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Databricks Certified Data Engineer Associate Practice Test 77

Question 760

Consider the admission_scan_events_north workload at Regional sporting venue: admission_scan_events_north table exposes national IDs to analysts who need only transaction amounts. Inspection found that query review shows raw identifier values in common reports. The governed outcome must ensure that users without an approved role must see masked sensitive columns. 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. Rename identifier column to a harmless label while leaving values visible at Regional sporting venue
  2. Query the same column as privileged and unprivileged groups
  3. Apply Unity Catalog column masks or suitable centrally governed masking policy
  4. Monitor new PII columns, mask failures and unapproved policy changes for admission_scan_events_north

Explanation

Correct Answer

D:

Monitor new PII columns, mask failures and unapproved policy changes for admission_scan_events_north creates recurring visibility into the failure mode (admission_scan_events_north table exposes national IDs to analysts who need only transaction amounts). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while users without an approved role must see masked sensitive columns.

Incorrect Answers

A:

Renaming a column does not protect its contents. The proposed action (Rename identifier column to a harmless label while leaving values visible at Regional sporting venue) does not meet the requirement that users without an approved role must see masked sensitive columns, nor does it constitute continuing operational detection.

B:

Query the same column as privileged and unprivileged groups is a one-time acceptance check. It does not supply continuing operational detection for admission_scan_events_north; a passing test cannot substitute for the specific task now required.

C:

Apply Unity Catalog column masks or suitable centrally governed masking policy is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the admission_scan_events_north scenario, the observed evidence is that query review shows raw identifier values in common reports; the requirement remains: users without an approved role must see masked sensitive columns.

Question 761

At Multinational parts distributor, the bundle CLI validation workflow handles warehouse movement logs. The problem is that warehouse_movement_logs_metro bundle deployment fails after someone changes its job task reference. Evidence: CLI output identifies invalid resource or variable configuration. Constraint: the error must be caught before production resources change. 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. Always run bundle deploy despite failing validation at Multinational parts distributor
  2. Submit a deliberately invalid bundle and confirm promotion is blocked
  3. Inspect bundle manifest, resource paths and reported validator errors for warehouse_movement_logs_metro
  4. Add validation to CI and fail the job on errors

Explanation

Correct Answer

B:

Submit a deliberately invalid bundle and confirm promotion is blocked directly tests the behavior that should change following the correction. With the observed evidence (CLI output identifies invalid resource or variable configuration), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that the error must be caught before production resources change.

Incorrect Answers

A:

Deploying invalid configuration bypasses the preflight gate. The proposed action (Always run bundle deploy despite failing validation at Multinational parts distributor) does not meet the requirement that the error must be caught before production resources change, nor does it constitute the post-change acceptance test.

C:

Inspect bundle manifest, resource paths and reported validator errors for warehouse_movement_logs_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 warehouse_movement_logs_metro workflow still requires that the error must be caught before production resources change.

D:

Add validation to CI and fail the job on errors 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 CLI output identifies invalid resource or variable configuration. Here, the relevant situation is: the bundle CLI validation workflow handles warehouse movement logs. The problem is that….

Question 762

At Wholesale produce exchange, the CI service principal workflow handles trade settlement files. The problem is that trade_settlement_files_central deployment works only when the developer logs in interactively. Evidence: CI pipeline fails with an expired human authentication token. Constraint: unattended deployments require restricted non-personal credentials. 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. Inspect authentication identity, workspace permissions and token expiry for trade_settlement_files_central
  2. Rotate the pipeline to noninteractive credentials and test target validation
  3. Run unattended CI from a clean agent and verify only intended resources change
  4. Store the developer's personal token unencrypted in source control at Wholesale produce exchange

Explanation

Correct Answer

C:

Run unattended CI from a clean agent and verify only intended resources change directly tests the behavior that should change following the correction. With the observed evidence (CI pipeline fails with an expired human authentication token), the acceptance result must demonstrate actual data or permission correctness, while retaining the requirement that unattended deployments require restricted non-personal credentials.

Incorrect Answers

A:

Inspect authentication identity, workspace permissions and token expiry for trade_settlement_files_central 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_central workflow still requires that unattended deployments require restricted non-personal credentials.

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 post-change acceptance test, especially given the evidence that CI pipeline fails with an expired human authentication token. Here, the relevant situation is: the CI service principal workflow handles trade settlement files. The problem is that trade_settlement_files_central….

D:

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 Wholesale produce exchange) does not meet the requirement that unattended deployments require restricted non-personal credentials, nor does it constitute the post-change acceptance test.

Question 763

Consider the monthly_pension_movements_island workload at Public pension trustee: monthly_pension_movements_island quality validation flags an empty input but the pipeline always publishes gold. Inspection found that the job DAG lacks an if/else decision based on validation outcome. The governed outcome must ensure that empty invalid batches must skip publication while still reporting status. 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. Deploy a condition and branch tasks using an output from the validator
  2. Use a Lakeflow condition task to route pass and fail paths explicitly
  3. Always run publish regardless of validator outcome at Public pension trustee
  4. Test valid and invalid input and verify only the intended branch executes

Explanation

Correct Answer

A:

Deploy a condition and branch tasks using an output from the validator provides a bounded way to introduce the approved solution into monthly_pension_movements_island and detect an early mismatch. The existing signal is the job DAG lacks an if/else decision based on validation outcome; a staged change protects the service requirement (empty invalid batches must skip publication while still reporting status) and makes rollback practical.

Incorrect Answers

B:

Use a Lakeflow condition task to route pass and fail paths explicitly is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the monthly_pension_movements_island scenario, the observed evidence is that the job DAG lacks an if/else decision based on validation outcome; the requirement remains: empty invalid batches must skip publication while still reporting status.

C:

Unconditional publication violates the quality gate. The proposed action (Always run publish regardless of validator outcome at Public pension trustee) does not meet the requirement that empty invalid batches must skip publication while still reporting status, nor does it constitute the controlled implementation step.

D:

Test valid and invalid input and verify only the intended branch executes is a one-time acceptance check. It does not supply the controlled implementation step for monthly_pension_movements_island; a passing test cannot substitute for the specific task now required.

Question 764

At International language school, the class enrollment data workflow depends on class_enrollment_data_north. Engineers report that class_enrollment_data_north gold consumers need fresh incremental data from an append-only event feed; the evidence is that the source produces new events continuously while downstream reports lag by hours. They require that materialized output must incorporate new events with recoverable processing state. 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. Monitor stream backlog, checkpoint errors and data freshness for class_enrollment_data_north
  2. Build a governed streaming table for continuous or triggered incremental append processing
  3. Truncate and fully rebuild the target after every incoming event at International language school
  4. Append new source events and verify exactly the required incremental result

Explanation

Correct Answer

A:

Monitor stream backlog, checkpoint errors and data freshness for class_enrollment_data_north creates recurring visibility into the failure mode (class_enrollment_data_north gold consumers need fresh incremental data from an append-only event feed). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while materialized output must incorporate new events with recoverable processing state.

Incorrect Answers

B:

Build a governed streaming table for continuous or triggered incremental append processing is a plausible lasting design once chosen, but it does not perform continuing operational detection 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.

C:

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 continuing operational detection.

D:

Append new source events and verify exactly the required incremental result is a one-time acceptance check. It does not supply continuing operational detection for class_enrollment_data_north; a passing test cannot substitute for the specific task now required.

Question 765

A data engineer at Aquaculture farming group is responsible for water-quality readings. The Auto Loader notification discovery issue is that the water_quality_readings_rural landing zone has millions of objects and directory discovery is becoming expensive. The supporting evidence is that ingestion latency rises as source listing grows while only a few files arrive. The engineer must ensure that incremental detection must scale without repeatedly listing the whole prefix. The first acceptance run passed. The current task is to detect future regressions and changes over time. What repeatable measure detects this failure after go-live?

  1. Recursively list the entire object-store prefix every second at Aquaculture farming group
  2. Measure file discovery delay and completeness as the prefix grows
  3. Monitor notification lag, missed discoveries and fallbacks for water_quality_readings_rural
  4. Select supported managed file events or notification mode when appropriate

Explanation

Correct Answer

C:

Monitor notification lag, missed discoveries and fallbacks for water_quality_readings_rural creates recurring visibility into the failure mode (the water_quality_readings_rural landing zone has millions of objects and directory discovery is becoming expensive). Unlike a single successful test, the measure can reveal drift, lag, or new failures after later source and deployment changes while incremental detection must scale without repeatedly listing the whole prefix.

Incorrect Answers

A:

Repeated full listings increase costs and discovery latency. The proposed action (Recursively list the entire object-store prefix every second at Aquaculture farming group) does not meet the requirement that incremental detection must scale without repeatedly listing the whole prefix, nor does it constitute continuing operational detection.

B:

Measure file discovery delay and completeness as the prefix grows is a one-time acceptance check. It does not supply continuing operational detection for water_quality_readings_rural; a passing test cannot substitute for the specific task now required.

D:

Select supported managed file events or notification mode when appropriate is a plausible lasting design once chosen, but it does not perform continuing operational detection at this stage. In the water_quality_readings_rural scenario, the observed evidence is that ingestion latency rises as source listing grows while only a few files arrive; the requirement remains: incremental detection must scale without repeatedly listing the whole prefix.

Question 766

Consider the property_reservation_updates_highland workload at Multi-region rental platform: a streaming file reader for property_reservation_updates_highland reprocesses historical data after every job restart. Inspection found that the streaming query creates a new checkpoint directory on each run. The governed outcome must ensure that 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. Which continuing signal best reveals recurrence or drift?

  1. Delete checkpoint state as part of each successful load at Multi-region rental platform
  2. Restart after a micro-batch and confirm no duplicate file ingestion
  3. Monitor checkpoint accessibility and unexpected replay volume for property_reservation_updates_highland
  4. Configure cloudFiles with a stable checkpoint path for the property_reservation_updates_highland stream

Explanation

Correct Answer

C:

Monitor checkpoint accessibility and unexpected replay volume for property_reservation_updates_highland creates recurring visibility into the failure mode (a streaming file reader for property_reservation_updates_highland 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:

Deleting checkpoint progress can cause full replay. The proposed action (Delete checkpoint state as part of each successful load at Multi-region rental platform) 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.

B:

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

D:

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

Question 767

A data engineer at University research consortium is responsible for experiment records. The array explode issue is that experiment_records_central has one row per order with an array of purchased items. The supporting evidence is that the silver table counts order-level rows as product-level units. The engineer must ensure that downstream inventory reporting needs one row per element with its parent key. 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. Pilot nested extraction and test orders with multiple items
  2. Split the serialized array text on commas without parsing JSON at University research consortium
  3. Apply explode or explode_outer deliberately while retaining the order ID
  4. Verify element row counts and parent IDs for one-item and multi-item orders

Explanation

Correct Answer

A:

Pilot nested extraction and test orders with multiple items provides a bounded way to introduce the approved solution into experiment_records_central and detect an early mismatch. The existing signal is the silver table counts order-level rows as product-level units; a staged change protects the service requirement (downstream inventory reporting needs one row per element with its parent key) and makes rollback practical.

Incorrect Answers

B:

String splitting is not a typed nested-array transformation. The proposed action (Split the serialized array text on commas without parsing JSON at University research consortium) does not meet the requirement that downstream inventory reporting needs one row per element with its parent key, nor does it constitute the controlled implementation step.

C:

Apply explode or explode_outer deliberately while retaining the order ID is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the experiment_records_central scenario, the observed evidence is that the silver table counts order-level rows as product-level units; the requirement remains: downstream inventory reporting needs one row per element with its parent key.

D:

Verify element row counts and parent IDs for one-item and multi-item orders is a one-time acceptance check. It does not supply the controlled implementation step for experiment_records_central; a passing test cannot substitute for the specific task now required.

Question 768

At Aquaculture farming group, the water-quality readings workflow depends on water_quality_readings_highland. Engineers report that water_quality_readings_highland job has hundreds of thousands of very small tasks on a modest daily dataset; the evidence is that Spark UI shows scheduling overhead dominates work time. They require that the adjustment must keep exact output and avoid poor parallelism. 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. Compare results and runtime at multiple partition settings
  2. Set shuffle partitions to an arbitrary enormous value for all workloads at Aquaculture farming group
  3. Reduce excessive partitions or enable adaptive coalescing as appropriate
  4. Test bounded shuffle partition adjustment in staging and capture the plan

Explanation

Correct Answer

D:

Test bounded shuffle partition adjustment in staging and capture the plan provides a bounded way to introduce the approved solution into water_quality_readings_highland and detect an early mismatch. The existing signal is Spark UI shows scheduling overhead dominates work time; a staged change protects the service requirement (the adjustment must keep exact output and avoid poor parallelism) and makes rollback practical.

Incorrect Answers

A:

Compare results and runtime at multiple partition settings is a one-time acceptance check. It does not supply the controlled implementation step for water_quality_readings_highland; a passing test cannot substitute for the specific task now required.

B:

More tasks can increase scheduling overhead rather than speed work. The proposed action (Set shuffle partitions to an arbitrary enormous value for all workloads at Aquaculture farming group) does not meet the requirement that the adjustment must keep exact output and avoid poor parallelism, nor does it constitute the controlled implementation step.

C:

Reduce excessive partitions or enable adaptive coalescing as appropriate is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the water_quality_readings_highland scenario, the observed evidence is that Spark UI shows scheduling overhead dominates work time; the requirement remains: the adjustment must keep exact output and avoid poor parallelism.

Question 769

A data engineer at Air quality nonprofit is responsible for pollution measurements. The bundle CLI validation issue is that pollution_measurements_delta bundle deployment fails after someone changes its job task reference. The supporting evidence is that CLI output identifies invalid resource or variable configuration. The engineer must ensure that the error must be caught before production resources change. 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. Include `databricks bundle validate -t prod` before deployment
  2. Add validation to CI and fail the job on errors
  3. Submit a deliberately invalid bundle and confirm promotion is blocked
  4. Always run bundle deploy despite failing validation at Air quality nonprofit

Explanation

Correct Answer

B:

Add validation to CI and fail the job on errors provides a bounded way to introduce the approved solution into pollution_measurements_delta and detect an early mismatch. The existing signal is CLI output identifies invalid resource or variable configuration; a staged change protects the service requirement (the error must be caught before production resources change) and makes rollback practical.

Incorrect Answers

A:

Include `databricks bundle validate -t prod` before deployment is a plausible lasting design once chosen, but it does not perform the controlled implementation step at this stage. In the pollution_measurements_delta scenario, the observed evidence is that CLI output identifies invalid resource or variable configuration; the requirement remains: the error must be caught before production resources change.

C:

Submit a deliberately invalid bundle and confirm promotion is blocked is a one-time acceptance check. It does not supply the controlled implementation step for pollution_measurements_delta; a passing test cannot substitute for the specific task now required.

D:

Deploying invalid configuration bypasses the preflight gate. The proposed action (Always run bundle deploy despite failing validation at Air quality nonprofit) does not meet the requirement that the error must be caught before production resources change, nor does it constitute the controlled implementation step.

Question 770

At Renewable energy operator, the turbine sensor messages workflow depends on turbine_sensor_messages_coastal. Engineers report that turbine_sensor_messages_coastal job succeeds for a developer but fails under the production scheduler; the evidence is that audit logs show a personal identity has access that the service principal lacks. They require that production execution must use a durable least-privilege identity. 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. Compare interactive and job run-as grants for turbine_sensor_messages_coastal inputs and targets
  2. Switch run-as after validating access to each dependency
  3. Configure a scoped service principal job identity with required UC privileges
  4. Share the developer's personal access token as a permanent production secret at Renewable energy operator

Explanation

Correct Answer

A:

Compare interactive and job run-as grants for turbine_sensor_messages_coastal inputs and targets directly investigates the evidence (audit logs show a personal identity has access that the service principal lacks) and distinguishes possible causes of turbine_sensor_messages_coastal job succeeds for a developer but fails under the production scheduler. It establishes what must be corrected without assuming a fix before verifying the stated business requirement: production execution must use a durable least-privilege identity.

Incorrect Answers

B:

Switch run-as after validating access to each dependency 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 audit logs show a personal identity has access that the service principal lacks.

C:

Configure a scoped service principal job identity with required UC privileges is a plausible lasting design once chosen, but it does not perform the required pre-change investigation at this stage. In the turbine_sensor_messages_coastal scenario, the observed evidence is that audit logs show a personal identity has access that the service principal lacks; the requirement remains: production execution must use a durable least-privilege identity.

D:

Personal tokens are not durable least-privilege job identities. The proposed action (Share the developer's personal access token as a permanent production secret at Renewable energy operator) does not meet the requirement that production execution must use a durable least-privilege identity, nor does it constitute the required pre-change investigation.

Certified Data Engineer Associate Practice Tests