse_movement_logs_central as a Delta table and rely on atomic transaction-log commits
  3. Allow direct writers to replace arbitrary Parquet files while readers scan them at Multinational parts distributor
  4. Read warehouse_movement_logs_central during overlapping test writes and verify a consistent committed snapshot

Explanation

Correct Answer

A:

Track failed commits, conflict retries and table-history anomalies for warehouse_movement_logs_central creates recurring visibility into the failure mode (two concurrent writers update warehouse_movement_logs_central and a reader sometimes sees inconsistent exported copies). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while readers require consistent committed versions without pausing ingest.

Incorrect Answers

B:

Store warehouse_movement_logs_central as a Delta table and rely on atomic transaction-log commits is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the warehouse_movement_logs_central scenario, the observed evidence is that the write log shows independent files were replaced while an ETL job was reading them; the requirement remains: readers require consistent committed versions without pausing ingest.

C:

Uncoordinated file replacement cannot provide delta transaction guarantees. The proposed action (Allow direct writers to replace arbitrary Parquet files while readers scan them at Multinational parts distributor) does not meet the requirement that readers require consistent committed versions without pausing ingest, nor does it constitute continuing operational detection.

D:

Read warehouse_movement_logs_central during overlapping test writes and verify a consistent committed snapshot is a one-time acceptance check. It does not supply continuing operational detection for warehouse_movement_logs_central; a passing test cannot substitute for the specific task now required.

Question 116

A data engineer at Multi-region rental platform is responsible for property reservation updates. The dashboard task ordering issue is that property_reservation_updates_rural executive dashboard refreshes before its gold dataset is updated. The supporting evidence is that job run graph has no edge from aggregation to dashboard refresh. The engineer must ensure that dashboards must represent the latest committed daily snapshot. The target approach is approved. The current task is to introduce it safely with bounded scope and rollback. What is the safest migration or deployment sequence?

  1. Configure dashboard refresh after the aggregation task with failure handling
  2. Use a Lakeflow dashboard task dependent on successful upstream gold refresh
  3. Change source data and verify dashboard refresh occurs after processing
  4. Refresh the dashboard before materializing the gold data at Multi-region rental platform

Explanation

Correct Answer

A:

Configure dashboard refresh after the aggregation task with failure handling provides a bounded way to introduce the approved solution into property_reservation_updates_rural and detect an early mismatch. The existing signal is job run graph has no edge from aggregation to dashboard refresh; a staged change protects the service requirement (dashboards must represent the latest committed daily snapshot) and makes rollback practical.

Incorrect Answers

B:

Use a Lakeflow dashboard task dependent on successful upstream gold refresh is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the property_reservation_updates_rural scenario, the observed evidence is that job run graph has no edge from aggregation to dashboard refresh; the requirement remains: dashboards must represent the latest committed daily snapshot.

C:

Change source data and verify dashboard refresh occurs after processing is a one-time acceptance check. It does not supply the controlled implementation step for property_reservation_updates_rural; a passing test cannot substitute for the specific task now required.

D:

The dashboard would show stale results. The proposed action (Refresh the dashboard before materializing the gold data at Multi-region rental platform) does not meet the requirement that dashboards must represent the latest committed daily snapshot, nor does it constitute the controlled implementation step.

Question 117

A data engineer at Multinational parts distributor is responsible for warehouse movement logs. The Auto Loader schema evolution issue is that a new optional field appears in warehouse_movement_logs_north JSON files and the ingestion job starts rejecting rows. The supporting evidence is that failure details identify a field absent from the previously inferred schema. The engineer must ensure that new attributes must be captured without silently corrupting existing columns. The first acceptance run passed. The current task is to detect future regressions and changes over time. What repeatable measure detects this failure after go-live?

  1. Configure supported Auto Loader schema evolution with an explicit schema location and review process
  2. Monitor schema changes, rescued columns and parsing failures for warehouse_movement_logs_north
  3. Silently drop every unexpected field and label ingestion complete at Multinational parts distributor
  4. Ingest old and new records and verify preserved fields and captured additions

Explanation

Correct Answer

B:

Monitor schema changes, rescued columns and parsing failures for warehouse_movement_logs_north creates recurring visibility into the failure mode (a new optional field appears in warehouse_movement_logs_north JSON files and the ingestion job starts rejecting rows). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while new attributes must be captured without silently corrupting existing columns.

Incorrect Answers

A:

Configure supported Auto Loader schema evolution with an explicit schema location and review process is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the warehouse_movement_logs_north scenario, the observed evidence is that failure details identify a field absent from the previously inferred schema; the requirement remains: new attributes must be captured without silently corrupting existing columns.

C:

Dropping added fields hides source changes and loses information. The proposed action (Silently drop every unexpected field and label ingestion complete at Multinational parts distributor) does not meet the requirement that new attributes must be captured without silently corrupting existing columns, nor does it constitute continuing operational detection.

D:

Ingest old and new records and verify preserved fields and captured additions is a one-time acceptance check. It does not supply continuing operational detection for warehouse_movement_logs_north; a passing test cannot substitute for the specific task now required.

Question 118

The smart_meter_readings_delta pipeline at Community energy cooperative has this failure: smart_meter_readings_delta aggregation spends most time scheduling thousands of tiny shuffle tasks. The team observed that Spark UI shows very low per-task data size and excessive scheduling overhead. Business requirement: performance changes must be benchmarked against the same output. The first acceptance run passed. The current task is to detect future regressions and changes over time. What should be tracked as an operational early warning?

  1. Increase shuffle partitions without measuring task size or skew at Community energy cooperative
  2. Watch task count, spill and stage duration after tuning smart_meter_readings_delta
  3. Rerun identical aggregation and verify result parity and faster completion
  4. Tune spark.sql.shuffle.partitions or AQE behavior based on measured shuffle workload

Explanation

Correct Answer

B:

Watch task count, spill and stage duration after tuning smart_meter_readings_delta creates recurring visibility into the failure mode (smart_meter_readings_delta aggregation spends most time scheduling thousands of tiny shuffle tasks). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while performance changes must be benchmarked against the same output.

Incorrect Answers

A:

Arbitrary partition expansion can increase overhead. The proposed action (Increase shuffle partitions without measuring task size or skew at Community energy cooperative) does not meet the requirement that performance changes must be benchmarked against the same output, nor does it constitute continuing operational detection.

C:

Rerun identical aggregation and verify result parity and faster completion is a one-time acceptance check. It does not supply continuing operational detection for smart_meter_readings_delta; a passing test cannot substitute for the specific task now required.

D:

Tune spark.sql.shuffle.partitions or AQE behavior based on measured shuffle workload is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the smart_meter_readings_delta scenario, the observed evidence is that Spark UI shows very low per-task data size and excessive scheduling overhead; the requirement remains: performance changes must be benchmarked against the same output.

Question 119

The station_observation_files_highland pipeline at Public weather agency has this failure: a station_observation_files_highland source has a compatible connector but existing custom scripts have divergent retries. The team observed that logs show different authentication and pagination paths across team-owned scripts. Business requirement: ingestion must be standardized under governed destinations. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. What lasting solution should be selected for the verified conditions?

  1. Identify connector coverage, source permissions and supported incremental behavior for station_observation_files_highland
  2. Monitor source offset, failed pages and connector task errors for station_observation_files_highland
  3. Let every notebook invent a new unscheduled direct source sync at Public weather agency
  4. Use the supported Lakeflow Connect standard connector with scoped source access

Explanation

Correct Answer

D:

Use the supported Lakeflow Connect standard connector with scoped source access is the intended durable approach for station_observation_files_highland: it addresses the verified problem (a station_observation_files_highland source has a compatible connector but existing custom scripts have divergent retries) while preserving the required behavior (ingestion must be standardized under governed destinations). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Identify connector coverage, source permissions and supported incremental behavior for station_observation_files_highland could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The station_observation_files_highland workflow still requires that ingestion must be standardized under governed destinations.

B:

Monitor source offset, failed pages and connector task errors for station_observation_files_highland would help detect future recurrence, but metrics alone do not deliver the target approach. The station_observation_files_highland requirement is that ingestion must be standardized under governed destinations.

C:

Uncoordinated custom pulls are less governed and harder to recover. The proposed action (Let every notebook invent a new unscheduled direct source sync at Public weather agency) does not meet the requirement that ingestion must be standardized under governed destinations, nor does it constitute the target approach.

Question 120

A data engineer at Food delivery franchise is responsible for dispatch and delivery status. The COPY INTO idempotent files issue is that a nightly load of dispatch_and_delivery_status_rural repeats files from yesterday and developers fear duplicate inserts. The supporting evidence is that the same object-storage folder is scanned on each scheduled run. The engineer must ensure that only new source files should be appended without reprocessing prior paths. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. What analysis is necessary before deciding on remediation?

  1. Use incremental idempotent COPY INTO against the governed Delta target
  2. Run unconditional INSERT SELECT over the complete folder on every retry at Food delivery franchise
  3. Inspect file-level load history and path visibility for dispatch_and_delivery_status_rural
  4. Schedule COPY INTO for dispatch_and_delivery_status_rural and test a retry after successful ingestion

Explanation

Correct Answer

C:

Inspect file-level load history and path visibility for dispatch_and_delivery_status_rural directly investigates the evidence (the same object-storage folder is scanned on each scheduled run) and distinguishes possible causes of a nightly load of dispatch_and_delivery_status_rural repeats files from yesterday and developers fear duplicate inserts. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: only new source files should be appended without reprocessing prior paths.

Incorrect Answers

A:

Use incremental idempotent COPY INTO against the governed Delta target is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the dispatch_and_delivery_status_rural scenario, the observed evidence is that the same object-storage folder is scanned on each scheduled run; the requirement remains: only new source files should be appended without reprocessing prior paths.

B:

A blind append can duplicate previously processed records. The proposed action (Run unconditional INSERT SELECT over the complete folder on every retry at Food delivery franchise) does not meet the requirement that only new source files should be appended without reprocessing prior paths, nor does it constitute the required pre-change investigation.

D:

Schedule COPY INTO for dispatch_and_delivery_status_rural and test a retry after successful ingestion 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 same object-storage folder is scanned on each scheduled run.

Certified Data Engineer Associate Practice Tests