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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 45

Question 440

An internal OneLake shortcut refers to another lakehouse in Development and the corresponding lakehouse exists in Test. What should the engineer check to confirm that the intended behavior was achieved?

  1. The repo diff contains lakehouse metadata while CSV content remains in OneLake storage.
  2. Each environment reports the expected schema and its own authorized configuration.
  3. The Test shortcut points to the intended Test lakehouse rather than back to Development.
  4. The deployed notebook resolves its default lakehouse to the test target after deployment.

Explanation

Correct Answer

C:

Target-reference inspection catches accidental cross-stage coupling. This observation directly tests the expected outcome.

Incorrect Answers

A:

The difference is expected and validates separation of code and data.

B:

Equal object definitions and distinct intended settings show controlled reuse.

D:

Inspecting the effective target binding verifies the override.

Question 441

A supported Dataflow Gen2 performs bulk movement with very few transforms yet refresh is slow. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The plan avoids repeated conversion and returns the same rows.
  2. Source-side query contains the filter with correct output.
  3. Refresh diagnostics show Fast Copy and reconciled destination rows.
  4. Task intervals overlap with correct destination rows.

Explanation

Correct Answer

C:

Mode and output validate the optimization. This observation directly tests the expected outcome.

Incorrect Answers

A:

Plan and result tests validate type alignment.

B:

Folded query and row parity prove pushdown.

D:

Timeline and reconciliation validate safe speedup.

Question 442

Consider this Microsoft Fabric case: A Dataflow Gen2 refresh fails to authenticate to its on-premises source. What measured result demonstrates that the requirement is satisfied?

  1. A bad-value fixture is isolated and valid rows refresh correctly.
  2. The dataflow source preview and refresh both authenticate successfully.
  3. The query compiles and returns expected join results for a fixture.
  4. A fresh session on the chosen runtime executes the failing package call successfully.

Explanation

Correct Answer

B:

Source access and completed refresh validate the fix. This observation directly tests the expected outcome.

Incorrect Answers

A:

Controlled rejection validates transformation resilience.

C:

Parse success and result correctness validate syntax repair.

D:

Version and successful reproduction validate compatibility.

Question 443

Consider this Microsoft Fabric case: A new production notebook requires a runtime with features not available in the runtime currently attached to its environment. What measured result demonstrates that the requirement is satisfied?

  1. Pipeline run diagnostics show compatible notebook activities using the same session.
  2. The workspace metadata reports the existing domain and the intended new assignment is recorded separately.
  3. The new session's pool identifier equals the configured environment pool.
  4. A fresh session reports the intended runtime version before the workload executes.

Explanation

Correct Answer

D:

Runtime identity in session metadata is direct evidence of the active engine. This observation directly tests the expected outcome.

Incorrect Answers

A:

Shared session identification validates execution reuse; a green pipeline status alone does not.

B:

Baseline domain metadata prevents accidental reassignment of an unrelated workspace.

C:

The session's actual pool binding confirms the intended compute placement.

Question 444

Consider this Microsoft Fabric case: A notebook runs successfully with one Spark runtime but fails on a package API after its attached runtime changes. What measured result demonstrates that the requirement is satisfied?

  1. The job completes distributed execution without a driver out-of-memory termination.
  2. The deployed notebook reads the correct target-stage table rather than the development one.
  3. The dataflow source preview and refresh both authenticate successfully.
  4. A fresh session on the chosen runtime executes the failing package call successfully.

Explanation

Correct Answer

D:

Version and successful reproduction validate compatibility. This observation directly tests the expected outcome.

Incorrect Answers

A:

Execution topology and memory behavior validate remediation.

B:

Resolved item IDs and read results prove correct binding.

C:

Source access and completed refresh validate the fix.

Question 445

An external OneLake shortcut begins failing after its storage access token expires. What should the engineer check to confirm that the intended behavior was achieved?

  1. A matching file causes a run while an excluded path does not.
  2. A known event lands with its expected timestamp and other fields.
  3. Run inputs show the intended resolved path and the source file is found.
  4. The existing shortcut path reads the expected source file again.

Explanation

Correct Answer

D:

Same logical target plus restored read confirms repair. This observation directly tests the expected outcome.

Incorrect Answers

A:

Positive and negative event cases validate filtering.

B:

Field-level inspection confirms mapping repair.

C:

Effective path plus file discovery validates the correction.

Question 446

Consider this Microsoft Fabric case: A database team wants to review and version a Fabric Warehouse schema as code before deploying T-SQL changes. What measured result demonstrates that the requirement is satisfied?

  1. The production comparison shows exactly the expected notebook and pipeline changes.
  2. The repository commit contains both item definitions and target deployment resolves their matching versions.
  3. The release record identifies the exact source commit and target deployment outcome.
  4. A project build produces the expected schema model and a reviewed deployment diff.

Explanation

Correct Answer

D:

Successful build and intended object diff validate declarative schema change management. This observation directly tests the expected outcome.

Incorrect Answers

A:

A scoped stage diff is the deployment approval evidence.

B:

Complete dependency versioning and target validation prevent drift.

C:

A traceable commit-to-deployment mapping is evidence of reproducibility.

Question 447

A Warehouse report groups orders by business date and sales channel. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Counts per date-channel pair reconcile with source rows.
  2. Only permitted categories remain while input and excluded counts reconcile.
  3. Execution scans only needed date partitions for a narrow filter.
  4. Activity statistics and destination counts reconcile to the source.

Explanation

Correct Answer

A:

Multi-key counts validate grouping. This observation directly tests the expected outcome.

Incorrect Answers

B:

Positive and negative category checks validate filtering.

C:

File scan metrics validate pruning.

D:

Rows and bytes alone are insufficient without target reconciliation.

Question 448

In a Fabric workspace, the notebook high-concurrency option was disabled. Two compatible notebooks run under the same identity with the same default lakehouse, Spark configuration, and libraries, and repeatedly incur independent Spark startup overhead. The engineer implements this change: enable the For notebooks high-concurrency option under the workspace Spark settings. Which observed result would provide the most direct evidence that the change achieved its intended goal?

  1. The two compatible notebooks attach to the same active high-concurrency Spark session without starting a second Spark application.
  2. A notebook using Workspace default resolves the centrally selected environment and its packages.
  3. New supported OneLake operations create diagnostic records in the selected lakehouse with the expected operation metadata.
  4. The notebook's Spark session reports the larger executor resources while unrelated jobs retain defaults.

Explanation

Correct Answer

A:

The shared Spark session ID, rather than notebook success alone, demonstrates reuse of execution capacity. It specifically confirms the result of this change: Enable the For notebooks high-concurrency option under the workspace Spark settings.

Incorrect Answers

B:

Inspecting the effective environment verifies inherited configuration instead of relying on the item label. It does not establish the required result, which is: The two compatible notebooks attach to the same active high-concurrency Spark session without starting a second Spark application.

C:

A verified newly generated diagnostics record demonstrates that event capture and destination routing are active. It does not establish the required result, which is: The two compatible notebooks attach to the same active high-concurrency Spark session without starting a second Spark application.

D:

Comparing session resources shows that isolation was preserved. It does not establish the required result, which is: The two compatible notebooks attach to the same active high-concurrency Spark session without starting a second Spark application.

Question 449

A pipeline writes new inventory records in batches but a failure can happen between writing data and advancing its watermark. What should the engineer check to confirm that the intended behavior was achieved?

  1. All records at the boundary timestamp appear after a restart without double insertion.
  2. Affected daily totals change to the recomputed correct values with no duplicate contribution.
  3. Records absent from the new snapshot are absent from the current-state target.
  4. After an injected failure, rerunning recovers affected records and then advances the watermark.

Explanation

Correct Answer

D:

Fault-injection replay demonstrates transaction-safe progress. This observation directly tests the expected outcome.

Incorrect Answers

A:

Boundary-key tests validate the non-lossy cursor.

B:

Measure reconciliation confirms corrections propagated.

C:

Deletion reconciliation verifies replacement semantics.

Question 450

A Spark notebook is intermittently terminating during a nightly run and operators need executor-level clues. Which postchange result provides the strongest validation of success?

  1. The failing run exposes a differing effective parameter or connection condition.
  2. The failing stack trace or executor event is present and correlates to the run ID.
  3. A controlled threshold-crossing event produces the intended notification.
  4. The slow stage appears with disproportionately high execution duration.

Explanation

Correct Answer

B:

Correlated logs support root-cause analysis. This observation directly tests the expected outcome.

Incorrect Answers

A:

Controlled comparison identifies a reproducible discrepancy.

C:

An injected threshold case validates the alert.

D:

Granular timing identifies the actual hot spot.