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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 42

Question 410

A Warehouse T-SQL query fails due to a malformed JOIN syntax after an editing change. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The revised query resolves and returns the intended status values.
  2. Previously rejected fixture rows land with valid target types and values.
  3. The query compiles and returns expected join results for a fixture.
  4. The updated shortcut resolves the new exact path and returns the expected object.

Explanation

Correct Answer

C:

Parse success and result correctness validate syntax repair. This observation directly tests the expected outcome.

Incorrect Answers

A:

Schema inspection and output correctness validate repair.

B:

Row-level type checks confirm mapping alignment.

D:

Target-location inspection validates the fix.

Question 411

Concurrent notebooks may write Delta updates to the same table. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The consumer lakehouse lists the registered shortcut table.
  2. Committed versions show consistent data with no partial corrupt writes.
  3. Known products get correct categories and unmatched keys follow policy.
  4. A new source update appears in Fabric without an extra scheduled copy.

Explanation

Correct Answer

B:

Transaction history and row checks demonstrate integrity. This observation directly tests the expected outcome.

Incorrect Answers

A:

Metadata registration plus row match verifies the mapping.

C:

Sample joins and unmatched handling prove accuracy.

D:

Live change observation verifies reuse.

Question 412

Analysts need a continuous hourly series including intervals with no events, not only hours where rows exist. Which postchange result provides the strongest validation of success?

  1. Only the expected matching device-time pairs are emitted.
  2. Recent incoming events are available in Eventhouse with expected ingestion freshness.
  3. New source events produce transformed target rows with expected field values.
  4. The resulting series includes every expected hour with defined empty-bin behavior.

Explanation

Correct Answer

D:

Series length and missing-interval output validate regularity. This observation directly tests the expected outcome.

Incorrect Answers

A:

Positive and negative temporal fixtures verify the join.

B:

Direct event availability verifies the hot path.

C:

Ingested target output validates policy execution.

Question 413

Consider this Microsoft Fabric case: A project requires live storage references but no physical replication into Fabric. What measured result demonstrates that the requirement is satisfied?

  1. Source file modifications are visible through the reference.
  2. The curated Delta table reflects tested joins and rejected parse cases.
  3. A source update becomes visible in mirrored rows without a manual Copy job.
  4. The Delta schema and sample values use correct data types.

Explanation

Correct Answer

A:

No duplicate stored replica is required. This observation directly tests the expected outcome.

Incorrect Answers

B:

Correct processed and rejected rows prove execution.

C:

Change propagation is stronger evidence than initial table creation.

D:

Value and schema checks validate parsing.

Question 414

Events from devices carry local timestamps from several time zones and must be comparable in a global stream. What should the engineer check to confirm that the intended behavior was achieved?

  1. Two known simultaneous events from different zones land in the same UTC interval.
  2. A late record within the overlap is eventually present exactly once in the target.
  3. The formerly missing date reconciles while adjacent date counts remain stable.
  4. Queries for dates before and after the change resolve to different dimension versions.

Explanation

Correct Answer

A:

Cross-zone timestamp equivalence validates normalization. This observation directly tests the expected outcome.

Incorrect Answers

B:

Late-arrival capture plus unique target keys validates safe overlap handling.

C:

Date-scoped reconciliation confirms safe restoration.

D:

Point-in-time joins verify that history was preserved.

Question 415

A Viewer with a lakehouse ReadAll item permission sees tables even though no custom OneLake role was created by an administrator. What should the engineer check to confirm that the intended behavior was achieved?

  1. Relevant role-change events identify the acting principal and change time.
  2. After the approved guest-access policy change, the guest's authorized data query succeeds.
  3. Role inspection reveals the default reader and effective user membership.
  4. A user outside the authorized group no longer opens the item, while approved members still can.

Explanation

Correct Answer

C:

The automatic role explains access that is not listed in a custom role. This observation directly tests the expected outcome.

Incorrect Answers

A:

The activity trace links permission modification to the responsible actor.

B:

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

D:

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

Question 416

Consider this Microsoft Fabric case: A Fabric workspace currently tracks a feature branch but the team must synchronize only the mainline release branch. What measured result demonstrates that the requirement is satisfied?

  1. A deployment advances selected item definitions to the assigned Test workspace.
  2. The workspace connection reports the intended branch and content matches its commit.
  3. Each environment reports the expected schema and its own authorized configuration.
  4. The Test shortcut points to the intended Test lakehouse rather than back to Development.

Explanation

Correct Answer

B:

Branch identity and content synchronization validate selection. This observation directly tests the expected outcome.

Incorrect Answers

A:

A successful stage-to-stage definition promotion demonstrates the release route.

C:

Equal object definitions and distinct intended settings show controlled reuse.

D:

Target-reference inspection catches accidental cross-stage coupling.

Question 417

A warehouse app downloads a million rows and then filters locally for a dashboard. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Less data is transferred with identical visual totals.
  2. Version tests pass after lower obsolete storage usage.
  3. Plan estimates better approximate actual row counts.
  4. Result payload decreases with identical chart figures.

Explanation

Correct Answer

D:

Transferred bytes and parity validate optimization. This observation directly tests the expected outcome.

Incorrect Answers

A:

I/O and result parity validate narrowing.

B:

Recovery safety and capacity prove housekeeping.

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: Result payload decreases with identical chart figures.

Question 418

A KQL query needs error totals for each application and each minute. What should the engineer check to confirm that the intended behavior was achieved?

  1. A value above the threshold is flagged while a value below is not.
  2. Every sample event contributes to the intended single window.
  3. Known events contribute to the expected overlapping window outputs.
  4. One-minute fixture counts match the calculated output.

Explanation

Correct Answer

D:

Time-boundary events validate bucket membership. This observation directly tests the expected outcome.

Incorrect Answers

A:

Boundary samples validate the predicate.

B:

Boundary records confirm nonoverlapping grouping.

C:

Window memberships validate hop and duration.

Question 419

A single event source includes multiple device types, but one destination should receive only temperature messages. What should the engineer check to confirm that the intended behavior was achieved?

  1. Temperature test events reach the destination and pressure events do not.
  2. Malformed fixtures appear in the failure path and valid events reach the main sink.
  3. A late test event is assigned to its original event-time bucket.
  4. A known payload yields its correct numeric temperature for aggregation.

Explanation

Correct Answer

A:

Both included and excluded events validate the predicate. This observation directly tests the expected outcome.

Incorrect Answers

B:

Conservation across paths validates resilience.

C:

Temporal bucket placement validates event-time processing.

D:

Value and type checks validate extraction.

Question 420

Consider this Microsoft Fabric case: A Warehouse conversion fails when a varchar column contains values outside the expected numeric range. What measured result demonstrates that the requirement is satisfied?

  1. The query compiles and returns expected join results for a fixture.
  2. Valid values convert exactly and invalid values are handled explicitly.
  3. Previously rejected fixture rows land with valid target types and values.
  4. The revised query resolves and returns the intended status values.

Explanation

Correct Answer

B:

Boundary fixtures verify the correction. This observation directly tests the expected outcome.

Incorrect Answers

A:

Parse success and result correctness validate syntax repair.

C:

Row-level type checks confirm mapping alignment.

D:

Schema inspection and output correctness validate repair.