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Databricks Certified Data Engineer Associate Practice Test 92

Question 910

At Clinical diagnostics network, the approximate distinct count workflow handles lab sample events. The problem is that lab_sample_events_urban serves an exploratory dashboard counting hundreds of millions of unique session IDs. Evidence: exact count-distinct creates high aggregation cost during interactive prototyping. Constraint: users explicitly accept bounded approximation in exchange for speed. 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. Trial approximate aggregation on representative samples against exact ground truth
  2. Compare estimate error and latency to the agreed tolerance
  3. Substitute sum(session_id) as an estimate of unique sessions at Clinical diagnostics network
  4. Use approx_count_distinct for approximate high-cardinality distinct estimates

Explanation

Correct Answer

A:

Trial approximate aggregation on representative samples against exact ground truth provides a bounded way to introduce the approved solution into lab_sample_events_urban and detect an early mismatch. The existing signal is exact count-distinct creates high aggregation cost during interactive prototyping; a staged change protects the service requirement (users explicitly accept bounded approximation in exchange for speed) and makes rollback practical.

Incorrect Answers

B:

Compare estimate error and latency to the agreed tolerance is a one-time acceptance check. It does not supply the controlled implementation step for lab_sample_events_urban; a passing test cannot substitute for the specific task now required.

C:

Adding identifiers is not a distinct-count estimator. The proposed action (Substitute sum(session_id) as an estimate of unique sessions at Clinical diagnostics network) does not meet the requirement that users explicitly accept bounded approximation in exchange for speed, nor does it constitute the controlled implementation step.

D:

Use approx_count_distinct for approximate high-cardinality distinct estimates is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the lab_sample_events_urban scenario, the observed evidence is that exact count-distinct creates high aggregation cost during interactive prototyping; the requirement remains: users explicitly accept bounded approximation in exchange for speed.

Question 911

At Satellite imagery startup, the liquid clustering maintenance workflow handles land-cover observations. The problem is that land_cover_observations_south Delta queries slow after the filter distribution changes. Evidence: query profile shows increased file scanning despite healthy worker utilization. Constraint: performance optimization must adapt to predicate patterns. 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. Recluster a pilot table and measure read/write behavior
  2. Inspect clustering columns and actual filter patterns for land_cover_observations_south
  3. Choose suitable liquid clustering keys and supported optimization maintenance
  4. Add a new physical partition for every possible filter value at Satellite imagery startup

Explanation

Correct Answer

B:

Inspect clustering columns and actual filter patterns for land_cover_observations_south directly investigates the evidence (query profile shows increased file scanning despite healthy worker utilization) and distinguishes possible causes of land_cover_observations_south Delta queries slow after the filter distribution changes. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: performance optimization must adapt to predicate patterns.

Incorrect Answers

A:

Recluster a pilot table and measure read/write behavior 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 profile shows increased file scanning despite healthy worker utilization.

C:

Choose suitable liquid clustering keys and supported optimization maintenance is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the land_cover_observations_south scenario, the observed evidence is that query profile shows increased file scanning despite healthy worker utilization; the requirement remains: performance optimization must adapt to predicate patterns.

D:

Extreme partitioning creates metadata overhead. The proposed action (Add a new physical partition for every possible filter value at Satellite imagery startup) does not meet the requirement that performance optimization must adapt to predicate patterns, nor does it constitute the required pre-change investigation.

Question 912

The render_job_telemetry_north pipeline at Media postproduction team has this failure: render_job_telemetry_north dashboard repeatedly scans years of silver transactions for daily rollups. The team observed that SQL history shows expensive repeated aggregation on an otherwise stable reporting query. Business requirement: analysts need low-latency aggregates refreshed on a defined cadence. 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. Publish a materialized view for precomputed frequently queried aggregates
  2. Verify refresh applies new silver rows and queries return the expected totals
  3. Create a regular view and promise it stores its results between queries at Media postproduction team
  4. Monitor gold refresh age and incremental-refresh failures for render_job_telemetry_north

Explanation

Correct Answer

D:

Monitor gold refresh age and incremental-refresh failures for render_job_telemetry_north creates recurring visibility into the failure mode (render_job_telemetry_north dashboard repeatedly scans years of silver transactions for daily rollups). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while analysts need low-latency aggregates refreshed on a defined cadence.

Incorrect Answers

A:

Publish a materialized view for precomputed frequently queried aggregates is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the render_job_telemetry_north scenario, the observed evidence is that SQL history shows expensive repeated aggregation on an otherwise stable reporting query; the requirement remains: analysts need low-latency aggregates refreshed on a defined cadence.

B:

Verify refresh applies new silver rows and queries return the expected totals is a one-time acceptance check. It does not supply continuing operational detection for render_job_telemetry_north; a passing test cannot substitute for the specific task now required.

C:

Ordinary views do not persist precomputed results. The proposed action (Create a regular view and promise it stores its results between queries at Media postproduction team) does not meet the requirement that analysts need low-latency aggregates refreshed on a defined cadence, nor does it constitute continuing operational detection.

Question 913

At Regional museum alliance, the artifact metadata updates workflow depends on artifact_metadata_updates_metro. Engineers report that artifact_metadata_updates_metro delta target must apply corrected invoice amounts from an incremental feed; the evidence is that the source has two updates for the same invoice_id in one batch. They require that target must have one latest value per invoice after applying ordered changes. 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. Monitor ambiguous matches and merge row-change counts for artifact_metadata_updates_metro
  2. Use Delta MERGE with a deduplicated source on invoice_id and matched update logic
  3. MERGE with multiple unfiltered source matches per target key at Regional museum alliance
  4. Identify stable merge keys and deduplicate multiple updates in the batch for artifact_metadata_updates_metro

Explanation

Correct Answer

B:

Use Delta MERGE with a deduplicated source on invoice_id and matched update logic is the intended durable approach for artifact_metadata_updates_metro: it addresses the verified problem (artifact_metadata_updates_metro delta target must apply corrected invoice amounts from an incremental feed) while preserving the required behavior (target must have one latest value per invoice after applying ordered changes). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Monitor ambiguous matches and merge row-change counts for artifact_metadata_updates_metro would help detect future recurrence, but metrics alone do not deliver the target approach. The artifact_metadata_updates_metro requirement is that target must have one latest value per invoice after applying ordered changes.

C:

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 target approach.

D:

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 target approach now requested. The artifact_metadata_updates_metro workflow still requires that target must have one latest value per invoice after applying ordered changes.

Question 914

Consider the sampling_field_notes_west workload at Environmental inspection office: sampling_field_notes_west combines regional extracts but normal UNION removes rows that are legitimately identical across different source batches. Inspection found that sample data includes repeated values where batch lineage distinguishes observations. The governed outcome must ensure that the target must preserve all source rows for audit. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which evidence-gathering action should precede an architectural change?

  1. Inspect expected duplicate semantics and lineage keys for sampling_field_notes_west
  2. Use UNION DISTINCT and assume it preserves every source row at Environmental inspection office
  3. Use UNION ALL when duplicates must be retained and add a batch identifier
  4. Publish a union-all transformation with explicit schema mapping and batch tags

Explanation

Correct Answer

A:

Inspect expected duplicate semantics and lineage keys for sampling_field_notes_west directly investigates the evidence (sample data includes repeated values where batch lineage distinguishes observations) and distinguishes possible causes of sampling_field_notes_west combines regional extracts but normal UNION removes rows that are legitimately identical across different source batches. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: the target must preserve all source rows for audit.

Incorrect Answers

B:

Set union removes duplicates and can lose genuine repeated observations. The proposed action (Use UNION DISTINCT and assume it preserves every source row at Environmental inspection office) does not meet the requirement that the target must preserve all source rows for audit, nor does it constitute the required pre-change investigation.

C:

Use UNION ALL when duplicates must be retained and add a batch identifier is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the sampling_field_notes_west scenario, the observed evidence is that sample data includes repeated values where batch lineage distinguishes observations; the requirement remains: the target must preserve all source rows for audit.

D:

Publish a union-all transformation with explicit schema mapping and batch tags 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 sample data includes repeated values where batch lineage distinguishes observations. This matters here because consider the sampling_field_notes_west workload at Environmental inspection office: sampling_field_notes_west….

Question 915

Consider the consent_related_data_changes_urban workload at Research clinical trial group: consent_related_data_changes_urban rows have statuses requiring a three-way risk category. Inspection found that a simple boolean expression sends null status to a high-risk category. The governed outcome must ensure that business rules distinguish active, cancelled and unknown statuses. The failure and requirements have been diagnosed; the team must select the lasting pipeline or governance approach. Which data-engineering approach resolves the documented weakness?

  1. Enumerate source states and null handling for the consent_related_data_changes_urban flag
  2. Monitor unmapped statuses and rule-version changes for consent_related_data_changes_urban
  3. Treat null as an active subscription without evidence at Research clinical trial group
  4. Use when/otherwise with explicit conditions and an unknown default

Explanation

Correct Answer

D:

Use when/otherwise with explicit conditions and an unknown default is the intended durable approach for consent_related_data_changes_urban: it addresses the verified problem (consent_related_data_changes_urban rows have statuses requiring a three-way risk category) while preserving the required behavior (business rules distinguish active, cancelled and unknown statuses). A diagnostic or monitoring step alone would not create this target-state behavior.

Incorrect Answers

A:

Enumerate source states and null handling for the consent_related_data_changes_urban flag 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_urban workflow still requires that business rules distinguish active, cancelled and unknown statuses.

B:

Monitor unmapped statuses and rule-version changes for consent_related_data_changes_urban would help detect future recurrence, but metrics alone do not deliver the target approach. The consent_related_data_changes_urban requirement is that business rules distinguish active, cancelled and unknown statuses.

C:

Missing status cannot be assumed to mean active. The proposed action (Treat null as an active subscription without evidence at Research clinical trial group) does not meet the requirement that business rules distinguish active, cancelled and unknown statuses, nor does it constitute the target approach.

Question 916

The fare_validation_events_east pipeline at Public transport authority has this failure: mobile fare_validation_events_east events arrive late and sometimes duplicate within an event-time window. The team observed that several event IDs reappear after an offline device reconnect. Business requirement: the stream must remove duplicates without retaining infinite state. 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. Deduplicate with stable event IDs and a bounded event-time watermark
  2. Retain every key forever in unbounded streaming state at Public transport authority
  3. Test streaming replay with simulated delay and state checkpointing
  4. Measure late-arrival distribution and validate event IDs and timestamps for fare_validation_events_east

Explanation

Correct Answer

D:

Measure late-arrival distribution and validate event IDs and timestamps for fare_validation_events_east directly investigates the evidence (several event IDs reappear after an offline device reconnect) and distinguishes possible causes of mobile fare_validation_events_east events arrive late and sometimes duplicate within an event-time window. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: the stream must remove duplicates without retaining infinite state.

Incorrect Answers

A:

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

B:

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

C:

Test streaming replay with simulated delay and state checkpointing 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 several event IDs reappear after an offline device reconnect. This matters here because the fare_validation_events_east pipeline at Public transport authority has this failure: mobile….

Question 917

Consider the pollution_measurements_central workload at Air quality nonprofit: pollution_measurements_central access exception uses a DENY policy without verifying feature support and scope. Inspection found that review finds the target resource is outside the supported ABAC deny-policy securable types. The governed outcome must ensure that authorization must use supported policy semantics without assuming beta behavior. The team has not selected a remedy. It first needs evidence that distinguishes the actual dependency or data fault. Which evidence-gathering action should precede an architectural change?

  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 Air quality nonprofit
  3. Verify exact privilege, supported securable type and ABAC DENY feature status for pollution_measurements_central
  4. Pilot the policy in a test catalog and confirm evaluation result

Explanation

Correct Answer

C:

Verify exact privilege, supported securable type and ABAC DENY feature status for pollution_measurements_central directly investigates the evidence (review finds the target resource is outside the supported ABAC deny-policy securable types) and distinguishes possible causes of pollution_measurements_central access exception uses a DENY policy without verifying feature support and scope. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: 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 the required pre-change investigation 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.

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 Air quality nonprofit) does not meet the requirement that authorization must use supported policy semantics without assuming beta behavior, nor does it constitute the required pre-change investigation.

D:

Pilot the policy in a test catalog and confirm evaluation result 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 review finds the target resource is outside the supported ABAC deny-policy securable types. This matters here because consider the pollution_measurements_central workload at Air quality nonprofit: pollution_measurements_central access….

Question 918

The maintenance_work_orders_central pipeline at Airport facilities operator has this failure: maintenance_work_orders_central dataset is shared between clouds and network charges surprise the data provider. The team observed that billing shows recipient reads create cross-cloud data transfer. Business requirement: sharing must meet cost and policy expectations. 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. Pilot a small cross-cloud share and review billing before expansion
  2. Design an approved sharing pattern accounting for network egress and access controls
  3. Assume cross-cloud data transfer is always free because sharing is read-only at Airport facilities operator
  4. Compare actual transfer bytes and charges against the forecast

Explanation

Correct Answer

A:

Pilot a small cross-cloud share and review billing before expansion provides a bounded way to introduce the approved solution into maintenance_work_orders_central and detect an early mismatch. The existing signal is billing shows recipient reads create cross-cloud data transfer; a staged change protects the service requirement (sharing must meet cost and policy expectations) and makes rollback practical.

Incorrect Answers

B:

Design an approved sharing pattern accounting for network egress and access controls is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the maintenance_work_orders_central scenario, the observed evidence is that billing shows recipient reads create cross-cloud data transfer; the requirement remains: sharing must meet cost and policy expectations.

C:

Read-only sharing can still incur network charges. The proposed action (Assume cross-cloud data transfer is always free because sharing is read-only at Airport facilities operator) does not meet the requirement that sharing must meet cost and policy expectations, nor does it constitute the controlled implementation step.

D:

Compare actual transfer bytes and charges against the forecast is a one-time acceptance check. It does not supply the controlled implementation step for maintenance_work_orders_central; a passing test cannot substitute for the specific task now required.

Question 919

The border_inspection_results_rural pipeline at Port customs authority has this failure: the border_inspection_results_rural telemetry producer emits events every few seconds but dashboards only need daily totals. The team observed that profiling shows expensive continuous compute for an overnight business report. Business requirement: ingestion frequency should reflect true freshness requirements and cost. 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. Confirm actual consumer latency requirements and event volume for border_inspection_results_rural
  2. Choose scheduled incremental batch when a daily SLA does not warrant continuous processing
  3. Switch one report to a scheduled ingest with measured completeness
  4. Force continuous high-cost processing solely because the source emits events frequently at Port customs authority

Explanation

Correct Answer

A:

Confirm actual consumer latency requirements and event volume for border_inspection_results_rural directly investigates the evidence (profiling shows expensive continuous compute for an overnight business report) and distinguishes possible causes of the border_inspection_results_rural telemetry producer emits events every few seconds but dashboards only need daily totals. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: ingestion frequency should reflect true freshness requirements and cost.

Incorrect Answers

B:

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 the required pre-change investigation at this stage. In the border_inspection_results_rural 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.

C:

Switch one report to a scheduled ingest with measured completeness 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 profiling shows expensive continuous compute for an overnight business report. This matters here because the border_inspection_results_rural pipeline at Port customs authority has this failure: the….

D:

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 Port customs authority) does not meet the requirement that ingestion frequency should reflect true freshness requirements and cost, nor does it constitute the required pre-change investigation.

Question 920

At Environmental inspection office, the sampling field notes workflow depends on sampling_field_notes_north. Engineers report that sampling_field_notes_north deployment works only when the developer logs in interactively; the evidence is that CI pipeline fails with an expired human authentication token. They require that unattended deployments require restricted non-personal credentials. 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. Store the developer's personal token unencrypted in source control at Environmental inspection office
  2. Rotate the pipeline to noninteractive credentials and test target validation
  3. Inspect authentication identity, workspace permissions and token expiry for sampling_field_notes_north
  4. Configure CI with an approved service principal and scoped deployment grants

Explanation

Correct Answer

C:

Inspect authentication identity, workspace permissions and token expiry for sampling_field_notes_north directly investigates the evidence (CI pipeline fails with an expired human authentication token) and distinguishes possible causes of sampling_field_notes_north deployment works only when the developer logs in interactively. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: unattended deployments require restricted non-personal credentials.

Incorrect Answers

A:

Source-controlled long-lived personal secrets create exposure and ownership risk. The proposed action (Store the developer's personal token unencrypted in source control at Environmental inspection office) does not meet the requirement that unattended deployments require restricted non-personal credentials, nor does it constitute the required pre-change investigation.

B:

Rotate the pipeline to noninteractive credentials and test target validation 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 CI pipeline fails with an expired human authentication token. Here, the relevant situation is: the sampling field notes workflow depends on sampling_field_notes_north. Engineers report that….

D:

Configure CI with an approved service principal and scoped deployment grants is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the sampling_field_notes_north scenario, the observed evidence is that CI pipeline fails with an expired human authentication token; the requirement remains: unattended deployments require restricted non-personal credentials.

Certified Data Engineer Associate Practice Tests