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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 35

Question 340

A second lakehouse must query a shared Delta dataset as a registered table. Which postchange result provides the strongest validation of success?

  1. Committed versions show consistent data with no partial corrupt writes.
  2. Spark and SQL read matching registered Delta records.
  3. Each order has one retained row with the highest timestamp.
  4. The consumer lakehouse lists the registered shortcut table.

Explanation

Correct Answer

D:

Metadata registration plus row match verifies the mapping. This observation directly tests the expected outcome.

Incorrect Answers

A:

Transaction history and row checks demonstrate integrity.

B:

Both engines retrieving equivalent rows confirms cross-engine availability.

C:

Uniqueness and time checks validate selection.

Question 341

An external shortcut is visible but Spark cannot read its target. Which postchange result provides the strongest validation of success?

  1. A source-authorized account successfully reads the shortcut.
  2. Spark and SQL read matching registered Delta records.
  3. Every event_id occurs once and unique IDs remain.
  4. The curated Delta table reflects tested joins and rejected parse cases.

Explanation

Correct Answer

A:

End-to-end read confirms credential repair. This observation directly tests the expected outcome.

Incorrect Answers

B:

Both engines retrieving equivalent rows confirms cross-engine availability.

C:

A deliberate replay tests key uniqueness.

D:

Correct processed and rejected rows prove execution.

Question 342

A heavy data engineering notebook needs more executor memory than the workspace-wide pool configuration provides, without changing other teams' notebooks. Which postchange result provides the strongest validation of success?

  1. That notebook resolves its dedicated environment while other notebooks still resolve Workspace default.
  2. The notebook's Spark session reports the larger executor resources while unrelated jobs retain defaults.
  3. New sessions for each attached notebook import the pinned package version from the environment.
  4. The second notebook attaches to an existing session without launching another Spark application.

Explanation

Correct Answer

B:

Comparing session resources shows that isolation was preserved. This observation directly tests the expected outcome.

Incorrect Answers

A:

The different effective bindings prove configuration isolation.

C:

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 343

A warehouse developer accidentally gives an analytics contractor Contributor, allowing item edits when only a single SQL view should be readable. What should the engineer check to confirm that the intended behavior was achieved?

  1. An unauthorized identity cannot execute the procedure while authorized users can.
  2. The contractor queries the view but cannot modify items or read protected base objects.
  3. The intern can open permitted items but cannot create or edit workspace artifacts.
  4. Support queries show only the designated visible digits and obfuscated remaining content.

Explanation

Correct Answer

B:

A narrow success case and denied excess privileges validate corrected least privilege. This observation directly tests the expected outcome.

Incorrect Answers

A:

Execution tests under both identities verify the object permission boundary.

C:

Effective permissions validate read-only workspace membership.

D:

The result shape verifies the intended masking format.

Question 344

A long-running orchestration has repeated partial failures but operators need to identify the exact failed activity for targeted repair. Which postchange result provides the strongest validation of success?

  1. The activity input differs per iteration and matches the expected table names.
  2. Run history shows failed attempts followed by a successful retry within the configured limit.
  3. The failed step's recorded input, output and exception identify the cause.
  4. A failed copy launches compensation but skips cleanup; a successful copy launches cleanup.

Explanation

Correct Answer

C:

Specific activity diagnostics support targeted retries rather than blind restarts. This observation directly tests the expected outcome.

Incorrect Answers

A:

Run input values demonstrate correct expression evaluation.

B:

Attempt history distinguishes automatic retry from a separate manual run.

D:

Both outcome tests validate the branch predicates.

Question 345

A complex ingestion algorithm requires custom PySpark logic, stateful joins, and versioned Python packages. What should the engineer check to confirm that the intended behavior was achieved?

  1. Each environment's run uses its assigned destination without changing the pipeline definition.
  2. The dataflow refresh succeeds and destination tables contain the transformed rows.
  3. Run history shows the Copy and Notebook activity dependencies and correct failure path.
  4. The notebook produces the expected transformed Delta rows under the selected environment.

Explanation

Correct Answer

D:

Data validation and job execution prove that custom logic ran. This observation directly tests the expected outcome.

Incorrect Answers

A:

Effective endpoint evidence confirms safe promotion and parameter binding.

B:

Destination contents and refresh status validate both transformation and delivery.

C:

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

Question 346

A Fabric Warehouse query plan warns that an operation is non-scalable, and the engineer has confirmed that the query does not semantically require global sorting or other single-node execution. The engineer implements this change: after conventional query tuning, test OPTION (FORCE DISTRIBUTED PLAN) and compare the results and plan. Which observed result would provide the most direct evidence that the change achieved its intended goal?

  1. Plan estimates better approximate actual row counts.
  2. The table retains the new clustering-column metadata and a full reclustering operation has rewritten the affected files, improving selective file skipping.
  3. The optimized plan uses distributed operators rather than the previous avoidable single-node stage, with unchanged result rows.
  4. The plan joins fewer fact rows while results match.

Explanation

Correct Answer

C:

Plan topology and exact result equivalence demonstrate that distribution did not change the query meaning. It specifically confirms the result of this change: After conventional query tuning, test OPTION (FORCE DISTRIBUTED PLAN) and compare the results and plan.

Incorrect Answers

A:

Estimated-versus-actual data verifies impact. It does not establish the required result, which is: The optimized plan uses distributed operators rather than the previous avoidable single-node stage, with unchanged result rows.

B:

Both a recorded full recluster and a matching improved scan confirm the change was physically applied. It does not establish the required result, which is: The optimized plan uses distributed operators rather than the previous avoidable single-node stage, with unchanged result rows.

D:

Rows and output parity confirm optimization. It does not establish the required result, which is: The optimized plan uses distributed operators rather than the previous avoidable single-node stage, with unchanged result rows.

Question 347

A data team wants to refresh three independent data sources visually through Power Query transformations and write cleansed outputs without maintaining Python code. What should the engineer check to confirm that the intended behavior was achieved?

  1. The notebook produces the expected transformed Delta rows under the selected environment.
  2. The notebook starts after dataflow completion according to activity timestamps.
  3. The dataflow refresh succeeds and destination tables contain the transformed rows.
  4. The two notebook activity time intervals overlap during a successful run.

Explanation

Correct Answer

C:

Destination contents and refresh status validate both transformation and delivery. This observation directly tests the expected outcome.

Incorrect Answers

A:

Data validation and job execution prove that custom logic ran.

B:

Timestamp ordering validates the expected handoff.

D:

Overlap and shared prerequisite completion verify parallel scheduling.

Question 348

A KQL dashboard needs the complete latest observation per sensor, not only the maximum timestamp column. Which observation most directly verifies the intended outcome after the appropriate action?

  1. A value above the threshold is flagged while a value below is not.
  2. Temperature test events reach the destination and pressure events do not.
  3. The latest sensor row retains its related temperature and status fields.
  4. Old messages load with null new fields and recent messages populate them.

Explanation

Correct Answer

C:

Field consistency with the maximal timestamp validates row selection. This observation directly tests the expected outcome.

Incorrect Answers

A:

Boundary samples validate the predicate.

B:

Both included and excluded events validate the predicate.

D:

Both schema generations must succeed.

Question 349

Notebook startup times are high when users run lightweight concurrent transformations, but identities and Spark setups already match. 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. The attached environment exposes editable compute settings and the notebook uses the selected driver size.
  3. The notebook shows the selected existing session and begins execution without a new session allocation.
  4. A notebook using Workspace default resolves the centrally selected environment and its packages.

Explanation

Correct Answer

C:

Attachment to a reused session tests the intended interactive path. This observation directly tests the expected outcome.

Incorrect Answers

A:

Successful imports on fresh sessions show package governance is effective.

B:

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

D:

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

Question 350

The source emits explicit delete events and the target must stop exposing removed customer records. Which postchange result provides the strongest validation of success?

  1. The product key has one active row containing the updated description.
  2. Queries for dates before and after the change resolve to different dimension versions.
  3. A modified existing customer changes one target row without creating a duplicate customer.
  4. A deleted source key disappears from the active target after the change batch.

Explanation

Correct Answer

D:

The absence of a deleted key verifies CDC semantics. This observation directly tests the expected outcome.

Incorrect Answers

A:

Single-row current-state validation proves an overwrite rather than a history append.

B:

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

C:

Matched row identity and updated values prove correct upsert behavior.