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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 40

Question 390

A pipeline is called for multiple countries and needs its source path to vary without editing its JSON each time. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Runs at both times show the appropriate schedule and parameter payload.
  2. The initial and existing-file test runs execute different branches as designed.
  3. The loop stops on success and times out when the external status never changes.
  4. Runs with two parameter values read from their corresponding intended paths.

Explanation

Correct Answer

D:

Parameter-to-actual-path mapping validates runtime substitution. This observation directly tests the expected outcome.

Incorrect Answers

A:

Schedule-to-run parameter matching confirms multi-window orchestration.

B:

Observed branch selection proves the condition is evaluated correctly.

C:

Both terminal outcomes validate bounded polling.

Question 391

Consider this Microsoft Fabric case: A warehouse receives late corrections to transactions that were already aggregated into daily reports. What measured result demonstrates that the requirement is satisfied?

  1. Affected daily totals change to the recomputed correct values with no duplicate contribution.
  2. A modified existing customer changes one target row without creating a duplicate customer.
  3. After an injected failure, rerunning recovers affected records and then advances the watermark.
  4. A historical transaction recomputes to the approved reporting amount using its recorded rate context.

Explanation

Correct Answer

A:

Measure reconciliation confirms corrections propagated. This observation directly tests the expected outcome.

Incorrect Answers

B:

Matched row identity and updated values prove correct upsert behavior.

C:

Fault-injection replay demonstrates transaction-safe progress.

D:

Point-in-time financial reconciliation validates the model.

Question 392

Consider this Microsoft Fabric case: Spark aggregates millions of rows after collecting all data into the notebook driver. What measured result demonstrates that the requirement is satisfied?

  1. Workers aggregate and only small results reach the driver.
  2. The plan distributes execution and preserves results.
  3. Same target-device results are returned with less work.
  4. Shuffle bytes fall and grouped results remain equal.

Explanation

Correct Answer

A:

Driver memory plus measure equality prove improvement. This observation directly tests the expected outcome.

Incorrect Answers

B:

Plan evidence and correctness establish suitability.

C:

Scan diagnostics and output equality verify improvement.

D:

Execution evidence validates the rewrite.

Question 393

A source-control commit for a lakehouse is expected to include the Files folder's customer CSVs, but only metadata appears in Git. What should the engineer check to confirm that the intended behavior was achieved?

  1. The Test lakehouse definition updates while its pre-existing data rows remain unchanged.
  2. The Test shortcut points to the intended Test lakehouse rather than back to Development.
  3. The repo diff contains lakehouse metadata while CSV content remains in OneLake storage.
  4. The repository commit contains both item definitions and target deployment resolves their matching versions.

Explanation

Correct Answer

C:

The difference is expected and validates separation of code and data. This observation directly tests the expected outcome.

Incorrect Answers

A:

Preserved data alongside changed metadata proves the correct lifecycle boundary.

B:

Target-reference inspection catches accidental cross-stage coupling.

D:

Complete dependency versioning and target validation prevent drift.

Question 394

A Dataflow Gen2 refresh fails only when its on-premises gateway is offline. What should the engineer check to confirm that the intended behavior was achieved?

  1. A fresh session on the chosen runtime executes the failing package call successfully.
  2. The revised query resolves and returns the intended status values.
  3. A bad-value fixture is isolated and valid rows refresh correctly.
  4. Gateway status is healthy and a fresh dataflow read succeeds.

Explanation

Correct Answer

D:

Connectivity evidence isolates the gateway problem. This observation directly tests the expected outcome.

Incorrect Answers

A:

Version and successful reproduction validate compatibility.

B:

Schema inspection and output correctness validate repair.

C:

Controlled rejection validates transformation resilience.

Question 395

Two otherwise compatible interactive notebooks refuse to share a session after a team adds a different package to one published environment. Which postchange result provides the strongest validation of success?

  1. New sessions for each attached notebook import the pinned package version from the environment.
  2. A fresh session imports the new pinned library version and no longer resolves the old one.
  3. The notebook's Spark session reports the larger executor resources while unrelated jobs retain defaults.
  4. The notebooks report matching library sets and become attached to one shared Spark session.

Explanation

Correct Answer

D:

A common package environment plus actual attachment demonstrates the original blocker is gone. This observation directly tests the expected outcome.

Incorrect Answers

A:

Successful imports on fresh sessions show package governance is effective.

B:

A new session, not a stale active interpreter, proves the published change applied.

C:

Comparing session resources shows that isolation was preserved.

Question 396

Consider this Microsoft Fabric case: A deployment creates an empty target lakehouse while notebooks continue pointing to an upstream lakehouse through dependency mapping. What measured result demonstrates that the requirement is satisfied?

  1. The deployed notebook resolves its default lakehouse to the test target after deployment.
  2. The repository contains versioned notebook definitions linked to the workspace and their commits can be reviewed.
  3. The notebook's default lakehouse points to the selected mapped resource and the empty target item is identified.
  4. The repository commit contains both item definitions and target deployment resolves their matching versions.

Explanation

Correct Answer

C:

Checking actual target IDs distinguishes provisioning from dependent binding. This observation directly tests the expected outcome.

Incorrect Answers

A:

Inspecting the effective target binding verifies the override.

B:

Repository history validates version control rather than merely copying items.

D:

Complete dependency versioning and target validation prevent drift.

Question 397

An analytics team needs the same third-party Python library version in dozens of notebooks without maintaining installation cells in every notebook. What should the engineer check to confirm that the intended behavior was achieved?

  1. The attached environment exposes editable compute settings and the notebook uses the selected driver size.
  2. A fresh session imports the new pinned library version and no longer resolves the old one.
  3. The notebooks report matching library sets and become attached to one shared Spark session.
  4. New sessions for each attached notebook import the pinned package version from the environment.

Explanation

Correct Answer

D:

Successful imports on fresh sessions show package governance is effective. This observation directly tests the expected outcome.

Incorrect Answers

A:

Editable, effective environment configuration verifies the intended per-workload exception.

B:

A new session, not a stale active interpreter, proves the published change applied.

C:

A common package environment plus actual attachment demonstrates the original blocker is gone.

Question 398

Administrators want to stop all workspace notebooks from selecting arbitrary per-item Spark sizes during a cost-control period. Which postchange result provides the strongest validation of success?

  1. A notebook using Workspace default resolves the centrally selected environment and its packages.
  2. New sessions for each attached notebook import the pinned package version from the environment.
  3. Compute overrides become unavailable in environments and sessions use workspace defaults.
  4. The second notebook attaches to an existing session without launching another Spark application.

Explanation

Correct Answer

C:

Both an unavailable override and the effective default sizes confirm governance. This observation directly tests the expected outcome.

Incorrect Answers

A:

Inspecting the effective environment verifies inherited configuration instead of relying on the item label.

B:

Successful imports on fresh sessions show package governance is effective.

D:

Session reuse, not merely the notebook's successful completion, verifies reduced startup overhead.

Question 399

A team wants a preview of which Fabric item definitions differ between deployment pipeline stages before releasing to production. Which postchange result provides the strongest validation of success?

  1. Each environment reports the expected schema and its own authorized configuration.
  2. The production comparison shows exactly the expected notebook and pipeline changes.
  3. The notebook's default lakehouse points to the selected mapped resource and the empty target item is identified.
  4. The remote branch contains a new commit describing the changed pipeline definition.

Explanation

Correct Answer

B:

A scoped stage diff is the deployment approval evidence. This observation directly tests the expected outcome.

Incorrect Answers

A:

Equal object definitions and distinct intended settings show controlled reuse.

C:

Checking actual target IDs distinguishes provisioning from dependent binding.

D:

The repository commit is evidence of persistence outside the workspace.

Question 400

A storage event trigger is enabled but only files outside the configured subject path are being created. 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. The existing shortcut path reads the expected source file again.
  3. Run inputs show the intended resolved path and the source file is found.
  4. A known event lands with its expected timestamp and other fields.

Explanation

Correct Answer

A:

Positive and negative event cases validate filtering. This observation directly tests the expected outcome.

Incorrect Answers

B:

Same logical target plus restored read confirms repair.

C:

Effective path plus file discovery validates the correction.

D:

Field-level inspection confirms mapping repair.