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Databricks Certified Data Engineer Associate Practice Test 67

Question 660

At Regional hospital network, the clinical appointment reports workflow depends on clinical_appointment_reports_rural. Engineers report that clinical_appointment_reports_rural job has hundreds of thousands of very small tasks on a modest daily dataset; the evidence is that Spark UI shows scheduling overhead dominates work time. They require that the adjustment must keep exact output and avoid poor parallelism. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which pre-change diagnostic will resolve the uncertainty?

  1. Measure input sizes, task overhead and shuffle partition count for clinical_appointment_reports_rural
  2. Set shuffle partitions to an arbitrary enormous value for all workloads at Regional hospital network
  3. Test bounded shuffle partition adjustment in staging and capture the plan
  4. Reduce excessive partitions or enable adaptive coalescing as appropriate

Explanation

Correct Answer

A:

Measure input sizes, task overhead and shuffle partition count for clinical_appointment_reports_rural directly investigates the evidence (Spark UI shows scheduling overhead dominates work time) and distinguishes possible causes of clinical_appointment_reports_rural job has hundreds of thousands of very small tasks on a modest daily dataset. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: the adjustment must keep exact output and avoid poor parallelism.

Incorrect Answers

B:

More tasks can increase scheduling overhead rather than speed work. The proposed action (Set shuffle partitions to an arbitrary enormous value for all workloads at Regional hospital network) does not meet the requirement that the adjustment must keep exact output and avoid poor parallelism, nor does it constitute the required pre-change investigation.

C:

Test bounded shuffle partition adjustment in staging and capture the plan 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 Spark UI shows scheduling overhead dominates work time.

D:

Reduce excessive partitions or enable adaptive coalescing as 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_rural scenario, the observed evidence is that Spark UI shows scheduling overhead dominates work time; the requirement remains: the adjustment must keep exact output and avoid poor parallelism.

Question 661

At International coffee retailer, the point-of-sale receipts workflow depends on point_of_sale_receipts_east. Engineers report that the point_of_sale_receipts_east producer is a managed enterprise database but engineers plan a custom nightly file scraper; the evidence is that evaluation finds supported managed CDC connector and tight freshness targets. They require that data must reach Unity Catalog with near-real-time change capture. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which pre-change diagnostic will resolve the uncertainty?

  1. Compare connector support, freshness SLA, cost and source load for point_of_sale_receipts_east
  2. Use monthly manual CSV downloads for a near-real-time feed at International coffee retailer
  3. Select Lakeflow Connect managed CDC rather than custom file snapshots where supported
  4. Pilot managed CDC for a bounded table before removing the nightly export

Explanation

Correct Answer

A:

Compare connector support, freshness SLA, cost and source load for point_of_sale_receipts_east directly investigates the evidence (evaluation finds supported managed CDC connector and tight freshness targets) and distinguishes possible causes of the point_of_sale_receipts_east producer is a managed enterprise database but engineers plan a custom nightly file scraper. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: data must reach Unity Catalog with near-real-time change capture.

Incorrect Answers

B:

Manual batch exports cannot meet continuous change freshness. The proposed action (Use monthly manual CSV downloads for a near-real-time feed at International coffee retailer) does not meet the requirement that data must reach Unity Catalog with near-real-time change capture, nor does it constitute the required pre-change investigation.

C:

Select Lakeflow Connect managed CDC rather than custom file snapshots where supported is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the point_of_sale_receipts_east scenario, the observed evidence is that evaluation finds supported managed CDC connector and tight freshness targets; the requirement remains: data must reach Unity Catalog with near-real-time change capture.

D:

Pilot managed CDC for a bounded table before removing the nightly export 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 evaluation finds supported managed CDC connector and tight freshness targets. Here, the relevant situation is: the point-of-sale receipts workflow depends on point_of_sale_receipts_east. Engineers report that the….

Question 662

At Optical instrument maker, the device calibration readings workflow depends on device_calibration_readings_urban. Engineers report that device_calibration_readings_urban needs a normalized discount amount but the pipeline overwrites the source field; the evidence is that code review shows an arithmetic expression replacing original gross_sales. They require that auditors require gross and net amounts independently. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which pre-change diagnostic will resolve the uncertainty?

  1. Deploy the expression to silver with explicit numeric-type handling
  2. Inspect expression dependencies and column lineage for device_calibration_readings_urban
  3. Use withColumn to add a derived net amount while keeping gross_sales unchanged
  4. Overwrite the only gross amount and discard source values at Optical instrument maker

Explanation

Correct Answer

B:

Inspect expression dependencies and column lineage for device_calibration_readings_urban directly investigates the evidence (code review shows an arithmetic expression replacing original gross_sales) and distinguishes possible causes of device_calibration_readings_urban needs a normalized discount amount but the pipeline overwrites the source field. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: auditors require gross and net amounts independently.

Incorrect Answers

A:

Deploy the expression to silver with explicit numeric-type handling 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 code review shows an arithmetic expression replacing original gross_sales. Here, the relevant situation is: the device calibration readings workflow depends on device_calibration_readings_urban. Engineers report that….

C:

Use withColumn to add a derived net amount while keeping gross_sales unchanged is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the device_calibration_readings_urban scenario, the observed evidence is that code review shows an arithmetic expression replacing original gross_sales; the requirement remains: auditors require gross and net amounts independently.

D:

Overwriting original financial evidence breaks reconciliation. The proposed action (Overwrite the only gross amount and discard source values at Optical instrument maker) does not meet the requirement that auditors require gross and net amounts independently, nor does it constitute the required pre-change investigation.

Question 663

At Multinational parts distributor, the Delta transaction isolation workflow handles warehouse movement logs. The problem is that two concurrent writers update warehouse_movement_logs_central and a reader sometimes sees inconsistent exported copies. Evidence: the write log shows independent files were replaced while an ETL job was reading them. Constraint: readers require consistent committed versions without pausing ingest. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which investigation is the strongest first step?

  1. Inspect commit history and concurrent writer conflict details 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. Convert the staging copy and cut over readers only after commit and rollback tests

Explanation

Correct Answer

A:

Inspect commit history and concurrent writer conflict details for warehouse_movement_logs_central directly investigates the evidence (the write log shows independent files were replaced while an ETL job was reading them) and distinguishes possible causes of two concurrent writers update warehouse_movement_logs_central and a reader sometimes sees inconsistent exported copies. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: 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 the required pre-change investigation 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 the required pre-change investigation.

D:

Convert the staging copy and cut over readers only after commit and rollback tests 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 write log shows independent files were replaced while an ETL job was reading them. Here, the relevant situation is: the Delta transaction isolation workflow handles warehouse movement logs. The problem is that two concurrent writers….

Question 664

At Municipal waste service, the dashboard task ordering workflow handles collection telemetry. The problem is that collection_telemetry_highland executive dashboard refreshes before its gold dataset is updated. Evidence: job run graph has no edge from aggregation to dashboard refresh. Constraint: 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. Which change can be introduced with minimal production risk?

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

Explanation

Correct Answer

B:

Configure dashboard refresh after the aggregation task with failure handling provides a bounded way to introduce the approved solution into collection_telemetry_highland 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

A:

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

C:

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 collection_telemetry_highland 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.

D:

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 collection_telemetry_highland; a passing test cannot substitute for the specific task now required.

Question 665

Consider the fare_validation_events_east workload at Public transport authority: mobile fare_validation_events_east events arrive late and sometimes duplicate within an event-time window. Inspection found that several event IDs reappear after an offline device reconnect. The governed outcome must ensure that the stream must remove duplicates without retaining infinite state. 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. Inject duplicate and late events and verify the defined retention tradeoff
  2. Test streaming replay with simulated delay and state checkpointing
  3. Deduplicate with stable event IDs and a bounded event-time watermark
  4. Retain every key forever in unbounded streaming state at Public transport authority

Explanation

Correct Answer

B:

Test streaming replay with simulated delay and state checkpointing provides a bounded way to introduce the approved solution into fare_validation_events_east and detect an early mismatch. The existing signal is several event IDs reappear after an offline device reconnect; a staged change protects the service requirement (the stream must remove duplicates without retaining infinite state) and makes rollback practical.

Incorrect Answers

A:

Inject duplicate and late events and verify the defined retention tradeoff is a one-time acceptance check. It does not supply the controlled implementation step for fare_validation_events_east; a passing test cannot substitute for the specific task now required.

C:

Deduplicate with stable event IDs and a bounded event-time watermark is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the fare_validation_events_east scenario, the observed evidence is that several event IDs reappear after an offline device reconnect; the requirement remains: the stream must remove duplicates without retaining infinite state.

D:

Unbounded state eventually destabilizes a long-running stream. The proposed action (Retain every key forever in unbounded streaming state at Public transport authority) does not meet the requirement that the stream must remove duplicates without retaining infinite state, nor does it constitute the controlled implementation step.

Question 666

At Food delivery franchise, the disk spilling due to memory workflow handles dispatch and delivery status. The problem is that dispatch_and_delivery_status_highland sort aggregation spills gigabytes of intermediates to disk. Evidence: stage metrics show spilled bytes and GC pressure on executors. Constraint: the job should improve without losing aggregation accuracy. The first acceptance run passed. The current task is to detect future regressions and changes over time. Which monitoring approach will detect newly emerging defects?

  1. Verify output and decreased spill plus completion time
  2. Monitor memory spill and long-GC trends for dispatch_and_delivery_status_highland
  3. Right-size memory or repartition workload based on measured per-task pressure
  4. Disable logs and assume spilled data was never written at Food delivery franchise

Explanation

Correct Answer

B:

Monitor memory spill and long-GC trends for dispatch_and_delivery_status_highland creates recurring visibility into the failure mode (dispatch_and_delivery_status_highland sort aggregation spills gigabytes of intermediates to disk). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while the job should improve without losing aggregation accuracy.

Incorrect Answers

A:

Verify output and decreased spill plus completion time is a one-time acceptance check. It does not supply continuing operational detection for dispatch_and_delivery_status_highland; a passing test cannot substitute for the specific task now required.

C:

Right-size memory or repartition workload based on measured per-task pressure is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the dispatch_and_delivery_status_highland scenario, the observed evidence is that stage metrics show spilled bytes and GC pressure on executors; the requirement remains: the job should improve without losing aggregation accuracy.

D:

Missing telemetry cannot correct memory pressure. The proposed action (Disable logs and assume spilled data was never written at Food delivery franchise) does not meet the requirement that the job should improve without losing aggregation accuracy, nor does it constitute continuing operational detection.

Question 667

At Manufacturing quality network, the Unity Catalog namespace workflow handles factory defect records. The problem is that engineers refer to factory_defect_records_west by an ambiguous two-part name and access the wrong environment. Evidence: the same schema and table names exist under development and production catalogs. Constraint: code must resolve a single governed production object. The first acceptance run passed. The current task is to detect future regressions and changes over time. Which monitoring approach will detect newly emerging defects?

  1. Use catalog.schema.table identifiers with explicit Unity Catalog ownership
  2. Depend on each user's default catalog to identify the production table at Manufacturing quality network
  3. Audit cross-catalog references and unexpected access to factory_defect_records_west
  4. Resolve the intended table from the job identity and confirm prod/development isolation

Explanation

Correct Answer

C:

Audit cross-catalog references and unexpected access to factory_defect_records_west creates recurring visibility into the failure mode (engineers refer to factory_defect_records_west by an ambiguous two-part name and access the wrong environment). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while code must resolve a single governed production object.

Incorrect Answers

A:

Use catalog.schema.table identifiers with explicit Unity Catalog ownership is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the factory_defect_records_west scenario, the observed evidence is that the same schema and table names exist under development and production catalogs; the requirement remains: code must resolve a single governed production object.

B:

Implicit current-catalog resolution makes production writes ambiguous. The proposed action (Depend on each user's default catalog to identify the production table at Manufacturing quality network) does not meet the requirement that code must resolve a single governed production object, nor does it constitute continuing operational detection.

D:

Resolve the intended table from the job identity and confirm prod/development isolation is a one-time acceptance check. It does not supply continuing operational detection for factory_defect_records_west; a passing test cannot substitute for the specific task now required.

Question 668

Consider the product_sales_transactions_island workload at Online bicycle retailer: product_sales_transactions_island job fails after a Python library upgrade despite unchanged notebook code. Inspection found that driver logs show incompatible package versions imported at startup. The governed outcome must ensure that dependency versions must be reproducible across production runs. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. How should the team verify the original fault has been addressed?

  1. Rebuild a test environment with locked dependencies and execute a smoke run
  2. Install random latest packages on shared production compute at Online bicycle retailer
  3. Compare installed libraries, runtime version and import trace for product_sales_transactions_island
  4. Verify the failing import and transformation work in clean compute

Explanation

Correct Answer

D:

Verify the failing import and transformation work in clean compute directly tests the behavior that should change after the correction. With the observed evidence (driver logs show incompatible package versions imported at startup), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that dependency versions must be reproducible across production runs.

Incorrect Answers

A:

Rebuild a test environment with locked dependencies and execute a smoke run 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 driver logs show incompatible package versions imported at startup.

B:

Uncontrolled upgrades can introduce new incompatibilities. The proposed action (Install random latest packages on shared production compute at Online bicycle retailer) does not meet the requirement that dependency versions must be reproducible across production runs, nor does it constitute the post-change acceptance test.

C:

Compare installed libraries, runtime version and import trace for product_sales_transactions_island could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The product_sales_transactions_island workflow still requires that dependency versions must be reproducible across production runs.

Question 669

At Public pension trustee, the ingestion schema rescue workflow handles monthly pension movements. The problem is that the monthly_pension_movements_rural CSV feed has unrecognized optional columns and the ingest silently discards them. Evidence: raw samples show new attributes that do not appear in the bronze output. Constraint: unknown values must remain auditable even before mapping is approved. The target approach is approved. The current task is to introduce it safely with bounded scope and rollback. Which change can be introduced with minimal production risk?

  1. Verify unexpected columns are still recoverable without breaking known fields
  2. Roll out controlled schema rules and record each new rescued field
  3. Retain unexpected fields in a rescued-data column or quarantined bronze path
  4. Overwrite source files after dropping all unrecognized fields at Public pension trustee

Explanation

Correct Answer

B:

Roll out controlled schema rules and record each new rescued field provides a bounded way to introduce the approved solution into monthly_pension_movements_rural and detect an early mismatch. The existing signal is raw samples show new attributes that do not appear in the bronze output; a staged change protects the service requirement (unknown values must remain auditable even before mapping is approved) and makes rollback practical.

Incorrect Answers

A:

Verify unexpected columns are still recoverable without breaking known fields is a one-time acceptance check. It does not supply the controlled implementation step for monthly_pension_movements_rural; a passing test cannot substitute for the specific task now required.

C:

Retain unexpected fields in a rescued-data column or quarantined bronze path is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the monthly_pension_movements_rural scenario, the observed evidence is that raw samples show new attributes that do not appear in the bronze output; the requirement remains: unknown values must remain auditable even before mapping is approved.

D:

Discarded raw fields cannot be reconstructed during audit. The proposed action (Overwrite source files after dropping all unrecognized fields at Public pension trustee) does not meet the requirement that unknown values must remain auditable even before mapping is approved, nor does it constitute the controlled implementation step.

Question 670

At Regional sporting venue, the admission scan events workflow depends on admission_scan_events_metro. Engineers report that admission_scan_events_metro provider needs to offer a governed read-only subset to an external partner; the evidence is that partner does not have workspace access but needs fresh authorized data. They require that sharing must not distribute uncontrolled file copies or edit privileges. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. Which post-change acceptance check is strongest?

  1. Email raw Delta storage credentials and allow partner writes at Regional sporting venue
  2. Add one approved dataset to the share and grant recipient access
  3. Inventory recipient type, share permissions and approved datasets for admission_scan_events_metro
  4. Query as the recipient and verify only intended datasets are visible

Explanation

Correct Answer

D:

Query as the recipient and verify only intended datasets are visible directly tests the behavior that should change following the correction. With the observed evidence (partner does not have workspace access but needs fresh authorized data), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that sharing must not distribute uncontrolled file copies or edit privileges.

Incorrect Answers

A:

Sharing object-storage secrets bypasses governed read-only access. The proposed action (Email raw Delta storage credentials and allow partner writes at Regional sporting venue) does not meet the requirement that sharing must not distribute uncontrolled file copies or edit privileges, nor does it constitute the post-change acceptance test.

B:

Add one approved dataset to the share and grant recipient access 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 partner does not have workspace access but needs fresh authorized data. Here, the relevant situation is: the admission scan events workflow depends on admission_scan_events_metro. Engineers report that….

C:

Inventory recipient type, share permissions and approved datasets for admission_scan_events_metro could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The admission_scan_events_metro workflow still requires that sharing must not distribute uncontrolled file copies or edit privileges.

Certified Data Engineer Associate Practice Tests