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Databricks Certified Data Engineer Associate Practice Test 37

Question 360

At Public weather agency, the station observation files workflow depends on station_observation_files_island. Engineers report that station_observation_files_island Spark Declarative Pipeline is managed separately and not part of the daily job; the evidence is that analytics runs before the pipeline produces its updated streaming table. They require that job orchestration must wait for pipeline update completion. 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. Attach the governed pipeline to the job and pilot the execution graph
  2. Inspect pipeline identity, job task settings and downstream dependencies for station_observation_files_island
  3. Use a Lakeflow pipeline task with success dependency before analytics tasks
  4. Assume the pipeline auto-refreshes before every dashboard query at Public weather agency

Explanation

Correct Answer

B:

Inspect pipeline identity, job task settings and downstream dependencies for station_observation_files_island directly investigates the evidence (analytics runs before the pipeline produces its updated streaming table) and distinguishes possible causes of station_observation_files_island Spark Declarative Pipeline is managed separately and not part of the daily job. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: job orchestration must wait for pipeline update completion.

Incorrect Answers

A:

Attach the governed pipeline to the job and pilot the execution graph 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 analytics runs before the pipeline produces its updated streaming table.

C:

Use a Lakeflow pipeline task with success dependency before analytics tasks is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the station_observation_files_island scenario, the observed evidence is that analytics runs before the pipeline produces its updated streaming table; the requirement remains: job orchestration must wait for pipeline update completion.

D:

Uncontrolled refresh timing does not guarantee dependency order. The proposed action (Assume the pipeline auto-refreshes before every dashboard query at Public weather agency) does not meet the requirement that job orchestration must wait for pipeline update completion, nor does it constitute the required pre-change investigation.

Question 361

At Regional sporting venue, the admission scan events workflow depends on admission_scan_events_west. Engineers report that admission_scan_events_west automation configuration contains an API password committed to Git; the evidence is that repository scan detects a plaintext production secret in bundle variables. They require that configuration must remain reproducible without exposing secrets. 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. Identify secret locations, references and exposed Git history for admission_scan_events_west
  2. Monitor exposed credentials and unexpected secret-version access for admission_scan_events_west
  3. Reference approved secret storage or injected CI variables rather than plaintext passwords
  4. Hide the password by renaming its variable key at Regional sporting venue

Explanation

Correct Answer

C:

Reference approved secret storage or injected CI variables rather than plaintext passwords is the intended durable approach for admission_scan_events_west: it addresses the verified problem (admission_scan_events_west automation configuration contains an API password committed to Git) while preserving the required behavior (configuration must remain reproducible without exposing secrets). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Identify secret locations, references and exposed Git history for admission_scan_events_west could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The admission_scan_events_west workflow still requires that configuration must remain reproducible without exposing secrets.

B:

Monitor exposed credentials and unexpected secret-version access for admission_scan_events_west would help detect future recurrence, but metrics alone do not deliver the target approach. The admission_scan_events_west requirement is that configuration must remain reproducible without exposing secrets.

D:

Renaming a plaintext secret does not protect it. The proposed action (Hide the password by renaming its variable key at Regional sporting venue) does not meet the requirement that configuration must remain reproducible without exposing secrets, nor does it constitute the target approach.

Question 362

At Veterinary clinic association, the treatment billing events workflow depends on treatment_billing_events_west. Engineers report that treatment_billing_events_west contains duplicate message IDs after file retries; the evidence is that two rows share event_id but have different ingestion timestamps. They require that silver needs one deterministic event per business event identifier. The target approach is approved. The current task is to introduce it safely with bounded scope and rollback. Which controlled implementation step is appropriate now?

  1. Feed repeated IDs in different order and verify the selected canonical record
  2. Pilot a dedup transform while retaining originals in bronze for audit
  3. Use deterministic row_number or dropDuplicates on the correct business key and ordering rule
  4. DropDuplicates on every column when duplicates differ only by ingest timestamp at Veterinary clinic association

Explanation

Correct Answer

B:

Pilot a dedup transform while retaining originals in bronze for audit provides a bounded way to introduce the approved solution into treatment_billing_events_west and detect an early mismatch. The existing signal is two rows share event_id but have different ingestion timestamps; a staged change protects the service requirement (silver needs one deterministic event per business event identifier) and makes rollback practical.

Incorrect Answers

A:

Feed repeated IDs in different order and verify the selected canonical record is a one-time acceptance check. It does not supply the controlled implementation step for treatment_billing_events_west; a passing test cannot substitute for the specific task now required.

C:

Use deterministic row_number or dropDuplicates on the correct business key and ordering rule is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the treatment_billing_events_west scenario, the observed evidence is that two rows share event_id but have different ingestion timestamps; the requirement remains: silver needs one deterministic event per business event identifier.

D:

All-column comparison misses business-key duplicates. The proposed action (DropDuplicates on every column when duplicates differ only by ingest timestamp at Veterinary clinic association) does not meet the requirement that silver needs one deterministic event per business event identifier, nor does it constitute the controlled implementation step.

Question 363

The consent_related_data_changes_delta pipeline at Research clinical trial group has this failure: joining consent_related_data_changes_delta fact records to a tiny reference table produces a large shuffle. The team observed that Spark UI shows both inputs shuffled despite one lookup occupying a few megabytes. Business requirement: join output must retain key equality and correct multiplicity. 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. Review table sizes, statistics and shuffle metrics for consent_related_data_changes_delta
  2. Monitor dimension growth and join-plan regressions for consent_related_data_changes_delta
  3. Broadcast the eligible small reference DataFrame when appropriate to avoid a large shuffle
  4. CrossJoin the entire fact and reference datasets then filter after collection at Research clinical trial group

Explanation

Correct Answer

C:

Broadcast the eligible small reference DataFrame when appropriate to avoid a large shuffle is the intended durable approach for consent_related_data_changes_delta: it addresses the verified problem (joining consent_related_data_changes_delta fact records to a tiny reference table produces a large shuffle) while preserving the required behavior (join output must retain key equality and correct multiplicity). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Review table sizes, statistics and shuffle metrics for consent_related_data_changes_delta could clarify the original fault, but the available evidence already establishes its scope; it is not the target approach now requested. The consent_related_data_changes_delta workflow still requires that join output must retain key equality and correct multiplicity.

B:

Monitor dimension growth and join-plan regressions for consent_related_data_changes_delta would help detect future recurrence, but metrics alone do not deliver the target approach. The consent_related_data_changes_delta requirement is that join output must retain key equality and correct multiplicity.

D:

A cartesian expansion wastes resources and risks mis-joins. The proposed action (CrossJoin the entire fact and reference datasets then filter after collection at Research clinical trial group) does not meet the requirement that join output must retain key equality and correct multiplicity, nor does it constitute the target approach.

Question 364

The citizen_service_applications_west pipeline at Local government portal has this failure: citizen_service_applications_west needs a normalized discount amount but the pipeline overwrites the source field. The team observed that code review shows an arithmetic expression replacing original gross_sales. Business requirement: 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. What should the engineer inspect to establish the failure mechanism?

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

Explanation

Correct Answer

A:

Inspect expression dependencies and column lineage for citizen_service_applications_west directly investigates the evidence (code review shows an arithmetic expression replacing original gross_sales) and distinguishes possible causes of citizen_service_applications_west 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

B:

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

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 citizen_service_applications_west 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:

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.

Question 365

At Air quality nonprofit, the SQL DENY governance scope workflow handles pollution measurements. The problem is that pollution_measurements_central 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 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. Pilot the policy in a test catalog and confirm evaluation result
  2. Test denied and permitted identities on the exact target object
  3. Assume any DENY syntax universally applies to all Unity Catalog objects at Air quality nonprofit
  4. Use supported UC grants and only supported ABAC deny policies where available

Explanation

Correct Answer

A:

Pilot the policy in a test catalog and confirm evaluation result provides a bounded way to introduce the approved solution into pollution_measurements_central and detect an early mismatch. The existing signal is review finds the target resource is outside the supported ABAC deny-policy securable types; a staged change protects the service requirement (authorization must use supported policy semantics without assuming beta behavior) and makes rollback practical.

Incorrect Answers

B:

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

C:

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 Air quality nonprofit) does not meet the requirement that authorization must use supported policy semantics without assuming beta behavior, nor does it constitute the controlled implementation step.

D:

Use supported UC grants and only supported ABAC deny policies where available is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the pollution_measurements_central 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.

Question 366

The appointment_requests_highland pipeline at Pet-care booking platform has this failure: appointment_requests_highland gold report launches before silver validation finishes. The team observed that a task graph shows report and validation as parallel children of ingestion. Business requirement: downstream publishing must not start until all required upstream checks succeed. 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. Declare an explicit dependency from gold publishing to successful validation tasks
  2. Schedule every task at the same clock time and hope upstream processing completes at Pet-care booking platform
  3. Pause the validator and verify publish does not start early
  4. Monitor dependency skips, failures and unexpected concurrent starts for appointment_requests_highland

Explanation

Correct Answer

D:

Monitor dependency skips, failures and unexpected concurrent starts for appointment_requests_highland creates recurring visibility into the failure mode (appointment_requests_highland gold report launches before silver validation finishes). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while downstream publishing must not start until all required upstream checks succeed.

Incorrect Answers

A:

Declare an explicit dependency from gold publishing to successful validation tasks is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the appointment_requests_highland scenario, the observed evidence is that a task graph shows report and validation as parallel children of ingestion; the requirement remains: downstream publishing must not start until all required upstream checks succeed.

B:

Clock coincidence does not enforce dependency correctness. The proposed action (Schedule every task at the same clock time and hope upstream processing completes at Pet-care booking platform) does not meet the requirement that downstream publishing must not start until all required upstream checks succeed, nor does it constitute continuing operational detection.

C:

Pause the validator and verify publish does not start early is a one-time acceptance check. It does not supply continuing operational detection for appointment_requests_highland; a passing test cannot substitute for the specific task now required.

Question 367

A data engineer at Public water district is responsible for pipeline flow metrics. The Unity Catalog namespace issue is that engineers refer to pipeline_flow_metrics_urban by an ambiguous two-part name and access the wrong environment. The supporting evidence is that the same schema and table names exist under development and production catalogs. The engineer must ensure that code must resolve a single governed production object. The new approach is deployed. The current task is to prove correct output and authorized behavior, not just successful installation. What evidence establishes that correct output is maintained?

  1. Depend on each user's default catalog to identify the production table at Public water district
  2. Check current catalog, schema and resolved fully qualified table for pipeline_flow_metrics_urban
  3. Resolve the intended table from the job identity and confirm prod/development isolation
  4. Change the pipeline to explicit three-level names and test in a staging job

Explanation

Correct Answer

C:

Resolve the intended table from the job identity and confirm prod/development isolation directly tests the behavior that should change following the correction. With the observed evidence (the same schema and table names exist under development and production catalogs), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that code must resolve a single governed production object.

Incorrect Answers

A:

Implicit current-catalog resolution makes production writes ambiguous. The proposed action (Depend on each user's default catalog to identify the production table at Public water district) does not meet the requirement that code must resolve a single governed production object, nor does it constitute the post-change acceptance test.

B:

Check current catalog, schema and resolved fully qualified table for pipeline_flow_metrics_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 pipeline_flow_metrics_urban workflow still requires that code must resolve a single governed production object.

D:

Change the pipeline to explicit three-level names and test in a staging job 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 schema and table names exist under development and production catalogs. This matters here because a data engineer at Public water district is responsible for pipeline flow metrics. The Unity Catalog namespace issue….

Question 368

Consider the rental_subsidy_payments_highland workload at Urban housing fund: the rental_subsidy_payments_highland telemetry producer emits events every few seconds but dashboards only need daily totals. Inspection found that profiling shows expensive continuous compute for an overnight business report. The governed outcome must ensure that ingestion frequency should reflect true freshness requirements and cost. 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. Force continuous high-cost processing solely because the source emits events frequently at Urban housing fund
  2. Monitor SLA misses and idle compute cost for rental_subsidy_payments_highland
  3. Choose scheduled incremental batch when a daily SLA does not warrant continuous processing
  4. Verify next-morning output and source-to-target reconciliation

Explanation

Correct Answer

B:

Monitor SLA misses and idle compute cost for rental_subsidy_payments_highland creates recurring visibility into the failure mode (the rental_subsidy_payments_highland telemetry producer emits events every few seconds but dashboards only need daily totals). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while ingestion frequency should reflect true freshness requirements and cost.

Incorrect Answers

A:

Source frequency alone does not justify a continuous target pipeline. The proposed action (Force continuous high-cost processing solely because the source emits events frequently at Urban housing fund) does not meet the requirement that ingestion frequency should reflect true freshness requirements and cost, nor does it constitute continuing operational detection.

C:

Choose scheduled incremental batch when a daily SLA does not warrant continuous processing is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the rental_subsidy_payments_highland scenario, the observed evidence is that profiling shows expensive continuous compute for an overnight business report; the requirement remains: ingestion frequency should reflect true freshness requirements and cost.

D:

Verify next-morning output and source-to-target reconciliation is a one-time acceptance check. It does not supply continuing operational detection for rental_subsidy_payments_highland; a passing test cannot substitute for the specific task now required.

Question 369

At Online apparel cooperative, the customer order changes workflow depends on customer_order_changes_north. Engineers report that customer_order_changes_north tracks successive device configurations and needs the most recent per device; the evidence is that the raw table contains equal device_id rows with varying event timestamps. They require that exactly one latest row per device must be selected using deterministic tie-breaks. 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. Apply row_number over partitionBy(device_id) orderBy(timestamp desc, version desc)
  2. Call dropDuplicates(device_id) without an explicit ordering rule at Online apparel cooperative
  3. Inspect per-device timestamps and tie possibilities for customer_order_changes_north
  4. Monitor tied-key anomalies and late configuration records for customer_order_changes_north

Explanation

Correct Answer

A:

Apply row_number over partitionBy(device_id) orderBy(timestamp desc, version desc) is the intended durable approach for customer_order_changes_north: it addresses the verified problem (customer_order_changes_north tracks successive device configurations and needs the most recent per device) while preserving the required behavior (exactly one latest row per device must be selected using deterministic tie-breaks). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

B:

An unordered dedup does not guarantee selection of the newest record. The proposed action (Call dropDuplicates(device_id) without an explicit ordering rule at Online apparel cooperative) does not meet the requirement that exactly one latest row per device must be selected using deterministic tie-breaks, nor does it constitute the target approach.

C:

Inspect per-device timestamps and tie possibilities for customer_order_changes_north 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_north workflow still requires that exactly one latest row per device must be selected using deterministic tie-breaks.

D:

Monitor tied-key anomalies and late configuration records for customer_order_changes_north would help detect future recurrence, but metrics alone do not deliver the target approach. The customer_order_changes_north requirement is that exactly one latest row per device must be selected using deterministic tie-breaks.

Question 370

Consider the inventory_adjustments_rural workload at Retail pharmacy network: inventory_adjustments_rural managed table has manual OPTIMIZE jobs colliding with platform-managed maintenance. Inspection found that table maintenance history shows overlapping compaction attempts. The governed outcome must ensure that the maintenance policy must avoid redundant cost and scheduling conflict. 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. Compare file counts, query results and maintenance cost across a full cycle
  2. Disable the overlapping manual maintenance after verifying managed policy
  3. Use predictive optimization where supported and retire redundant manual jobs
  4. Manually VACUUM all data files before retention safeguards are checked at Retail pharmacy network

Explanation

Correct Answer

B:

Disable the overlapping manual maintenance after verifying managed policy provides a bounded way to introduce the approved solution into inventory_adjustments_rural and detect an early mismatch. The existing signal is table maintenance history shows overlapping compaction attempts; a staged change protects the service requirement (the maintenance policy must avoid redundant cost and scheduling conflict) and makes rollback practical.

Incorrect Answers

A:

Compare file counts, query results and maintenance cost across a full cycle is a one-time acceptance check. It does not supply the controlled implementation step for inventory_adjustments_rural; a passing test cannot substitute for the specific task now required.

C:

Use predictive optimization where supported and retire redundant manual jobs is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the inventory_adjustments_rural scenario, the observed evidence is that table maintenance history shows overlapping compaction attempts; the requirement remains: the maintenance policy must avoid redundant cost and scheduling conflict.

D:

Unguarded vacuum can remove files needed for recovery. The proposed action (Manually VACUUM all data files before retention safeguards are checked at Retail pharmacy network) does not meet the requirement that the maintenance policy must avoid redundant cost and scheduling conflict, nor does it constitute the controlled implementation step.

Certified Data Engineer Associate Practice Tests