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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 53

Question 520

A KQL query on an external Delta shortcut is slow, but no local copy should be created manually. Which postchange result provides the strongest validation of success?

  1. An intentionally replayed event ID does not increase the curated distinct event count.
  2. An injected restart does not duplicate committed business events.
  3. The native target supports the intended policy and returns transformed rows.
  4. The shortcut still resolves externally and acceleration metrics indicate cached reads.

Explanation

Correct Answer

D:

Both no-copy reference and cache behavior meet the constraints. This observation directly tests the expected outcome.

Incorrect Answers

A:

Controlled duplicate injection validates deduplication.

B:

Replay invariance validates restart safety.

C:

Supported item type and output validate the architecture.

Question 521

Consider this Microsoft Fabric case: A release must preserve production warehouse data while updating reusable SQL views to a new version. What measured result demonstrates that the requirement is satisfied?

  1. The repository commit contains both item definitions and target deployment resolves their matching versions.
  2. Production view definitions reflect the reviewed version and the table row counts remain stable.
  3. The production comparison shows exactly the expected notebook and pipeline changes.
  4. The repository contains versioned notebook definitions linked to the workspace and their commits can be reviewed.

Explanation

Correct Answer

B:

Postdeployment schema inspection and data checks jointly prove safe promotion. This observation directly tests the expected outcome.

Incorrect Answers

A:

Complete dependency versioning and target validation prevent drift.

C:

A scoped stage diff is the deployment approval evidence.

D:

Repository history validates version control rather than merely copying items.

Question 522

Repeated KQL dashboards compute the same grouped summary over native Eventhouse tables. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Sink counts match only selected types.
  2. Materialized counts match a raw reference query.
  3. Acceleration statistics show cached reads.
  4. Plan estimates better approximate actual row counts.

Explanation

Correct Answer

B:

Correctness and speed establish benefit. This observation directly tests the expected outcome.

Incorrect Answers

A:

Positive and negative event tests verify routing.

C:

Cache hits validate behavior. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Materialized counts match a raw reference query.

D:

Estimated-versus-actual data verifies impact. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Materialized counts match a raw reference query.

Question 523

A source adds nullable attributes during a staged rollout, and the target must retain old records while adopting the new fields. What should the engineer check to confirm that the intended behavior was achieved?

  1. Old rows show appropriate nulls and new rows populate the added attributes.
  2. Rejected rows remain traceable and valid rows retain unique target identities.
  3. A deleted source key disappears from the active target after the change batch.
  4. Records absent from the new snapshot are absent from the current-state target.

Explanation

Correct Answer

A:

Column alignment across both periods verifies compatibility. This observation directly tests the expected outcome.

Incorrect Answers

B:

Separate quarantine counts and clean target keys verify handling.

C:

The absence of a deleted key verifies CDC semantics.

D:

Deletion reconciliation verifies replacement semantics.

Question 524

Two small lookup datasets need a visual join on stable customer identity. Which postchange result provides the strongest validation of success?

  1. A nested XML fixture lands with the intended fields and types.
  2. Known products get correct categories and unmatched keys follow policy.
  3. Existing keys update without duplication and new keys appear.
  4. Matched and unmatched fixture keys produce expected outcomes.

Explanation

Correct Answer

D:

Join-key reconciliation validates semantics. This observation directly tests the expected outcome.

Incorrect Answers

A:

Record and field reconciliation validates parsing.

B:

Sample joins and unmatched handling prove accuracy.

C:

Key-level before/after comparison validates upsert.

Question 525

A warehouse dashboard query selects every column but uses only three. What should the engineer check to confirm that the intended behavior was achieved?

  1. Less data is transferred with identical visual totals.
  2. The plan distributes execution and preserves results.
  3. Plan estimates better approximate actual row counts.
  4. Result payload decreases with identical chart figures.

Explanation

Correct Answer

A:

I/O and result parity validate narrowing. This observation directly tests the expected outcome.

Incorrect Answers

B:

Plan evidence and correctness establish suitability.

C:

Estimated-versus-actual data verifies impact. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Less data is transferred with identical visual totals.

D:

Transferred bytes and parity validate optimization.

Question 526

Consider this Microsoft Fabric case: Power Query transformations in Dataflow Gen2 prevent an eligible SQL source filter from folding. What measured result demonstrates that the requirement is satisfied?

  1. Task durations even out while exact joins remain correct.
  2. Source-side query contains the filter with correct output.
  3. Task intervals overlap with correct destination rows.
  4. Refresh diagnostics show Fast Copy and reconciled destination rows.

Explanation

Correct Answer

B:

Folded query and row parity prove pushdown. This observation directly tests the expected outcome.

Incorrect Answers

A:

Balanced tasks and row parity verify mitigation.

C:

Timeline and reconciliation validate safe speedup.

D:

Mode and output validate the optimization.

Question 527

An upstream application writes a new file unpredictably; analytics must start only when a matching file-arrival event occurs. What should the engineer check to confirm that the intended behavior was achieved?

  1. The initial and existing-file test runs execute different branches as designed.
  2. The run creates one child activity execution for each returned file.
  3. A matching file creation causes one relevant pipeline run, while nonmatching files do not.
  4. Manual runs handle absent event fields gracefully while event-triggered runs resolve the file name.

Explanation

Correct Answer

C:

Matched and filtered-out test events validate the trigger predicate. This observation directly tests the expected outcome.

Incorrect Answers

A:

Observed branch selection proves the condition is evaluated correctly.

B:

Iteration count and per-file inputs validate dynamic fan-out.

D:

Success in both invocation modes validates the null-handling logic.

Question 528

A team grants a person item-level Read access to one report but they still cannot browse unrelated items. What should the engineer check to confirm that the intended behavior was achieved?

  1. The recipient opens the shared item while unrelated content remains inaccessible.
  2. A user outside the authorized group no longer opens the item, while approved members still can.
  3. The affected identity eventually resolves the revised role across the intended querying engines.
  4. Item details show the expected sensitivity label to permitted viewers.

Explanation

Correct Answer

A:

Item-scoped positive and negative checks demonstrate least privilege. This observation directly tests the expected outcome.

Incorrect Answers

B:

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

C:

Effective post-propagation access is the useful validation rather than immediate UI membership.

D:

Classification metadata proves the label was applied.

Question 529

Independent Copy tasks run sequentially and exceed the ingestion window. Which postchange result provides the strongest validation of success?

  1. Committed versions show consistent data with no partial corrupt writes.
  2. Activity statistics and destination counts reconcile to the source.
  3. Activity timelines show overlap without throttling failures.
  4. Synthetic events yield the expected service-window counts.

Explanation

Correct Answer

C:

Elapsed time and clean output validate fan-out. This observation directly tests the expected outcome.

Incorrect Answers

A:

Transaction history and row checks demonstrate integrity.

B:

Rows and bytes alone are insufficient without target reconciliation.

D:

Bucket reconciliation verifies correct time grouping.

Question 530

A deployed notebook must target the test lakehouse rather than a development lakehouse even when the workspace has a different default. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The deployed notebook resolves its default lakehouse to the test target after deployment.
  2. The workspace Git status shows synchronization and the notebook matches the merged commit.
  3. The repository commit contains both item definitions and target deployment resolves their matching versions.
  4. The Test shortcut points to the intended Test lakehouse rather than back to Development.

Explanation

Correct Answer

A:

Inspecting the effective target binding verifies the override. This observation directly tests the expected outcome.

Incorrect Answers

B:

Matching revision and sync status verify that the incoming source was applied.

C:

Complete dependency versioning and target validation prevent drift.

D:

Target-reference inspection catches accidental cross-stage coupling.