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Databricks Certified Data Engineer Associate Practice Test 82

Question 810

A data engineer at Public weather agency is responsible for station observation files. The skewed join key issue is that station_observation_files_rural join hangs on one task while almost every task completes quickly. The supporting evidence is that Spark UI reveals one partition contains most rows for a hot customer key. The engineer must ensure that optimization must preserve all correct joined rows. 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. Address skew with AQE skew handling or justified key-salting strategy
  2. Test skew-aware join on representative hot and cold key samples
  3. Verify exact join output and reduced straggler duration
  4. Drop the most frequent business key to balance partitions at Public weather agency

Explanation

Correct Answer

B:

Test skew-aware join on representative hot and cold key samples provides a bounded way to introduce the approved solution into station_observation_files_rural and detect an early mismatch. The existing signal is Spark UI reveals one partition contains most rows for a hot customer key; a staged change protects the service requirement (optimization must preserve all correct joined rows) and makes rollback practical.

Incorrect Answers

A:

Address skew with AQE skew handling or justified key-salting strategy is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the station_observation_files_rural scenario, the observed evidence is that Spark UI reveals one partition contains most rows for a hot customer key; the requirement remains: optimization must preserve all correct joined rows.

C:

Verify exact join output and reduced straggler duration is a one-time acceptance check. It does not supply the controlled implementation step for station_observation_files_rural; a passing test cannot substitute for the specific task now required.

D:

Dropping a hot key loses legitimate data. The proposed action (Drop the most frequent business key to balance partitions at Public weather agency) does not meet the requirement that optimization must preserve all correct joined rows, nor does it constitute the controlled implementation step.

Question 811

At Community energy cooperative, the SQL warehouse suitability workflow handles smart meter readings. The problem is that BI users query smart_meter_readings_metro through engineering notebook compute with unpredictable startup and permissions. Evidence: query history shows short read-only dashboards competing with development Spark sessions. Constraint: analysts need governed SQL concurrency and stable refresh latency. 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. Migrate one dashboard and verify warehouse permissions and query plans
  2. Run representative concurrent queries and compare latency and spend
  3. Grant BI users unrestricted notebook cluster administration at Community energy cooperative
  4. Serve the BI workload on an appropriately sized SQL warehouse with Unity Catalog access

Explanation

Correct Answer

A:

Migrate one dashboard and verify warehouse permissions and query plans provides a bounded way to introduce the approved solution into smart_meter_readings_metro and detect an early mismatch. The existing signal is query history shows short read-only dashboards competing with development Spark sessions; a staged change protects the service requirement (analysts need governed SQL concurrency and stable refresh latency) and makes rollback practical.

Incorrect Answers

B:

Run representative concurrent queries and compare latency and spend is a one-time acceptance check. It does not supply the controlled implementation step for smart_meter_readings_metro; a passing test cannot substitute for the specific task now required.

C:

Broad compute administration is not necessary to query governed bi data. The proposed action (Grant BI users unrestricted notebook cluster administration at Community energy cooperative) does not meet the requirement that analysts need governed SQL concurrency and stable refresh latency, nor does it constitute the controlled implementation step.

D:

Serve the BI workload on an appropriately sized SQL warehouse with Unity Catalog access is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the smart_meter_readings_metro scenario, the observed evidence is that query history shows short read-only dashboards competing with development Spark sessions; the requirement remains: analysts need governed SQL concurrency and stable refresh latency.

Question 812

Consider the collection_telemetry_south workload at Municipal waste service: collection_telemetry_south aggregation spends more time in shuffle than in input scanning. Inspection found that Spark UI shows large shuffle read/write and long exchange stages. The governed outcome must ensure that the transformation must preserve results while reducing unnecessary data movement. The first acceptance run passed. The current task is to detect future regressions and changes over time. Which continuing signal best reveals recurrence or drift?

  1. Increase driver memory alone and assume shuffle disappears at Municipal waste service
  2. Monitor shuffle read bytes, stage latency and task failures for collection_telemetry_south
  3. Compare result equivalence and shuffle bytes before and after tuning
  4. Reduce avoidable shuffles through appropriate join strategy and pre-aggregation

Explanation

Correct Answer

B:

Monitor shuffle read bytes, stage latency and task failures for collection_telemetry_south creates recurring visibility into the failure mode (collection_telemetry_south aggregation spends more time in shuffle than in input scanning). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while the transformation must preserve results while reducing unnecessary data movement.

Incorrect Answers

A:

Driver sizing does not remove distributed shuffle operations. The proposed action (Increase driver memory alone and assume shuffle disappears at Municipal waste service) does not meet the requirement that the transformation must preserve results while reducing unnecessary data movement, nor does it constitute continuing operational detection.

C:

Compare result equivalence and shuffle bytes before and after tuning is a one-time acceptance check. It does not supply continuing operational detection for collection_telemetry_south; a passing test cannot substitute for the specific task now required.

D:

Reduce avoidable shuffles through appropriate join strategy and pre-aggregation is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the collection_telemetry_south scenario, the observed evidence is that Spark UI shows large shuffle read/write and long exchange stages; the requirement remains: the transformation must preserve results while reducing unnecessary data movement.

Question 813

At Coastal freight alliance, the SQL DENY governance scope workflow handles shipment manifests. The problem is that shipment_manifests_west access exception uses a DENY policy without verifying feature support and scope. Evidence: review finds the target resource is outside the supported ABAC deny-policy securable types. Constraint: authorization must use supported policy semantics without assuming beta behavior. 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 supported UC grants and only supported ABAC deny policies where available
  2. Assume any DENY syntax universally applies to all Unity Catalog objects at Coastal freight alliance
  3. Test denied and permitted identities on the exact target object
  4. Monitor policy evaluation errors and unauthorized grants for shipment_manifests_west

Explanation

Correct Answer

D:

Monitor policy evaluation errors and unauthorized grants for shipment_manifests_west creates recurring visibility into the failure mode (shipment_manifests_west access exception uses a DENY policy without verifying feature support and scope). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while authorization must use supported policy semantics without assuming beta behavior.

Incorrect Answers

A:

Use supported UC grants and only supported ABAC deny policies where available is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the shipment_manifests_west scenario, the observed evidence is that review finds the target resource is outside the supported ABAC deny-policy securable types; the requirement remains: authorization must use supported policy semantics without assuming beta behavior.

B:

Beta deny policy semantics are not universal to every securable type. The proposed action (Assume any DENY syntax universally applies to all Unity Catalog objects at Coastal freight alliance) does not meet the requirement that authorization must use supported policy semantics without assuming beta behavior, nor does it constitute continuing operational detection.

C:

Test denied and permitted identities on the exact target object is a one-time acceptance check. It does not supply continuing operational detection for shipment_manifests_west; a passing test cannot substitute for the specific task now required.

Question 814

A data engineer at Airport facilities operator is responsible for maintenance work orders. The CDC primary key and updates issue is that the maintenance_work_orders_central relational source emits inserts and updates but the lakehouse target retains multiple current versions. The supporting evidence is that change records carry primary keys and update sequence numbers. The engineer must ensure that the destination must represent the latest source state without losing required history. 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. Append every change as a new current row without keys at Airport facilities operator
  2. Introduce change capture on a small table and reconcile the initial snapshot
  3. Inspect key uniqueness, update order and delete semantics in maintenance_work_orders_central
  4. Use supported CDC apply logic with keys, ordering and defined delete handling

Explanation

Correct Answer

C:

Inspect key uniqueness, update order and delete semantics in maintenance_work_orders_central directly investigates the evidence (change records carry primary keys and update sequence numbers) and distinguishes possible causes of the maintenance_work_orders_central relational source emits inserts and updates but the lakehouse target retains multiple current versions. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: the destination must represent the latest source state without losing required history.

Incorrect Answers

A:

An append-only current-state table does not resolve updates or deletes. The proposed action (Append every change as a new current row without keys at Airport facilities operator) does not meet the requirement that the destination must represent the latest source state without losing required history, nor does it constitute the required pre-change investigation.

B:

Introduce change capture on a small table and reconcile the initial snapshot 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 change records carry primary keys and update sequence numbers. This matters here because a data engineer at Airport facilities operator is responsible for maintenance work orders. The CDC primary key and….

D:

Use supported CDC apply logic with keys, ordering and defined delete handling is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the maintenance_work_orders_central scenario, the observed evidence is that change records carry primary keys and update sequence numbers; the requirement remains: the destination must represent the latest source state without losing required history.

Question 815

The fare_validation_events_rural pipeline at Public transport authority has this failure: the fare_validation_events_rural SQL source is polled hourly but every run extracts its entire ten-year table. The team observed that source query logs show full scans despite an indexed updated_at column. Business requirement: new and changed rows must load with a replay-safe high-water mark. The target approach is approved. The current task is to introduce it safely with bounded scope and rollback. What should be done next to deploy the approved solution?

  1. Run an initial backfill, then advance a tested watermark only after successful commit
  2. Modify an old row and verify incremental fetch plus merge applies its update
  3. Use bounded incremental JDBC reads with a persisted watermark and merge keys
  4. Advance the stored watermark before persisting the extracted batch at Public transport authority

Explanation

Correct Answer

A:

Run an initial backfill, then advance a tested watermark only after successful commit provides a bounded way to introduce the approved solution into fare_validation_events_rural and detect an early mismatch. The existing signal is source query logs show full scans despite an indexed updated_at column; a staged change protects the service requirement (new and changed rows must load with a replay-safe high-water mark) and makes rollback practical.

Incorrect Answers

B:

Modify an old row and verify incremental fetch plus merge applies its update is a one-time acceptance check. It does not supply the controlled implementation step for fare_validation_events_rural; a passing test cannot substitute for the specific task now required.

C:

Use bounded incremental JDBC reads with a persisted watermark and merge keys is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the fare_validation_events_rural scenario, the observed evidence is that source query logs show full scans despite an indexed updated_at column; the requirement remains: new and changed rows must load with a replay-safe high-water mark.

D:

Premature watermark advancement can lose rows on failure. The proposed action (Advance the stored watermark before persisting the extracted batch at Public transport authority) does not meet the requirement that new and changed rows must load with a replay-safe high-water mark, nor does it constitute the controlled implementation step.

Question 816

At Clinical diagnostics network, the MERGE key update workflow handles lab sample events. The problem is that lab_sample_events_delta delta target must apply corrected invoice amounts from an incremental feed. Evidence: the source has two updates for the same invoice_id in one batch. Constraint: target must have one latest value per invoice after applying ordered changes. 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. MERGE with multiple unfiltered source matches per target key at Clinical diagnostics network
  2. Monitor ambiguous matches and merge row-change counts for lab_sample_events_delta
  3. Use Delta MERGE with a deduplicated source on invoice_id and matched update logic
  4. Verify one current row per ID and updated values after retries

Explanation

Correct Answer

B:

Monitor ambiguous matches and merge row-change counts for lab_sample_events_delta creates recurring visibility into the failure mode (lab_sample_events_delta delta target must apply corrected invoice amounts from an incremental feed). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while target must have one latest value per invoice after applying ordered changes.

Incorrect Answers

A:

Ambiguous multiple source matches can make updates nondeterministic or fail. The proposed action (MERGE with multiple unfiltered source matches per target key at Clinical diagnostics network) does not meet the requirement that target must have one latest value per invoice after applying ordered changes, nor does it constitute continuing operational detection.

C:

Use Delta MERGE with a deduplicated source on invoice_id and matched update logic is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the lab_sample_events_delta scenario, the observed evidence is that the source has two updates for the same invoice_id in one batch; the requirement remains: target must have one latest value per invoice after applying ordered changes.

D:

Verify one current row per ID and updated values after retries is a one-time acceptance check. It does not supply continuing operational detection for lab_sample_events_delta; a passing test cannot substitute for the specific task now required.

Question 817

The rental_subsidy_payments_east pipeline at Urban housing fund has this failure: a nightly load of rental_subsidy_payments_east repeats files from yesterday and developers fear duplicate inserts. The team observed that the same object-storage folder is scanned on each scheduled run. Business requirement: 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 should the engineer inspect to establish the failure mechanism?

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

Explanation

Correct Answer

A:

Inspect file-level load history and path visibility for rental_subsidy_payments_east directly investigates the evidence (the same object-storage folder is scanned on each scheduled run) and distinguishes possible causes of a nightly load of rental_subsidy_payments_east 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

B:

A blind append can duplicate previously processed records. The proposed action (Run unconditional INSERT SELECT over the complete folder on every retry at Urban housing fund) 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.

C:

Schedule COPY INTO for rental_subsidy_payments_east 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.

D:

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 rental_subsidy_payments_east 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.

Question 818

At University research consortium, the REST pagination and retries workflow handles experiment records. The problem is that the experiment_records_metro partner API returns 100 rows per page but the batch stores only the first page. Evidence: response metadata includes a next cursor that the client ignores. Constraint: all authorized records must be imported without exceeding API limits. 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 response cursor, throttle status and stable identity for experiment_records_metro
  2. Stop after one successful HTTP 200 response at University research consortium
  3. Implement cursor pagination with bounded retries and idempotent destination keys
  4. Test pagination on a multi-page source with backoff for HTTP 429

Explanation

Correct Answer

A:

Inspect response cursor, throttle status and stable identity for experiment_records_metro directly investigates the evidence (response metadata includes a next cursor that the client ignores) and distinguishes possible causes of the experiment_records_metro partner API returns 100 rows per page but the batch stores only the first page. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: all authorized records must be imported without exceeding API limits.

Incorrect Answers

B:

A successful first page does not establish completeness. The proposed action (Stop after one successful HTTP 200 response at University research consortium) does not meet the requirement that all authorized records must be imported without exceeding API limits, nor does it constitute the required pre-change investigation.

C:

Implement cursor pagination with bounded retries and idempotent destination keys is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the experiment_records_metro scenario, the observed evidence is that response metadata includes a next cursor that the client ignores; the requirement remains: all authorized records must be imported without exceeding API limits.

D:

Test pagination on a multi-page source with backoff for HTTP 429 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 response metadata includes a next cursor that the client ignores. Here, the relevant situation is: the REST pagination and retries workflow handles experiment records. The problem is that the….

Question 819

At Environmental inspection office, the sampling field notes workflow depends on sampling_field_notes_north. Engineers report that sampling_field_notes_north reporting team plans to drop a UC-managed table but needs its data files retained; the evidence is that table ownership review shows storage lifecycle controlled by Unity Catalog. They require that a cleanup must not accidentally delete retained source data. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. Which platform or PySpark choice best fits the stated semantics?

  1. Choose managed or external table lifecycle deliberately for the retention requirement
  2. Assume managed and external tables always have identical drop semantics at Environmental inspection office
  3. Inspect table type, location and intended retention before dropping sampling_field_notes_north
  4. Monitor orphaned external paths and accidental managed-table deletion for sampling_field_notes_north

Explanation

Correct Answer

A:

Choose managed or external table lifecycle deliberately for the retention requirement is the intended durable approach for sampling_field_notes_north: it addresses the verified problem (sampling_field_notes_north reporting team plans to drop a UC-managed table but needs its data files retained) while preserving the required behavior (a cleanup must not accidentally delete retained source data). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

B:

Uc table type affects ownership and managed data lifecycle. The proposed action (Assume managed and external tables always have identical drop semantics at Environmental inspection office) does not meet the requirement that a cleanup must not accidentally delete retained source data, nor does it constitute the target approach.

C:

Inspect table type, location and intended retention before dropping sampling_field_notes_north could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The sampling_field_notes_north workflow still requires that a cleanup must not accidentally delete retained source data.

D:

Monitor orphaned external paths and accidental managed-table deletion for sampling_field_notes_north would help detect future recurrence, but metrics alone do not deliver the target approach. The sampling_field_notes_north requirement is that a cleanup must not accidentally delete retained source data.

Question 820

The maintenance_work_orders_north pipeline at Airport facilities operator has this failure: maintenance_work_orders_north bronze records include null business IDs that break downstream joins. The team observed that profiling identifies a small fraction of missing identifiers plus valid optional fields. Business requirement: silver must reject missing required keys but preserve optional null attributes. 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. Filter or quarantine null required IDs while applying explicit nullable rules to optional columns
  2. Call fillna on every field with zero regardless of semantic type at Airport facilities operator
  3. Track rejected-row percentage and null-key source patterns in maintenance_work_orders_north
  4. Profile required versus nullable fields and sample failed maintenance_work_orders_north records

Explanation

Correct Answer

A:

Filter or quarantine null required IDs while applying explicit nullable rules to optional columns is the intended durable approach for maintenance_work_orders_north: it addresses the verified problem (maintenance_work_orders_north bronze records include null business IDs that break downstream joins) while preserving the required behavior (silver must reject missing required keys but preserve optional null attributes). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

B:

Blanket replacement changes data meaning and can corrupt types. The proposed action (Call fillna on every field with zero regardless of semantic type at Airport facilities operator) does not meet the requirement that silver must reject missing required keys but preserve optional null attributes, nor does it constitute the target approach.

C:

Track rejected-row percentage and null-key source patterns in maintenance_work_orders_north would help detect future recurrence, but metrics alone do not deliver the target approach. The maintenance_work_orders_north requirement is that silver must reject missing required keys but preserve optional null attributes.

D:

Profile required versus nullable fields and sample failed maintenance_work_orders_north records could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The maintenance_work_orders_north workflow still requires that silver must reject missing required keys but preserve optional null attributes.

Certified Data Engineer Associate Practice Tests