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Databricks Certified Data Engineer Associate Practice Test 68

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.

Question 671

Consider the treatment_billing_events_north workload at Veterinary clinic association: treatment_billing_events_north daily DataFrames have the same field names in different column orders. Inspection found that union positional matching puts phone numbers into postal-code fields. The governed outcome must ensure that combined data must align values by field name rather than column position. 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 new and incompatible columns in treatment_billing_events_north ingestion
  2. Use positional union without checking source column order at Veterinary clinic association
  3. Use unionByName with controlled missing-column behavior as needed
  4. Compare samples with reordered columns to verify identity-preserving alignment

Explanation

Correct Answer

A:

Monitor new and incompatible columns in treatment_billing_events_north ingestion creates recurring visibility into the failure mode (treatment_billing_events_north daily DataFrames have the same field names in different column orders). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while combined data must align values by field name rather than column position.

Incorrect Answers

B:

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

C:

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

D:

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

Question 672

At Regional telecom operator, the timestamp type normalization workflow handles subscriber provisioning logs. The problem is that subscriber_provisioning_logs_central source timestamps arrive as mixed strings and local offsets. Evidence: a daily fact report groups the same instant into different dates. Constraint: event time must use a documented timezone and typed timestamp convention. 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. Compare time strings lexicographically and ignore offsets at Regional telecom operator
  2. Monitor failed timestamp casts and timezone drift for subscriber_provisioning_logs_central
  3. Parse timestamps to a common typed convention before time-window aggregation
  4. Compare events around midnight and daylight-saving transitions in the output

Explanation

Correct Answer

B:

Monitor failed timestamp casts and timezone drift for subscriber_provisioning_logs_central creates recurring visibility into the failure mode (subscriber_provisioning_logs_central source timestamps arrive as mixed strings and local offsets). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while event time must use a documented timezone and typed timestamp convention.

Incorrect Answers

A:

String ordering and timezone ambiguity are not robust event-time modeling. The proposed action (Compare time strings lexicographically and ignore offsets at Regional telecom operator) does not meet the requirement that event time must use a documented timezone and typed timestamp convention, nor does it constitute continuing operational detection.

C:

Parse timestamps to a common typed convention before time-window aggregation is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the subscriber_provisioning_logs_central scenario, the observed evidence is that a daily fact report groups the same instant into different dates; the requirement remains: event time must use a documented timezone and typed timestamp convention.

D:

Compare events around midnight and daylight-saving transitions in the output is a one-time acceptance check. It does not supply continuing operational detection for subscriber_provisioning_logs_central; a passing test cannot substitute for the specific task now required.

Question 673

At Airport facilities operator, the Unity Catalog audit event workflow handles maintenance work orders. The problem is that maintenance_work_orders_urban ownership team cannot explain who changed a sensitive table grant. Evidence: investigation lacks a query of account audit events around the change. Constraint: privilege changes require attributable evidence and retention. 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. Perform a test grant and verify it appears with actor and object fields
  2. Configure audit log access and build an approved privilege-change report
  3. Identify relevant audit event source, principal, timestamp and target object for maintenance_work_orders_urban
  4. Disable audit logs because granting privileges already requires admin at Airport facilities operator

Explanation

Correct Answer

A:

Perform a test grant and verify it appears with actor and object fields directly tests the behavior that should change after the correction. With the observed evidence (investigation lacks a query of account audit events around the change), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that privilege changes require attributable evidence and retention.

Incorrect Answers

B:

Configure audit log access and build an approved privilege-change report 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 investigation lacks a query of account audit events around the change.

C:

Identify relevant audit event source, principal, timestamp and target object for maintenance_work_orders_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 maintenance_work_orders_urban workflow still requires that privilege changes require attributable evidence and retention.

D:

Administrative permissions do not replace audit evidence. The proposed action (Disable audit logs because granting privileges already requires admin at Airport facilities operator) does not meet the requirement that privilege changes require attributable evidence and retention, nor does it constitute the post-change acceptance test.

Question 674

Consider the fare_validation_events_rural workload at Public transport authority: the fare_validation_events_rural SQL source is polled hourly but every run extracts its entire ten-year table. Inspection found that source query logs show full scans despite an indexed updated_at column. The governed outcome must ensure that new and changed rows must load with a replay-safe high-water mark. 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. Modify an old row and verify incremental fetch plus merge applies its update
  2. Use bounded incremental JDBC reads with a persisted watermark and merge keys
  3. Monitor watermark gaps, source query cost and late records for fare_validation_events_rural
  4. Advance the stored watermark before persisting the extracted batch at Public transport authority

Explanation

Correct Answer

C:

Monitor watermark gaps, source query cost and late records for fare_validation_events_rural creates recurring visibility into the failure mode (the fare_validation_events_rural SQL source is polled hourly but every run extracts its entire ten-year table). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while new and changed rows must load with a replay-safe high-water mark.

Incorrect Answers

A:

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

B:

Use bounded incremental JDBC reads with a persisted watermark and merge keys is a plausible lasting design once chosen, but it does not perform continuing operational detection 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 continuing operational detection.

Question 675

At Food delivery franchise, the COPY INTO idempotent files workflow handles dispatch and delivery status. The problem is that a nightly load of dispatch_and_delivery_status_rural repeats files from yesterday and developers fear duplicate inserts. Evidence: the same object-storage folder is scanned on each scheduled run. Constraint: only new source files should be appended without reprocessing prior paths. 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. Schedule COPY INTO for dispatch_and_delivery_status_rural and test a retry after successful ingestion
  2. Rerun the command with unchanged files and verify row counts do not double
  3. Run unconditional INSERT SELECT over the complete folder on every retry at Food delivery franchise
  4. Inspect file-level load history and path visibility for dispatch_and_delivery_status_rural

Explanation

Correct Answer

B:

Rerun the command with unchanged files and verify row counts do not double directly tests the behavior that should change following the correction. With the observed evidence (the same object-storage folder is scanned on each scheduled run), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that only new source files should be appended without reprocessing prior paths.

Incorrect Answers

A:

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 post-change acceptance test, especially given the evidence that the same object-storage folder is scanned on each scheduled run.

C:

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 post-change acceptance test.

D:

Inspect file-level load history and path visibility for dispatch_and_delivery_status_rural could clarify the original fault, but the available evidence already establishes its scope; it is not the post-change acceptance test now requested. The dispatch_and_delivery_status_rural workflow still requires that only new source files should be appended without reprocessing prior paths.

Question 676

At Regional hospital network, the clinical appointment reports workflow depends on clinical_appointment_reports_island. Engineers report that clinical_appointment_reports_island failed halfway through a historical backfill, and a rerun doubles completed partitions; the evidence is that run log records successfully committed early dates before failure. They require that recovery must replay only incomplete work or be provably idempotent. 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. Append the entire historical dataset on every restart at Regional hospital network
  2. List committed partitions, failed tasks and source batch identifiers for clinical_appointment_reports_island
  3. Monitor retry replay volumes and partition reconciliation for clinical_appointment_reports_island
  4. Use partition-aware idempotent writes and recoverable backfill parameters

Explanation

Correct Answer

D:

Use partition-aware idempotent writes and recoverable backfill parameters is the intended durable approach for clinical_appointment_reports_island: it addresses the verified problem (clinical_appointment_reports_island failed halfway through a historical backfill, and a rerun doubles completed partitions) while preserving the required behavior (recovery must replay only incomplete work or be provably idempotent). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Unconditional append duplicates earlier successful partitions. The proposed action (Append the entire historical dataset on every restart at Regional hospital network) does not meet the requirement that recovery must replay only incomplete work or be provably idempotent, nor does it constitute the target approach.

B:

List committed partitions, failed tasks and source batch identifiers for clinical_appointment_reports_island could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The clinical_appointment_reports_island workflow still requires that recovery must replay only incomplete work or be provably idempotent.

C:

Monitor retry replay volumes and partition reconciliation for clinical_appointment_reports_island would help detect future recurrence, but metrics alone do not deliver the target approach. The clinical_appointment_reports_island requirement is that recovery must replay only incomplete work or be provably idempotent.

Question 677

Consider the trade_settlement_files_urban workload at Wholesale produce exchange: trade_settlement_files_urban Gold dashboard shows wrong revenue and owners cannot trace the upstream dataset. Inspection found that lineage view is missing a newly added silver transformation. The governed outcome must ensure that impact analysis needs upstream and downstream dependency visibility. 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. Rely on file naming conventions as proof of full lineage at Wholesale produce exchange
  2. Compare inferred lineage to an actual source-to-gold test transformation
  3. Instrument or update the supported job dependency record before release
  4. Inspect lineage graph and actual query/job references for trade_settlement_files_urban

Explanation

Correct Answer

B:

Compare inferred lineage to an actual source-to-gold test transformation directly tests the behavior that should change after the correction. With the observed evidence (lineage view is missing a newly added silver transformation), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that impact analysis needs upstream and downstream dependency visibility.

Incorrect Answers

A:

Names alone cannot prove transformations and dependencies. The proposed action (Rely on file naming conventions as proof of full lineage at Wholesale produce exchange) does not meet the requirement that impact analysis needs upstream and downstream dependency visibility, nor does it constitute the post-change acceptance test.

C:

Instrument or update the supported job dependency record before release 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 lineage view is missing a newly added silver transformation.

D:

Inspect lineage graph and actual query/job references for trade_settlement_files_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 trade_settlement_files_urban workflow still requires that impact analysis needs upstream and downstream dependency visibility.

Question 678

The class_enrollment_data_west pipeline at International language school has this failure: class_enrollment_data_west has one row per order with an array of purchased items. The team observed that the silver table counts order-level rows as product-level units. Business requirement: downstream inventory reporting needs one row per element with its parent key. 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. Split the serialized array text on commas without parsing JSON at International language school
  2. Inspect array structure and null or empty-array cases for class_enrollment_data_west
  3. Verify element row counts and parent IDs for one-item and multi-item orders
  4. Pilot nested extraction and test orders with multiple items

Explanation

Correct Answer

C:

Verify element row counts and parent IDs for one-item and multi-item orders directly tests the behavior that should change following the correction. With the observed evidence (the silver table counts order-level rows as product-level units), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that downstream inventory reporting needs one row per element with its parent key.

Incorrect Answers

A:

String splitting is not a typed nested-array transformation. The proposed action (Split the serialized array text on commas without parsing JSON at International language school) does not meet the requirement that downstream inventory reporting needs one row per element with its parent key, nor does it constitute the post-change acceptance test.

B:

Inspect array structure and null or empty-array cases for class_enrollment_data_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 class_enrollment_data_west workflow still requires that downstream inventory reporting needs one row per element with its parent key.

D:

Pilot nested extraction and test orders with multiple items 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 silver table counts order-level rows as product-level units. This matters here because the class_enrollment_data_west pipeline at International language school has this failure:….

Question 679

A data engineer at Online apparel cooperative is responsible for customer order changes. The bundle environment promotion isolation issue is that customer_order_changes_west test run overwrites production tables because both deployment targets share one catalog. The supporting evidence is that resolved bundle targets point to the same UC prefix. The engineer must ensure that development tests must not mutate production data. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. Which durable Databricks control best addresses the requirement?

  1. Monitor cross-environment writes and unexpected permissions for customer_order_changes_west
  2. Compare target resolution, workspace URL and catalog bindings for customer_order_changes_west
  3. Use identical production destinations and hope developers avoid dangerous input at Online apparel cooperative
  4. Segregate dev/test/prod catalog settings using bundle target overrides

Explanation

Correct Answer

D:

Segregate dev/test/prod catalog settings using bundle target overrides is the intended durable approach for customer_order_changes_west: it addresses the verified problem (customer_order_changes_west test run overwrites production tables because both deployment targets share one catalog) while preserving the required behavior (development tests must not mutate production data). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Monitor cross-environment writes and unexpected permissions for customer_order_changes_west would help detect future recurrence, but metrics alone do not deliver the target approach. The customer_order_changes_west requirement is that development tests must not mutate production data.

B:

Compare target resolution, workspace URL and catalog bindings for customer_order_changes_west could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The customer_order_changes_west workflow still requires that development tests must not mutate production data.

C:

Shared output targets defeat environment isolation. The proposed action (Use identical production destinations and hope developers avoid dangerous input at Online apparel cooperative) does not meet the requirement that development tests must not mutate production data, nor does it constitute the target approach.

Question 680

A data engineer at Multi-region rental platform is responsible for property reservation updates. The Spark shuffle volume issue is that property_reservation_updates_east aggregation spends more time in shuffle than in input scanning. The supporting evidence is that Spark UI shows large shuffle read/write and long exchange stages. The engineer must ensure that the transformation must preserve results while reducing unnecessary data movement. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. Which durable Databricks control best addresses the requirement?

  1. Increase driver memory alone and assume shuffle disappears at Multi-region rental platform
  2. Reduce avoidable shuffles through appropriate join strategy and pre-aggregation
  3. Monitor shuffle read bytes, stage latency and task failures for property_reservation_updates_east
  4. Inspect physical plan exchanges, join keys and partition sizes for property_reservation_updates_east

Explanation

Correct Answer

B:

Reduce avoidable shuffles through appropriate join strategy and pre-aggregation is the intended durable approach for property_reservation_updates_east: it addresses the verified problem (property_reservation_updates_east aggregation spends more time in shuffle than in input scanning) while preserving the required behavior (the transformation must preserve results while reducing unnecessary data movement). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Driver sizing does not remove distributed shuffle operations. The proposed action (Increase driver memory alone and assume shuffle disappears at Multi-region rental platform) does not meet the requirement that the transformation must preserve results while reducing unnecessary data movement, nor does it constitute the target approach.

C:

Monitor shuffle read bytes, stage latency and task failures for property_reservation_updates_east would help detect future recurrence, but metrics alone do not deliver the target approach. The property_reservation_updates_east requirement is that the transformation must preserve results while reducing unnecessary data movement.

D:

Inspect physical plan exchanges, join keys and partition sizes for property_reservation_updates_east could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The property_reservation_updates_east workflow still requires that the transformation must preserve results while reducing unnecessary data movement.

Certified Data Engineer Associate Practice Tests