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Databricks Certified Data Engineer Associate Practice Test 84

Question 830

The artifact_metadata_updates_metro pipeline at Regional museum alliance has this failure: artifact_metadata_updates_metro delta target must apply corrected invoice amounts from an incremental feed. The team observed that the source has two updates for the same invoice_id in one batch. Business requirement: target must have one latest value per invoice after applying ordered changes. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. What test most directly proves the requirement is satisfied?

  1. MERGE with multiple unfiltered source matches per target key at Regional museum alliance
  2. Identify stable merge keys and deduplicate multiple updates in the batch for artifact_metadata_updates_metro
  3. Test MERGE on a small target and rerun an identical source batch
  4. Verify one current row per ID and updated values after retries

Explanation

Correct Answer

D:

Verify one current row per ID and updated values after retries directly tests the behavior that should change following the correction. With the observed evidence (the source has two updates for the same invoice_id in one batch), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that 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 Regional museum alliance) does not meet the requirement that target must have one latest value per invoice after applying ordered changes, nor does it constitute the post-change acceptance test.

B:

Identify stable merge keys and deduplicate multiple updates in the batch for artifact_metadata_updates_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 artifact_metadata_updates_metro workflow still requires that target must have one latest value per invoice after applying ordered changes.

C:

Test MERGE on a small target and rerun an identical source batch 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 source has two updates for the same invoice_id in one batch. This matters here because the artifact_metadata_updates_metro pipeline at Regional museum alliance has this failure:….

Question 831

A data engineer at Food delivery franchise is responsible for dispatch and delivery status. The scheduled job timezone issue is that dispatch_and_delivery_status_coastal overnight export fires one hour early after daylight-saving changes. The supporting evidence is that run history shows schedule configured in a different timezone than business cutoff. The engineer must ensure that the export must complete relative to the local reporting calendar. 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. Verify triggers across DST transition dates against business calendar
  2. Change the job schedule in a test environment and review next fire times
  3. Configure Lakeflow scheduled trigger using an explicit timezone and cutoff
  4. Assume all local timezones have the same UTC offset year-round at Food delivery franchise

Explanation

Correct Answer

B:

Change the job schedule in a test environment and review next fire times provides a bounded way to introduce the approved solution into dispatch_and_delivery_status_coastal and detect an early mismatch. The existing signal is run history shows schedule configured in a different timezone than business cutoff; a staged change protects the service requirement (the export must complete relative to the local reporting calendar) and makes rollback practical.

Incorrect Answers

A:

Verify triggers across DST transition dates against business calendar is a one-time acceptance check. It does not supply the controlled implementation step for dispatch_and_delivery_status_coastal; a passing test cannot substitute for the specific task now required.

C:

Configure Lakeflow scheduled trigger using an explicit timezone and cutoff is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the dispatch_and_delivery_status_coastal scenario, the observed evidence is that run history shows schedule configured in a different timezone than business cutoff; the requirement remains: the export must complete relative to the local reporting calendar.

D:

Timezones with dst can shift relative to utc. The proposed action (Assume all local timezones have the same UTC offset year-round at Food delivery franchise) does not meet the requirement that the export must complete relative to the local reporting calendar, nor does it constitute the controlled implementation step.

Question 832

At Public weather agency, the station observation files workflow depends on station_observation_files_highland. Engineers report that a station_observation_files_highland source has a compatible connector but existing custom scripts have divergent retries; the evidence is that logs show different authentication and pagination paths across team-owned scripts. They require that ingestion must be standardized under governed destinations. 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. Use the supported Lakeflow Connect standard connector with scoped source access
  2. Let every notebook invent a new unscheduled direct source sync at Public weather agency
  3. Monitor source offset, failed pages and connector task errors for station_observation_files_highland
  4. Compare loaded rows and source bookmarks before switching production

Explanation

Correct Answer

C:

Monitor source offset, failed pages and connector task errors for station_observation_files_highland creates recurring visibility into the failure mode (a station_observation_files_highland source has a compatible connector but existing custom scripts have divergent retries). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while ingestion must be standardized under governed destinations.

Incorrect Answers

A:

Use the supported Lakeflow Connect standard connector with scoped source access is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the station_observation_files_highland scenario, the observed evidence is that logs show different authentication and pagination paths across team-owned scripts; the requirement remains: ingestion must be standardized under governed destinations.

B:

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 continuing operational detection.

D:

Compare loaded rows and source bookmarks before switching production is a one-time acceptance check. It does not supply continuing operational detection for station_observation_files_highland; a passing test cannot substitute for the specific task now required.

Question 833

Consider the lab_sample_events_urban workload at Clinical diagnostics network: the lab_sample_events_urban import creates a single malformed column because input format settings are wrong. Inspection found that source inspection shows UTF-8 CSV with an explicit header and quoted delimiters. The governed outcome must ensure that all source columns must map to the intended typed Delta fields. 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. Inspect sample files and COPY INTO format options for lab_sample_events_urban
  2. Load comma-separated records with JSON parsing and suppress all errors at Clinical diagnostics network
  3. Compare parsed field count, null patterns and source record counts
  4. Test the file format on a small sample, then run the governed target load

Explanation

Correct Answer

C:

Compare parsed field count, null patterns and source record counts directly tests the behavior that should change after the correction. With the observed evidence (source inspection shows UTF-8 CSV with an explicit header and quoted delimiters), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that all source columns must map to the intended typed Delta fields. This matters here because consider the lab_sample_events_urban workload at Clinical diagnostics network: the lab_sample_events_urban import….

Incorrect Answers

A:

Inspect sample files and COPY INTO format options for lab_sample_events_urban could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The lab_sample_events_urban workflow still requires that all source columns must map to the intended typed Delta fields.

B:

The parser would misread the source schema rather than fix its mapping. The proposed action (Load comma-separated records with JSON parsing and suppress all errors at Clinical diagnostics network) does not meet the requirement that all source columns must map to the intended typed Delta fields, nor does it constitute the post-change acceptance test.

D:

Test the file format on a small sample, then run the governed target load 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 source inspection shows UTF-8 CSV with an explicit header and quoted delimiters. This matters here because consider the lab_sample_events_urban workload at Clinical diagnostics network: the lab_sample_events_urban import….

Question 834

Consider the appointment_requests_south workload at Pet-care booking platform: appointment_requests_south team schedules a SQL aggregation by opening a dashboard manually. Inspection found that history shows a query can run on SQL warehouse but has no job task. The governed outcome must ensure that the query must run automatically before downstream export. 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. Monitor SQL task errors and warehouse availability for appointment_requests_south
  2. Trigger the job and verify SQL query result is available before export
  3. Use a Lakeflow SQL query task configured with suitable warehouse and dependencies
  4. Ask analysts to click Run on the query each morning at Pet-care booking platform

Explanation

Correct Answer

A:

Monitor SQL task errors and warehouse availability for appointment_requests_south creates recurring visibility into the failure mode (appointment_requests_south team schedules a SQL aggregation by opening a dashboard manually). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while the query must run automatically before downstream export.

Incorrect Answers

B:

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

C:

Use a Lakeflow SQL query task configured with suitable warehouse and dependencies is a plausible lasting design once chosen, but it does not perform continuing operational detection 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.

D:

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 continuing operational detection.

Question 835

The collection_telemetry_island pipeline at Municipal waste service has this failure: a streaming file reader for collection_telemetry_island reprocesses historical data after every job restart. The team observed that the streaming query creates a new checkpoint directory on each run. Business requirement: a restart must resume discovered files instead of replaying all existing input. 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. Restart after a micro-batch and confirm no duplicate file ingestion
  2. Configure cloudFiles with a stable checkpoint path for the collection_telemetry_island stream
  3. Delete checkpoint state as part of each successful load at Municipal waste service
  4. Monitor checkpoint accessibility and unexpected replay volume for collection_telemetry_island

Explanation

Correct Answer

D:

Monitor checkpoint accessibility and unexpected replay volume for collection_telemetry_island creates recurring visibility into the failure mode (a streaming file reader for collection_telemetry_island reprocesses historical data after every job restart). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while a restart must resume discovered files instead of replaying all existing input.

Incorrect Answers

A:

Restart after a micro-batch and confirm no duplicate file ingestion is a one-time acceptance check. It does not supply continuing operational detection for collection_telemetry_island; a passing test cannot substitute for the specific task now required.

B:

Configure cloudFiles with a stable checkpoint path for the collection_telemetry_island stream is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the collection_telemetry_island 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.

C:

Deleting checkpoint progress can cause full replay. The proposed action (Delete checkpoint state as part of each successful load at Municipal waste service) does not meet the requirement that a restart must resume discovered files instead of replaying all existing input, nor does it constitute continuing operational detection.

Question 836

At International language school, the gold streaming table workflow handles class enrollment data. The problem is that class_enrollment_data_north gold consumers need fresh incremental data from an append-only event feed. Evidence: the source produces new events continuously while downstream reports lag by hours. Constraint: materialized output must incorporate new events with recoverable processing state. 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. Measure source update shape, processing latency and offset semantics for class_enrollment_data_north
  2. Truncate and fully rebuild the target after every incoming event at International language school
  3. Deploy a streaming table with tested recovery checkpoints and refresh configuration
  4. Build a governed streaming table for continuous or triggered incremental append processing

Explanation

Correct Answer

A:

Measure source update shape, processing latency and offset semantics for class_enrollment_data_north directly investigates the evidence (the source produces new events continuously while downstream reports lag by hours) and distinguishes possible causes of class_enrollment_data_north gold consumers need fresh incremental data from an append-only event feed. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: materialized output must incorporate new events with recoverable processing state.

Incorrect Answers

B:

Full rebuilds are expensive and defeat incremental freshness goals. The proposed action (Truncate and fully rebuild the target after every incoming event at International language school) does not meet the requirement that materialized output must incorporate new events with recoverable processing state, nor does it constitute the required pre-change investigation.

C:

Deploy a streaming table with tested recovery checkpoints and refresh configuration 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 source produces new events continuously while downstream reports lag by hours. Here, the relevant situation is: the gold streaming table workflow handles class enrollment data. The problem is that class_enrollment_data_north….

D:

Build a governed streaming table for continuous or triggered incremental append processing is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the class_enrollment_data_north scenario, the observed evidence is that the source produces new events continuously while downstream reports lag by hours; the requirement remains: materialized output must incorporate new events with recoverable processing state.

Question 837

Consider the digitization_inventories_highland workload at National heritage library: digitization_inventories_highland notebook occasionally fails on transient service throttling. Inspection found that task failure records show HTTP 429 followed by a successful manual retry. The governed outcome must ensure that safe retries must not create duplicate output or run indefinitely. 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. Set infinite immediate retries for every failure including invalid SQL at National heritage library
  2. Enable retries on a noncritical task and use replay-safe output writes
  3. Inspect transient error types, output idempotency and historical retry behavior for digitization_inventories_highland
  4. Inject a temporary failure and verify eventual success without duplicated rows

Explanation

Correct Answer

D:

Inject a temporary failure and verify eventual success without duplicated rows directly tests the behavior that should change following the correction. With the observed evidence (task failure records show HTTP 429 followed by a successful manual retry), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that safe retries must not create duplicate output or run indefinitely.

Incorrect Answers

A:

Unbounded retries can overload services and conceal deterministic defects. The proposed action (Set infinite immediate retries for every failure including invalid SQL at National heritage library) does not meet the requirement that safe retries must not create duplicate output or run indefinitely, nor does it constitute the post-change acceptance test.

B:

Enable retries on a noncritical task and use replay-safe output writes 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 task failure records show HTTP 429 followed by a successful manual retry. This matters here because consider the digitization_inventories_highland workload at National heritage library:….

C:

Inspect transient error types, output idempotency and historical retry behavior for digitization_inventories_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 digitization_inventories_highland workflow still requires that safe retries must not create duplicate output or run indefinitely.

Question 838

At City library association, the streaming dedup and watermarks workflow handles borrower circulation events. The problem is that mobile borrower_circulation_events_coastal events arrive late and sometimes duplicate within an event-time window. Evidence: several event IDs reappear after an offline device reconnect. Constraint: 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 change can be introduced with minimal production risk?

  1. Test streaming replay with simulated delay and state checkpointing
  2. Inject duplicate and late events and verify the defined retention tradeoff
  3. Retain every key forever in unbounded streaming state at City library association
  4. Deduplicate with stable event IDs and a bounded event-time watermark

Explanation

Correct Answer

A:

Test streaming replay with simulated delay and state checkpointing provides a bounded way to introduce the approved solution into borrower_circulation_events_coastal 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

B:

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

C:

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

D:

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 borrower_circulation_events_coastal 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.

Question 839

Consider the render_job_telemetry_west workload at Media postproduction team: developers edit render_job_telemetry_west production notebooks directly and bypass code review. Inspection found that workspace Git history shows changes without a pull request. The governed outcome must ensure that releases need traceable approval and a recoverable commit. 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. Copy arbitrary notebook cells into production without a commit at Media postproduction team
  2. Verify deployed code hash matches the approved merged commit
  3. Commit and push the change, review it, then deploy the merged revision
  4. Inspect working branch, remote commit and protected-base rules for render_job_telemetry_west

Explanation

Correct Answer

B:

Verify deployed code hash matches the approved merged commit directly tests the behavior that should change following the correction. With the observed evidence (workspace Git history shows changes without a pull request), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that releases need traceable approval and a recoverable commit.

Incorrect Answers

A:

Untracked copies cannot reliably reproduce the approved source. The proposed action (Copy arbitrary notebook cells into production without a commit at Media postproduction team) does not meet the requirement that releases need traceable approval and a recoverable commit, nor does it constitute the post-change acceptance test.

C:

Commit and push the change, review it, then deploy the merged revision 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 workspace Git history shows changes without a pull request. This matters here because consider the render_job_telemetry_west workload at Media postproduction team: developers edit….

D:

Inspect working branch, remote commit and protected-base rules for render_job_telemetry_west could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The render_job_telemetry_west workflow still requires that releases need traceable approval and a recoverable commit.

Question 840

At Air quality nonprofit, the Photon and execution engine workflow handles pollution measurements. The problem is that the pollution_measurements_north SQL aggregation runs slowly on eligible compute despite a stable dataset. Evidence: query profiling identifies CPU-bound SQL operations with little external I/O. Constraint: performance changes must be measured at equivalent compute and data volume. 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. Enable the appropriate engine on a pilot compute configuration and compare plans
  2. Assume Photon eliminates every network, skew and access-permission problem at Air quality nonprofit
  3. Baseline SQL plan, engine configuration and resource use for pollution_measurements_north
  4. Evaluate Photon-capable compute for supported SQL and DataFrame workloads

Explanation

Correct Answer

C:

Baseline SQL plan, engine configuration and resource use for pollution_measurements_north directly investigates the evidence (query profiling identifies CPU-bound SQL operations with little external I/O) and distinguishes possible causes of the pollution_measurements_north SQL aggregation runs slowly on eligible compute despite a stable dataset. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: performance changes must be measured at equivalent compute and data volume.

Incorrect Answers

A:

Enable the appropriate engine on a pilot compute configuration and compare plans 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 query profiling identifies CPU-bound SQL operations with little external I/O. Here, the relevant situation is: the Photon and execution engine workflow handles pollution measurements. The problem is that the….

B:

An execution engine cannot cure unrelated input or authorization constraints. The proposed action (Assume Photon eliminates every network, skew and access-permission problem at Air quality nonprofit) does not meet the requirement that performance changes must be measured at equivalent compute and data volume, nor does it constitute the required pre-change investigation.

D:

Evaluate Photon-capable compute for supported SQL and DataFrame workloads is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the pollution_measurements_north scenario, the observed evidence is that query profiling identifies CPU-bound SQL operations with little external I/O; the requirement remains: performance changes must be measured at equivalent compute and data volume.

Certified Data Engineer Associate Practice Tests