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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 14

Question 130

The same expensive Spark DataFrame is recomputed repeatedly by different downstream actions. What should the engineer implement first to satisfy the stated need?

  1. Cache or persist the reusable intermediate only when justified.
  2. Reduce acceleration cache period to the needed window.
  3. Filter by device and recent timestamp before heavy parsing.
  4. Inspect an estimated execution plan with supported SHOWPLAN tooling.

Explanation

Correct Answer

A:

Reuse can avoid repeated upstream transformations.

Incorrect Answers

B:

Cache policy limits how much external history is accelerated.

C:

Early KQL filtering reduces rows processed by expensive functions.

D:

Estimated plans show likely operators before full execution.

Question 131

An attacker has query access and can infer salary through repeated range predicates even though displayed values are masked. What should the engineer implement first to satisfy the stated need?

  1. Grant a OneLake security role with ReadWrite on that folder, with the required Read access.
  2. Grant UNMASK only to an approved privileged principal when the business case requires it.
  3. Restrict sensitive column access with permissions rather than treating masking as a security boundary.
  4. Reduce broad workspace access and rely on narrowly scoped item and data roles.

Explanation

Correct Answer

C:

Dynamic data masking alone does not prevent inference attacks through predicates.

Incorrect Answers

A:

Folder-scoped ReadWrite allows a reader to create and edit items inside the authorized data path.

B:

The UNMASK permission governs access to unmasked results separately from general SELECT.

D:

Workspace access can confer item-wide rights that undermine fine-grained data access goals.

Question 132

A trusted lakehouse dataset should be identified to coworkers as vetted by the data stewardship team. Which action best addresses the requirement?

  1. Apply the appropriate Fabric item endorsement such as Certified after governance review.
  2. Review the appropriate Microsoft Fabric audit events through the audit log experience.
  3. Apply the approved sensitivity label to the item.
  4. Apply column-level constraints in a read-only OneLake security role.

Explanation

Correct Answer

A:

Endorsement identifies trusted assets for discovery and is distinct from row-level permissions.

Incorrect Answers

B:

Audit records capture supported user and item activity for compliance analysis.

C:

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

D:

OneLake Read roles can constrain selected columns for the specified members.

Question 133

In a Microsoft Fabric solution, a billion-row table is partitioned by nearly unique invoice IDs and produces millions of file paths. Which configuration or implementation should the engineer choose?

  1. Run OPTIMIZE to apply the changed clustering definition.
  2. Tune shuffle partition count to match volume and resources.
  3. Move aggregation into distributed Spark expressions.
  4. Replace excessive partition cardinality with a sensible layout strategy.

Explanation

Correct Answer

D:

Overly fine partitioning increases metadata and small-file overhead.

Incorrect Answers

A:

Changing metadata alone does not physically reorganize existing files.

B:

Excess tiny tasks add scheduling overhead.

C:

Distributed aggregation avoids huge driver memory use.

Question 134

Eventhouse queries repeatedly investigate hot recent records with strict latency requirements. What should the engineer implement first to satisfy the stated need?

  1. Tune supported ingestion batching policy for the feed.
  2. Inspect an estimated execution plan with supported SHOWPLAN tooling.
  3. Tune supported caching and ingestion settings around the hot window.
  4. Reduce acceleration cache period to the needed window.

Explanation

Correct Answer

C:

Keeping active data efficient reduces cold reads.

Incorrect Answers

A:

Suitable batching balances ingest overhead with freshness.

B:

Estimated plans show likely operators before full execution.

D:

Cache policy limits how much external history is accelerated.

Question 135

A dashboard needs error counts by service for each five-minute window. Which action best addresses the requirement?

  1. Use KQL summarize count() by service and bin(timestamp, 5m).
  2. Parse files and write them to registered Delta tables.
  3. Use GROUP BY customer with HAVING COUNT condition.
  4. Use controlled parallel Copy branches or ForEach concurrency.

Explanation

Correct Answer

A:

Summarize and bin produce grouped time buckets.

Incorrect Answers

B:

Files storage is separate from registered lakehouse tables.

C:

HAVING filters groups after aggregation.

D:

Independent loads can overlap when source and sink throughput permit.

Question 136

A Fabric pipeline repeatedly retries an unrecoverable 403 permission error and wastes its execution window. Which action best addresses the requirement?

  1. Correct the dependency branch conditions for the required outcome.
  2. Attach and publish the environment containing the required compatible library.
  3. Define and provide the required pipeline parameter or safe default.
  4. Fix the required source or target authorization rather than increasing retry count.

Explanation

Correct Answer

D:

Permission denial is not resolved by more attempts without changing access.

Incorrect Answers

A:

A failure will not satisfy a success-only dependency in a pipeline graph.

B:

Notebook sessions resolve available libraries from their effective environment.

C:

Runtime parameters must exist with the names referenced by dynamic expressions.

Question 137

A team has ten weeks of nightly pipeline results and wants to detect increasing failure frequency. What should the engineer implement first to satisfy the stated need?

  1. Aggregate pipeline run outcomes by date and failure type.
  2. Open the pipeline run in the Fabric monitoring experience and inspect its activity runs.
  3. Set the schedule's failure-notification recipients.
  4. Add data-quality reconciliation metrics to the monitoring gate.

Explanation

Correct Answer

A:

Trend monitoring reveals recurrent errors not visible from a single run.

Incorrect Answers

B:

Activity-level monitoring identifies failing steps and their diagnostic output.

C:

Scheduled-run notifications report failures for that configured schedule.

D:

Transport success does not prove that transformed business totals are correct.

Question 138

In a Microsoft Fabric solution, a KQL feed needs the most recent heartbeat time for each device. Which configuration or implementation should the engineer choose?

  1. Use summarize max(timestamp) by device_id.
  2. Land the events in an Eventhouse KQL database.
  3. Use Dataflow Gen2 and a configured destination.
  4. Write T-SQL GROUP BY country with SUM(revenue).

Explanation

Correct Answer

A:

Group-wise max returns each device's latest time.

Incorrect Answers

B:

Eventhouse supports high-throughput time-series ingestion and KQL.

C:

It provides visual low-code Power Query transformations.

D:

SQL aggregation forms one group per country.

Question 139

In a Microsoft Fabric solution, a developer cannot choose a larger Spark driver for one expensive notebook because its environment Compute controls are disabled. Which configuration or implementation should the engineer choose?

  1. Review the workspace's current domain assignment in the Fabric domain settings.
  2. Enable notebook high-concurrency mode in the workspace Spark settings.
  3. Set the chosen published environment as the workspace default environment.
  4. Allow item-level compute customization in workspace Spark pool settings.

Explanation

Correct Answer

D:

An administrator must enable item-level overrides before an environment's pool and driver settings can be edited.

Incorrect Answers

A:

Inspecting the existing association identifies the correct scope before reassigning governance ownership.

B:

Compatible notebooks can attach to a running high-concurrency Spark session instead of starting separate sessions.

C:

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

Question 140

An Eventstream transformation fails when upstream publishers begin sending a differently nested JSON payload. What should the engineer implement first to satisfy the stated need?

  1. Update the column reference or apply an explicit rename mapping to the new schema.
  2. Update the KQL column reference or project a compatible alias.
  3. Update the event schema parsing and transformation expressions for the new structure.
  4. Disable the acceleration policy, update the external table schema, and re-enable when required.

Explanation

Correct Answer

C:

Transformations need field paths consistent with actual source messages.

Incorrect Answers

A:

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

B:

KQL queries must reference fields that exist in the current table schema.

D:

Breaking Delta schema changes require policy and external schema reconciliation.