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Exam Code: DP-700

Exam Name Implementing Data Engineering Solutions Using Microsoft Fabric

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Fabric Data Engineer Associate

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Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Practice Tests

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Microsoft DP-700 Practice Test 48

Question 470

A mirrored operational database already supplies source updates into Fabric. What should the engineer check to confirm that the intended behavior was achieved?

  1. Committed versions show consistent data with no partial corrupt writes.
  2. A new source update appears in Fabric without an extra scheduled copy.
  3. After refresh, the new field appears without shifting older columns.
  4. The file folder is listed while no unintended query table appears.

Explanation

Correct Answer

B:

Live change observation verifies reuse. This observation directly tests the expected outcome.

Incorrect Answers

A:

Transaction history and row checks demonstrate integrity.

C:

Old and new column mappings both reconcile.

D:

The registration boundary matches the requirement.

Question 471

Call center agents may query an email field but should normally see only obfuscated characters rather than the full address. Which postchange result provides the strongest validation of success?

  1. A user outside the authorized group no longer opens the item, while approved members still can.
  2. The same query displays masked emails for agents and full values for authorized privileged users.
  3. After the approved guest-access policy change, the guest's authorized data query succeeds.
  4. The same SQL statement returns distinct authorized subsets under test identities.

Explanation

Correct Answer

B:

Differing result representations validate masking without changing stored values. This observation directly tests the expected outcome.

Incorrect Answers

A:

Testing excluded and included identities verifies that the broad exposure is closed.

C:

Guest-specific test confirms identity prerequisites, not only role membership.

D:

An unchanged query with identity-dependent results validates dynamic RLS.

Question 472

A PySpark notebook dies while collecting an enormous DataFrame to the driver. What should the engineer check to confirm that the intended behavior was achieved?

  1. The next run stays within source limits and completes without unhandled 429 responses.
  2. The deployed notebook reads the correct target-stage table rather than the development one.
  3. A fresh session on the chosen runtime executes the failing package call successfully.
  4. The job completes distributed execution without a driver out-of-memory termination.

Explanation

Correct Answer

D:

Execution topology and memory behavior validate remediation. This observation directly tests the expected outcome.

Incorrect Answers

A:

Observed request rate and success demonstrate control.

B:

Resolved item IDs and read results prove correct binding.

C:

Version and successful reproduction validate compatibility.

Question 473

A dimensional warehouse has transaction currency values stored in changing source currencies but financial reports need consistent conversion context. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Distinct transactions with equal line numbers remain, while exact duplicate composite keys collapse.
  2. A historical transaction recomputes to the approved reporting amount using its recorded rate context.
  3. Affected daily totals change to the recomputed correct values with no duplicate contribution.
  4. A product/date slicer groups sales and returns using matching dimension members.

Explanation

Correct Answer

B:

Point-in-time financial reconciliation validates the model. This observation directly tests the expected outcome.

Incorrect Answers

A:

Surviving composite keys validate the intended grain.

C:

Measure reconciliation confirms corrections propagated.

D:

Consistent joins across fact tables validate conformance.

Question 474

A remediation alert repeats every minute for the same unresolved ingestion incident, overwhelming on-call staff. Which postchange result provides the strongest validation of success?

  1. Notifications include run ID and failure category but no private field values.
  2. One incident produces bounded notifications and a distinct new incident still alerts.
  3. Errors align with the change time and clear after credential repair.
  4. A known 45-minute run is flagged and a 35-minute run is not.

Explanation

Correct Answer

B:

Separate incident keys validate noise control. This observation directly tests the expected outcome.

Incorrect Answers

A:

Payload inspection validates safe observability.

C:

Temporal evidence confirms the operational cause.

D:

Both sides of the boundary verify the rule.

Question 475

Automatic CSV inference misclassifies a mixed date column. What should the engineer check to confirm that the intended behavior was achieved?

  1. Counts per date-channel pair reconcile with source rows.
  2. The file folder is listed while no unintended query table appears.
  3. Valid dates parse while invalid values are flagged for review.
  4. Values land under the correct names after union.

Explanation

Correct Answer

C:

Fixtures test both accepted and rejected cases. This observation directly tests the expected outcome.

Incorrect Answers

A:

Multi-key counts validate grouping. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Valid dates parse while invalid values are flagged for review.

B:

The registration boundary matches the requirement.

D:

Column checks catch positional corruption.

Question 476

Consider this Microsoft Fabric case: Business analysts must not discover or execute an unreleased stored procedure in a Fabric Warehouse. What measured result demonstrates that the requirement is satisfied?

  1. A user outside the authorized group no longer opens the item, while approved members still can.
  2. An analyst can select allowed columns but receives an authorization error for Salary.
  3. Different analyst identities querying the same table obtain only their authorized regional rows.
  4. An unauthorized identity cannot execute the procedure while authorized users can.

Explanation

Correct Answer

D:

Execution tests under both identities verify the object permission boundary. This observation directly tests the expected outcome.

Incorrect Answers

A:

Testing excluded and included identities verifies that the broad exposure is closed.

B:

Denied access to the protected column demonstrates enforcement.

C:

Identity-specific row sets directly test the filtering predicate.

Question 477

A warehouse query globally sorts a huge intermediate dataset and runs slowly. What should the engineer check to confirm that the intended behavior was achieved?

  1. The plan reveals the large scan or sort for review.
  2. The sort node processes fewer rows after revision.
  3. The plan joins fewer fact rows while results match.
  4. Task intervals overlap with correct destination rows.

Explanation

Correct Answer

B:

Operator metrics verify the change. This observation directly tests the expected outcome.

Incorrect Answers

A:

Plan availability validates safe diagnosis.

C:

Rows and output parity confirm optimization.

D:

Timeline and reconciliation validate safe speedup.

Question 478

A trusted lakehouse dataset should be identified to coworkers as vetted by the data stewardship team. What should the engineer check to confirm that the intended behavior was achieved?

  1. The item shows the expected endorsement in the OneLake catalog.
  2. Item details show the expected sensitivity label to permitted viewers.
  3. The lead can share an item but cannot delete the workspace.
  4. The recipient opens the shared item while unrelated content remains inaccessible.

Explanation

Correct Answer

A:

Catalog metadata demonstrates the item's reviewed trust signal. This observation directly tests the expected outcome.

Incorrect Answers

B:

Classification metadata proves the label was applied.

C:

These distinct effective capabilities confirm the chosen scope.

D:

Item-scoped positive and negative checks demonstrate least privilege.

Question 479

Consider this Microsoft Fabric case: Several terabytes must be moved from a supported source with little transformation. What measured result demonstrates that the requirement is satisfied?

  1. Only permitted categories remain while input and excluded counts reconcile.
  2. Activity statistics and destination counts reconcile to the source.
  3. Counts per date-channel pair reconcile with source rows.
  4. Structured tables are queryable and reconcile with source files.

Explanation

Correct Answer

B:

Rows and bytes alone are insufficient without target reconciliation. This observation directly tests the expected outcome.

Incorrect Answers

A:

Positive and negative category checks validate filtering.

C:

Multi-key counts validate grouping. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Activity statistics and destination counts reconcile to the source.

D:

Table registration and row correspondence confirm transformation.

Question 480

A team needs to detect if pipeline runs exceed the 40-minute ingestion service-level objective. Which postchange result provides the strongest validation of success?

  1. A known 45-minute run is flagged and a 35-minute run is not.
  2. Incoming-event or ingestion counters advance after a test event.
  3. Daily failed-run counts match the underlying records and show the trend.
  4. The missing file causes a freshness alert despite other successful runs.

Explanation

Correct Answer

A:

Both sides of the boundary verify the rule. This observation directly tests the expected outcome.

Incorrect Answers

B:

Eventhouse-side counts validate reception. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: A known 45-minute run is flagged and a 35-minute run is not.

C:

Reproducible aggregation supports a reliability assessment.

D:

Negative input testing validates the detection.