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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 41

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.

Question 401

Consider this Microsoft Fabric case: Warehouse sales data needs revenue grouped by country. What measured result demonstrates that the requirement is satisfied?

  1. Each grouped result has unique keys and reconciled totals.
  2. The refresh populates the destination with cleaned known sample rows.
  3. Known country totals equal expected source sums.
  4. Known timestamp pairs show the expected duration.

Explanation

Correct Answer

C:

Measure reconciliation proves the result grain. This observation directly tests the expected outcome.

Incorrect Answers

A:

Expected measures and row uniqueness verify the model.

B:

Output reconciliation tests both transformation and load.

D:

Arithmetic tests confirm the derived column.

Question 402

Consider this Microsoft Fabric case: High-cardinality customer filtering is common but static customer partitions create tiny directories. What measured result demonstrates that the requirement is satisfied?

  1. Plan estimates better approximate actual row counts.
  2. Same target-device results are returned with less work.
  3. Task count falls and total runtime improves.
  4. Selective customer predicates skip more files.

Explanation

Correct Answer

D:

Pruning statistics verify the layout. This observation directly tests the expected outcome.

Incorrect Answers

A:

Estimated-versus-actual data verifies impact. That observation may be useful elsewhere, but it does not directly confirm the expected evidence in the case: Selective customer predicates skip more files.

B:

Scan diagnostics and output equality verify improvement.

C:

Task stats and correctness validate tuning.

Question 403

One source frequently throttles Copy operations but usually succeeds on a later attempt. Which observation most directly verifies the intended outcome after the appropriate action?

  1. Run history shows the Copy and Notebook activity dependencies and correct failure path.
  2. Run history shows failed attempts followed by a successful retry within the configured limit.
  3. A failed scheduled run sends the configured notification; a failed manual run does not use that schedule notification.
  4. A failed copy launches compensation but skips cleanup; a successful copy launches cleanup.

Explanation

Correct Answer

B:

Attempt history distinguishes automatic retry from a separate manual run. This observation directly tests the expected outcome.

Incorrect Answers

A:

Activity-level history confirms the designed control flow, not just that a notebook exists.

C:

The trigger-type difference and recipient evidence validate notification scope.

D:

Both outcome tests validate the branch predicates.

Question 404

A pipeline expression references a parameter absent from the invocation payload, causing an evaluation failure. Which observation most directly verifies the intended outcome after the appropriate action?

  1. The run's effective parameter values resolve before activities execute.
  2. Run inputs show the intended resolved path and the source file is found.
  3. Valid values convert exactly and invalid values are handled explicitly.
  4. The revised query resolves and returns the intended status values.

Explanation

Correct Answer

A:

Input inspection verifies the binding. This observation directly tests the expected outcome.

Incorrect Answers

B:

Effective path plus file discovery validates the correction.

C:

Boundary fixtures verify the correction.

D:

Schema inspection and output correctness validate repair.

Question 405

Consider this Microsoft Fabric case: An Eventhouse KQL query repeatedly reads large external Delta tables through OneLake shortcuts. What measured result demonstrates that the requirement is satisfied?

  1. Acceleration statistics show cached reads.
  2. Filtered scans read fewer irrelevant files.
  3. Controlled recent-data benchmarks show lower latency.
  4. Materialized counts match a raw reference query.

Explanation

Correct Answer

A:

Cache hits validate behavior. This observation directly tests the expected outcome.

Incorrect Answers

B:

Plan and scan metrics show benefit.

C:

Comparable latency and freshness prove benefit.

D:

Correctness and speed establish benefit.

Question 406

An operator wants to rerun the same pipeline using a different business date without modifying expressions. Which postchange result provides the strongest validation of success?

  1. Manual runs handle absent event fields gracefully while event-triggered runs resolve the file name.
  2. Two runs record distinct parameter values and produce corresponding date partitions.
  3. Runs at both times show the appropriate schedule and parameter payload.
  4. The initial and existing-file test runs execute different branches as designed.

Explanation

Correct Answer

B:

Input-to-partition agreement confirms repeatable parameterized execution. This observation directly tests the expected outcome.

Incorrect Answers

A:

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

C:

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

D:

Observed branch selection proves the condition is evaluated correctly.

Question 407

A team has ten weeks of nightly pipeline results and wants to detect increasing failure frequency. Which observation most directly verifies the intended outcome after the appropriate action?

  1. A failed scheduled run sends a notification to the expected recipient.
  2. Daily failed-run counts match the underlying records and show the trend.
  3. The missing file causes a freshness alert despite other successful runs.
  4. The failed activity record includes the expected failure message and execution time.

Explanation

Correct Answer

B:

Reproducible aggregation supports a reliability assessment. This observation directly tests the expected outcome.

Incorrect Answers

A:

Recipient and trigger identity validate notification scope.

C:

Negative input testing validates the detection.

D:

Detailed run evidence supports targeted repair.

Question 408

An engineer deploys a notebook with a Git reference to a shared library but forgets to commit the attached environment changes. What should the engineer check to confirm that the intended behavior was achieved?

  1. The repository contains versioned notebook definitions linked to the workspace and their commits can be reviewed.
  2. Target metadata shows the planned columns and constraints after deployment.
  3. The repository commit contains both item definitions and target deployment resolves their matching versions.
  4. The deployed notebook resolves its default lakehouse to the test target after deployment.

Explanation

Correct Answer

C:

Complete dependency versioning and target validation prevent drift. This observation directly tests the expected outcome.

Incorrect Answers

A:

Repository history validates version control rather than merely copying items.

B:

Catalog inspection verifies the actual schema rather than only a successful pipeline job.

D:

Inspecting the effective target binding verifies the override.

Question 409

Consider this Microsoft Fabric case: A project needs separate Development, Test, and Production workspaces with controlled promotion of Fabric item definitions. What measured result demonstrates that the requirement is satisfied?

  1. A deployment advances selected item definitions to the assigned Test workspace.
  2. Target metadata shows the planned columns and constraints after deployment.
  3. The Test shortcut points to the intended Test lakehouse rather than back to Development.
  4. The repository commit contains both item definitions and target deployment resolves their matching versions.

Explanation

Correct Answer

A:

A successful stage-to-stage definition promotion demonstrates the release route. This observation directly tests the expected outcome.

Incorrect Answers

B:

Catalog inspection verifies the actual schema rather than only a successful pipeline job.

C:

Target-reference inspection catches accidental cross-stage coupling.

D:

Complete dependency versioning and target validation prevent drift.

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.