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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 17

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.

Question 161

An engineer has tested changes to a Fabric pipeline in a Git-connected development workspace and wants those edits recorded in the remote branch. What should the engineer implement first to satisfy the stated need?

  1. Configure an appropriate notebook deployment rule on the target stage.
  2. Commit the changed workspace items through the Fabric Git integration.
  3. Use a SQL database project containing the warehouse schema definitions.
  4. Commit the environment configuration and notebook changes together when both are supported.

Explanation

Correct Answer

B:

A workspace-to-Git commit records supported item definition changes in the connected repository.

Incorrect Answers

A:

Target-stage deployment rules can override notebook bindings such as the default lakehouse.

C:

Database projects capture deployable SQL object definitions in source control.

D:

Co-versioning dependencies avoids deploying code without required runtime configuration.

Question 162

In a Microsoft Fabric solution, copy tasks for unrelated sources are serial even though both can run safely together. Which configuration or implementation should the engineer choose?

  1. Schedule safe table maintenance respecting retention and rollback.
  2. Parallelize independent pipeline branches within connector limits.
  3. Tune shuffle partition count to match volume and resources.
  4. Investigate supported FORCE DISTRIBUTED PLAN after ordinary tuning.

Explanation

Correct Answer

B:

Safe concurrency can shorten end-to-end loading.

Incorrect Answers

A:

Cleanup reclaims eligible old storage without corrupting retained versions.

C:

Excess tiny tasks add scheduling overhead.

D:

A distributed hint may change plan topology for eligible queries.

Question 163

A security architect wants to combine OneLake write access and table row-level filtering in one OneLake security role for the same user, but the role editor does not offer row-level constraints with ReadWrite. Which single implementation most directly meets the stated requirement?

  1. Allow for supported membership propagation and then retest affected engines.
  2. Separate writer identities from read-only constrained identities, and apply RLS in a OneLake Read-only role.
  3. Provide a valid connection and source-side permissions for the external shortcut.
  4. Assign a managed Microsoft Entra group to the OneLake security role.

Explanation

Correct Answer

B:

OneLake ReadWrite roles cannot include row-level or column-level constraints, and adding an unrestricted writer grant to the same principal would undercut that principal's row restrictions. The direct validation would be: The read-only principal sees only the permitted rows, while the separate writer principal has its intended ReadWrite role without an RLS or CLS rule.

Incorrect Answers

A:

OneLake role membership changes may take time to propagate through identity and engine caches.

C:

The target storage system and shortcut credentials must authorize the requested read.

D:

OneLake security resolves supported Entra group membership for role grants.

Question 164

In a Microsoft Fabric solution, a pipeline Copy activity fails because its dynamically constructed file path resolves to an absent folder. Which configuration or implementation should the engineer choose?

  1. Inspect evaluated dynamic expressions and correct the runtime source path.
  2. Correct the dependency branch conditions for the required outcome.
  3. Correct the Copy mapping and type conversions for the affected columns.
  4. Correct the event subject filter to match the actual file path and event type.

Explanation

Correct Answer

A:

A wrong path can fail even when the connection itself is valid.

Incorrect Answers

B:

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

C:

Data type mismatch occurs at mapping or insert even when connectivity succeeds.

D:

Event-based triggers fire only for events satisfying configured matching conditions.

Question 165

In a Microsoft Fabric solution, a Dataflow Gen2 source adds a nullable field and the destination needs compatible schema evolution. Which configuration or implementation should the engineer choose?

  1. Specify an explicit schema and bad-date handling for ingest.
  2. Use Dataflow Gen2 and a configured destination.
  3. Configure the appropriate dataflow schema-drift destination settings.
  4. Use a supported pipeline or Dataflow connector with explicit XML mapping.

Explanation

Correct Answer

C:

Dataflow Gen2 offers controlled destination schema updates.

Incorrect Answers

A:

Explicit parsing controls data types and malformed values.

B:

It provides visual low-code Power Query transformations.

D:

Structured-file ingestion requires appropriate parsing rules.

Question 166

A factory reports production units in fixed nonoverlapping five-minute reporting windows. What should the engineer implement first to satisfy the stated need?

  1. Use summarize count() by application and bin(timestamp, 1m).
  2. Use a tumbling window aggregation of five minutes.
  3. Use a hopping window with ten-minute size and two-minute hop.
  4. Create a suitable KQL materialized view for the frequently reused aggregation.

Explanation

Correct Answer

B:

Tumbling windows partition time into consecutive nonoverlapping intervals.

Incorrect Answers

A:

KQL bin defines discrete time buckets for grouping.

C:

Hopping windows overlap to give rolling aggregates at regular steps.

D:

Materialized views maintain precomputed results for supported KQL aggregation patterns.

Question 167

A CRM source permits updates to historical customer records and exposes a last-modified timestamp. Which action best addresses the requirement?

  1. Perform an initial full load of the source records.
  2. Commit the watermark only after the target batch has completed successfully.
  3. Implement slowly changing dimension Type 2 versioned records with effective dates.
  4. Use a timestamp watermark and MERGE changed records by stable customer key.

Explanation

Correct Answer

D:

Timestamp-based detection with key-based merge handles updates as well as inserts.

Incorrect Answers

A:

A full load establishes all existing rows before incremental processing can track changes.

B:

Separating checkpoint advancement from incomplete writes prevents silent data loss.

C:

Type 2 preserves previous attribute values by storing dated versions.

Question 168

In a Microsoft Fabric solution, fact transactions arrive before the corresponding customer dimension has been mastered. Which configuration or implementation should the engineer choose?

  1. Implement slowly changing dimension Type 2 versioned records with effective dates.
  2. Load rows above the persisted high-water transaction ID and advance the watermark after success.
  3. Implement a Type 1 overwrite of the matching dimension attribute.
  4. Assign a controlled unknown or inferred dimension member until the dimension becomes available.

Explanation

Correct Answer

D:

An unknown or inferred member preserves fact referential integrity for late dimensions.

Incorrect Answers

A:

Type 2 preserves previous attribute values by storing dated versions.

B:

A durable high-water mark limits later loads to unseen append-only records.

C:

Type 1 changes the current value rather than preserving superseded versions.

Question 169

Dataflow Gen2 treats monetary values as strings and downstream sums fail. What should the engineer implement first to satisfy the stated need?

  1. Specify an explicit schema and bad-date handling for ingest.
  2. Configure the appropriate dataflow schema-drift destination settings.
  3. Set an explicit decimal or numeric type in Power Query.
  4. Convert values to numeric before KQL avg aggregation.

Explanation

Correct Answer

C:

Explicit typing avoids text arithmetic and unstable inference.

Incorrect Answers

A:

Explicit parsing controls data types and malformed values.

B:

Dataflow Gen2 offers controlled destination schema updates.

D:

Numerical aggregation requires numeric typed input.

Question 170

A notebook raises ModuleNotFoundError for a package that works in another team workspace. What should the engineer implement first to satisfy the stated need?

  1. Attach and publish the environment containing the required compatible library.
  2. Fix the required source or target authorization rather than increasing retry count.
  3. Preserve the required precision by selecting an appropriate compatible sink numeric type.
  4. Rebind the notebook to the intended target-stage default lakehouse and resolve the path.

Explanation

Correct Answer

A:

Notebook sessions resolve available libraries from their effective environment.

Incorrect Answers

B:

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

C:

Narrow integer types cannot represent decimal input without loss or failure.

D:

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