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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 38

Question 370

Devices send delayed events with an event-created timestamp different from ingestion time. What should the engineer check to confirm that the intended behavior was achieved?

  1. Each destination receives only its selected event categories.
  2. Only the expected matching device-time pairs are emitted.
  3. A late test event is assigned to its original event-time bucket.
  4. A new event appears promptly in the native KQL table and can be filtered.

Explanation

Correct Answer

C:

Temporal bucket placement validates event-time processing. This observation directly tests the expected outcome.

Incorrect Answers

A:

Cross-sink test cases verify isolation.

B:

Positive and negative temporal fixtures verify the join.

D:

Native ingestion evidence verifies local queryability.

Question 371

Consider this Microsoft Fabric case: A Delta target must update existing orders and insert unseen orders from staging. What measured result demonstrates that the requirement is satisfied?

  1. Each grouped result has unique keys and reconciled totals.
  2. A new source update appears in Fabric without an extra scheduled copy.
  3. Matched and unmatched fixture keys produce expected outcomes.
  4. Existing keys update without duplication and new keys appear.

Explanation

Correct Answer

D:

Key-level before/after comparison validates upsert. This observation directly tests the expected outcome.

Incorrect Answers

A:

Expected measures and row uniqueness verify the model.

B:

Live change observation verifies reuse.

C:

Join-key reconciliation validates semantics. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Existing keys update without duplication and new keys appear.

Question 372

Consider this Microsoft Fabric case: An Eventhouse receives many tiny ingestion batches and throughput is unstable. What measured result demonstrates that the requirement is satisfied?

  1. Throughput stabilizes while required freshness is met.
  2. 429 errors disappear and sustained throughput improves.
  3. Task durations even out while exact joins remain correct.
  4. Task count falls and total runtime improves.

Explanation

Correct Answer

A:

Both metrics validate balance. This observation directly tests the expected outcome.

Incorrect Answers

B:

Error frequency and overall rate confirm the fix.

C:

Balanced tasks and row parity verify mitigation.

D:

Task stats and correctness validate tuning.

Question 373

Eventhouse queries repeatedly investigate hot recent records with strict latency requirements. Which postchange result provides the strongest validation of success?

  1. Version tests pass after lower obsolete storage usage.
  2. Throughput stabilizes while required freshness is met.
  3. Controlled recent-data benchmarks show lower latency.
  4. Cached data scope shrinks while recent queries stay correct.

Explanation

Correct Answer

C:

Comparable latency and freshness prove benefit. This observation directly tests the expected outcome.

Incorrect Answers

A:

Recovery safety and capacity prove housekeeping.

B:

Both metrics validate balance. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Controlled recent-data benchmarks show lower latency.

D:

Policy and statistics verify efficiency.

Question 374

An Eventstream transformation fails when upstream publishers begin sending a differently nested JSON payload. What should the engineer check to confirm that the intended behavior was achieved?

  1. The logical plan resolves every intended column and sample output is correct.
  2. Old and new supported payload samples produce correctly mapped output columns.
  3. Queries return new columns correctly after synchronization and acceleration statistics restart normally.
  4. The revised query resolves and returns the intended status values.

Explanation

Correct Answer

B:

Schema-generation tests validate parsing. This observation directly tests the expected outcome.

Incorrect Answers

A:

Schema resolution and data validation confirm repair.

C:

Schema and cache state confirm recovery.

D:

Schema inspection and output correctness validate repair.

Question 375

Consider this Microsoft Fabric case: An event source can send duplicate messages after reconnecting, and the fact store must count each business event once. What measured result demonstrates that the requirement is satisfied?

  1. Replayed identical event IDs do not increase the distinct stored-event count.
  2. Transactions from both systems resolve to one approved dimension identity.
  3. Measures reconcile correctly when grouped by dimensions at the chosen grain.
  4. An intentionally delayed event within the allowed window enters its correct event-time aggregate.

Explanation

Correct Answer

A:

A deliberate duplicate replay tests exactly-once business effect. This observation directly tests the expected outcome.

Incorrect Answers

B:

Cross-source key convergence verifies the master mapping.

C:

Aggregation tests expose accidental mixed-grain duplicates.

D:

Delayed-event testing verifies temporal correctness.

Question 376

A copied file from yesterday has not arrived but today's unrelated pipeline runs are green. Which observation most directly verifies the intended outcome after the appropriate action?

  1. A known 45-minute run is flagged and a 35-minute run is not.
  2. The last successful refresh is recent and report measures reflect that timestamp.
  3. A failed scheduled run sends a notification to the expected recipient.
  4. The missing file causes a freshness alert despite other successful runs.

Explanation

Correct Answer

D:

Negative input testing validates the detection. This observation directly tests the expected outcome.

Incorrect Answers

A:

Both sides of the boundary verify the rule.

B:

Successful completion plus data recency confirms freshness.

C:

Recipient and trigger identity validate notification scope.

Question 377

Consider this Microsoft Fabric case: One telemetry feed must supply both a near-real-time KQL store and a compatible streaming output for further processing. What measured result demonstrates that the requirement is satisfied?

  1. One event is observed in each intended sink with consistent identifiers.
  2. Every sample event contributes to the intended single window.
  3. Malformed fixtures appear in the failure path and valid events reach the main sink.
  4. A new event appears promptly in the native KQL table and can be filtered.

Explanation

Correct Answer

A:

Cross-destination correspondence validates fan-out. This observation directly tests the expected outcome.

Incorrect Answers

B:

Boundary records confirm nonoverlapping grouping.

C:

Conservation across paths validates resilience.

D:

Native ingestion evidence verifies local queryability.

Question 378

Operations needs a notification when a real-time metric crosses a defined threshold. What should the engineer check to confirm that the intended behavior was achieved?

  1. A controlled threshold-crossing event produces the intended notification.
  2. A failed scheduled run sends a notification to the expected recipient.
  3. The slow request appears with its session and elapsed state during execution.
  4. Incoming-event or ingestion counters advance after a test event.

Explanation

Correct Answer

A:

An injected threshold case validates the alert. This observation directly tests the expected outcome.

Incorrect Answers

B:

Recipient and trigger identity validate notification scope.

C:

A live DMV record establishes the query-level bottleneck.

D:

Eventhouse-side counts validate reception. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: A controlled threshold-crossing event produces the intended notification.

Question 379

An engineer has tested changes to a Fabric pipeline in a Git-connected development workspace and wants those edits recorded in the remote branch. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The remote branch contains a new commit describing the changed pipeline definition.
  2. A project build produces the expected schema model and a reviewed deployment diff.
  3. The repository commit contains both item definitions and target deployment resolves their matching versions.
  4. The production comparison shows exactly the expected notebook and pipeline changes.

Explanation

Correct Answer

A:

The repository commit is evidence of persistence outside the workspace. This observation directly tests the expected outcome.

Incorrect Answers

B:

Successful build and intended object diff validate declarative schema change management.

C:

Complete dependency versioning and target validation prevent drift.

D:

A scoped stage diff is the deployment approval evidence.

Question 380

Consider this Microsoft Fabric case: An engineer wants to prevent sensitive data exposure but considers adding Deny roles in OneLake security. What measured result demonstrates that the requirement is satisfied?

  1. A member with target access reads data through the shortcut, while unprivileged attempts fail.
  2. Relevant role-change events identify the acting principal and change time.
  3. An analyst can select allowed columns but receives an authorization error for Salary.
  4. Security role inventory contains only intended Grant roles and unauthorized tests fail.

Explanation

Correct Answer

D:

Absence of grants plus denied access confirms the deny-by-default model. This observation directly tests the expected outcome.

Incorrect Answers

A:

End-to-end source authorization is necessary beyond the Fabric item share.

B:

The activity trace links permission modification to the responsible actor.

C:

Denied access to the protected column demonstrates enforcement.