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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 16

Question 150

A release lead must create Fabric items and share workspace items with collaborators but does not need to delete the workspace. Which engineering decision is most suitable for this specific situation?

  1. Apply the approved sensitivity label to the item.
  2. Assign a managed Microsoft Entra group to the OneLake security role.
  3. Maintain the specific item share rather than granting workspace Contributor.
  4. Assign the release lead the Member workspace role.

Explanation

Correct Answer

D:

Member includes item management and sharing without full Admin workspace deletion privileges.

Incorrect Answers

A:

Sensitivity labels classify and govern sensitive information independently of workspace membership.

B:

OneLake security resolves supported Entra group membership for role grants.

C:

Item access is narrower than workspace roles and avoids unnecessary creation and modification rights.

Question 151

In a Microsoft Fabric solution, a PySpark notebook dies while collecting an enormous DataFrame to the driver. Which configuration or implementation should the engineer choose?

  1. Rebind the notebook to the intended target-stage default lakehouse and resolve the path.
  2. Update the column reference or apply an explicit rename mapping to the new schema.
  3. Reduce request concurrency or add bounded backoff retries to the source Copy logic.
  4. Remove unnecessary collect() and use distributed transformations or bounded sampling.

Explanation

Correct Answer

D:

Moving all large data to the driver can exhaust memory and defeat distributed processing.

Incorrect Answers

A:

Notebook references depend on an effective lakehouse binding in each environment.

B:

A missing field name cannot be resolved by the Spark analyzer.

C:

Rate limiting requires pacing and retriable handling rather than unlimited parallel calls.

Question 152

A workspace should automatically supply the same governed Spark libraries to notebooks that choose Workspace default rather than an individual environment. Which engineering decision is most suitable for this specific situation?

  1. Configure a custom Apache Airflow pool under workspace Data Factory runtime settings and set it as the default.
  2. Set the experimental Spark property in that workload's published environment.
  3. Set the chosen published environment as the workspace default environment.
  4. Align the published environment libraries used by both notebooks.

Explanation

Correct Answer

C:

Workspace default can inherit a selected environment's compute and library configuration.

Incorrect Answers

A:

A custom Apache Airflow pool supports configurable resources and an always-on runtime, unlike the default starter pool that shuts down after inactivity.

B:

Environment-specific Spark properties can scope settings to an attached workload.

D:

High-concurrency sharing requires matching library packages, in addition to compatible compute and identities.

Question 153

A daily source delivers a complete replacement extract, including removals of records from the previous day. What should the engineer implement first to satisfy the stated need?

  1. Use a controlled schema-evolution load with explicit null defaults for older records.
  2. Rebuild the current-state target from each complete snapshot with controlled overwrite.
  3. Use a composite progress cursor such as modified time plus stable key or an inclusive merge boundary.
  4. Separate the current dimension representation from the historized change representation.

Explanation

Correct Answer

B:

A replacement snapshot represents the new complete state rather than append-only changes.

Incorrect Answers

A:

Schema evolution allows new fields without misaligning established rows.

C:

A tie-breaker avoids skipping rows that share the watermark's timestamp.

D:

Current-state and time-versioned structures serve different analytical queries.

Question 154

A KQL database queries a large external Delta table through a OneLake shortcut, and repeated queries suffer remote file read delays. Which action best addresses the requirement?

  1. Create an Eventstream route into an Eventhouse KQL table.
  2. Enable query acceleration on the shortcut when supported.
  3. Ingest events into an Eventhouse native table instead of querying only an external shortcut.
  4. Materialize required transformations into native KQL tables before applying update policies.

Explanation

Correct Answer

B:

Acceleration caches eligible external Delta data for faster KQL queries.

Incorrect Answers

A:

Eventstream can ingest and route streaming data to a KQL destination.

C:

Native Eventhouse ingestion supports indexed real-time analytics over event records.

D:

Accelerated external shortcuts do not support native-table update policies or materialized views.

Question 155

A Power Query combination is blocked by incompatible privacy isolation settings for its sources. Which engineering decision is most suitable for this specific situation?

  1. Review and configure approved source privacy levels and allowed combination behavior.
  2. Review the table retention policy and restore from retained source or archive where available.
  3. Pin a compatible package/runtime combination in the published environment.
  4. Reference a valid supported Delta table in Tables or use Files for arbitrary formats.

Explanation

Correct Answer

A:

Power Query privacy policies can restrict how data from separate sources is combined.

Incorrect Answers

B:

A retention policy governs how long native ingested records remain available.

C:

Runtime upgrades can change dependent library compatibility.

D:

Tables shortcuts require supported tabular data; Files shortcuts can expose non-Delta files.

Question 156

Spark join data exhibits runtime skew and adaptive execution is available. Which engineering decision is most suitable for this specific situation?

  1. Normalize compatible join-key data types.
  2. Push selective filters before the expensive join.
  3. Use a suitable broadcast join.
  4. Enable appropriate adaptive skew-join handling.

Explanation

Correct Answer

D:

Adaptive execution can reshape plans based on runtime partitions.

Incorrect Answers

A:

Conversions on join paths can increase query cost.

B:

Earlier predicates reduce processed rows.

C:

Broadcasting small lookup data can avoid shuffling the large fact.

Question 157

In a Microsoft Fabric solution, a pipeline must inspect whether a file exists and choose either initial load or incremental processing. Which configuration or implementation should the engineer choose?

  1. Use Lookup followed by ForEach with each item passed to the child activity.
  2. Invoke the reusable pipeline through an Execute Pipeline activity.
  3. Place the dataflow activity upstream of the notebook in the pipeline dependency graph.
  4. Use a metadata inspection activity and If Condition branching.

Explanation

Correct Answer

D:

Conditional pipeline control chooses different activities based on source state.

Incorrect Answers

A:

ForEach iterates over a list generated by an upstream activity.

B:

Child pipelines allow shared orchestration logic without cloning all activities.

C:

Explicit dependencies prevent processing before upstream dataflow completion.

Question 158

In a Microsoft Fabric solution, warehouse cardinality estimates are wrong after large data changes. Which configuration or implementation should the engineer choose?

  1. Push selective filters before the expensive join.
  2. Refresh or correct relevant optimizer statistics.
  3. Reduce the filtered set before a necessary global sort.
  4. Apply supported liquid clustering on customer key.

Explanation

Correct Answer

B:

Statistics influence SQL optimization decisions.

Incorrect Answers

A:

Earlier predicates reduce processed rows.

C:

Global sorting can trigger non-scalable processing.

D:

Clustering improves locality without a directory for each value.

Question 159

In a Microsoft Fabric solution, a pipeline needs to poll a service until a job reaches Succeeded, with a maximum wait interval. Which configuration or implementation should the engineer choose?

  1. Define pipeline parameters and reference them with dynamic content expressions.
  2. Configure success and failure activity dependencies for the downstream branches.
  3. Use an Until loop with a bounded timeout and explicit success predicate.
  4. Configure failure notifications on the scheduled pipeline run.

Explanation

Correct Answer

C:

Until can repeat an activity until the condition is true or its configured limit is reached.

Incorrect Answers

A:

Parameters make the same pipeline definition reusable with different runtime values.

B:

Activity dependency conditions explicitly control which path runs after an outcome.

D:

Scheduled pipelines support configured failure notifications distinct from manual invocation.

Question 160

In a Microsoft Fabric solution, a copied file from yesterday has not arrived but today's unrelated pipeline runs are green. Which configuration or implementation should the engineer choose?

  1. Inspect Eventstream run metrics and destination-specific health.
  2. Measure durations from recorded pipeline start and end timestamps and alert on the breached threshold.
  3. Monitor the expected source arrival or transfer event for the specific file.
  4. Check Eventhouse ingestion freshness and the dashboard query time range separately.

Explanation

Correct Answer

C:

A targeted freshness condition detects missing inputs independently of other job success.

Incorrect Answers

A:

Stream-level monitoring can reveal throughput and routing failures.

B:

Run durations support reliable SLO assessment.

D:

A stale visualization may result from query filtering rather than ingestion failure.