McAfee-Secured Website

Exam Bundle

Exam Code: DP-700

Exam Name Implementing Data Engineering Solutions Using Microsoft Fabric

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Fabric Data Engineer Associate

Microsoft DP-700 Bundle $25.00
DP-700 Sample 1 DP-700 Sample 2 DP-700 Sample 3 DP-700 Sample 4 DP-700 Sample 5 DP-700 Sample 6 DP-700 Sample 7 DP-700 Sample 8 DP-700 Sample 9 DP-700 Sample 10

100% Microsoft DP-700 Guaranteed Success With Testking Training Materials

Get Real DP-700 Exam Questions & Expert Verified Answers as Experienced on the Real Exam!

  • Questions & Answers

    DP-700 Questions & Answers

    160 Questions & Answers

    The ultimate exam preparation tool, Questions & Answers mirrors the actual DP-700 exam while allowing you to hone and measure every aspect of your test-taking ability.

  • DP-700 Video Course

    DP-700 Video Course

    160 Video Lectures

    DP-700 Video Course is developed by Microsoft Professionals to help you pass the DP-700 exam.

    Description

    This course will improve your knowledge and skills required to pass Implementing Data Engineering Solutions Using Microsoft Fabric exam.

Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) Practice Tests

Satisfaction Guaranteed

Money Back Guarantee

Testking provides hassle-free money back guarantee with our products. That is because we have 100% trust in the abilities of our professional and experience product team, and our record is a proof of that.

99.6% PASS RATE
Total Cost: $164.98
Bundle Price: $139.98

Purchase Individually

  • Questions & Answers

    Questions & Answers

    160 Questions

    $124.99
  • DP-700 Video Course

    Video Course

    160 Video Lectures

    $39.99

Microsoft DP-700 Practice Test 5

Question 40

An Eventstream appears healthy but ingestion stopped shortly after a source connection rotated its credentials. Which engineering decision is most suitable for this specific situation?

  1. Compare run parameters, linked connection contexts, and activity outputs across environments.
  2. Correlate stream diagnostics with source connection errors at the credential rotation time.
  3. Configure an appropriate Fabric real-time alert through the supported alert experience.
  4. Check Eventhouse ingestion freshness and the dashboard query time range separately.

Explanation

Correct Answer

B:

Connection failures may stop ingestion while item metadata remains present.

Incorrect Answers

A:

Contextual run evidence isolates configuration drift.

C:

Alerts watch incoming query or event conditions without manually polling dashboards.

D:

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

Question 41

An Eventstream forwards irrelevant event types to an expensive destination. What should the engineer implement first to satisfy the stated need?

  1. Filter by device and recent timestamp before heavy parsing.
  2. Push the filter before the groupBy shuffle.
  3. Normalize compatible join-key data types.
  4. Filter unwanted types before the destination.

Explanation

Correct Answer

D:

Earlier stream filtering reduces unnecessary downstream traffic.

Incorrect Answers

A:

Early KQL filtering reduces rows processed by expensive functions.

B:

Earlier row reduction lowers shuffle volume.

C:

Conversions on join paths can increase query cost.

Question 42

One source frequently throttles Copy operations but usually succeeds on a later attempt. What should the engineer implement first to satisfy the stated need?

  1. Build a Fabric data pipeline with Copy and Notebook activities and failure handling.
  2. Invoke the reusable pipeline through an Execute Pipeline activity.
  3. Configure success and failure activity dependencies for the downstream branches.
  4. Set bounded retry settings and a retry interval for the Copy activity.

Explanation

Correct Answer

D:

Retries can recover transient throttling without resubmitting the entire pipeline manually.

Incorrect Answers

A:

Pipelines orchestrate multi-activity ingestion and dependent jobs.

B:

Child pipelines allow shared orchestration logic without cloning all activities.

C:

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

Question 43

In a Microsoft Fabric solution, an operator wants to rerun the same pipeline using a different business date without modifying expressions. Which configuration or implementation should the engineer choose?

  1. Create two schedules on the pipeline with their respective parameter values.
  2. Invoke the reusable pipeline through an Execute Pipeline activity.
  3. Expose the business date as a pipeline parameter and supply it at invocation.
  4. Build a Fabric data pipeline with Copy and Notebook activities and failure handling.

Explanation

Correct Answer

C:

A runtime parameter separates job logic from each run's effective processing date.

Incorrect Answers

A:

Multiple schedules can invoke the same pipeline with different times and supplied parameters.

B:

Child pipelines allow shared orchestration logic without cloning all activities.

D:

Pipelines orchestrate multi-activity ingestion and dependent jobs.

Question 44

Teams need revenue totals by quarter and business unit. Which engineering decision is most suitable for this specific situation?

  1. Group data by both dimensions at the declared reporting grain.
  2. Use Dataflow Gen2 and a configured destination.
  3. Partition data at a sensible date granularity for typical filters.
  4. Write T-SQL GROUP BY country with SUM(revenue).

Explanation

Correct Answer

A:

Composite grouping creates one aggregate per quarter-unit pair.

Incorrect Answers

B:

It provides visual low-code Power Query transformations.

C:

Appropriate partitioning enables pruning of irrelevant data files.

D:

SQL aggregation forms one group per country.

Question 45

In a Microsoft Fabric solution, a platform owner must manage every workspace setting and remove the workspace if the project ends. Which configuration or implementation should the engineer choose?

  1. Review supported audit events for role and permission changes.
  2. Assign the platform owner the Admin workspace role.
  3. Assign a managed Microsoft Entra group to the OneLake security role.
  4. Grant only the required permissions on that warehouse item.

Explanation

Correct Answer

B:

Admin is the role that includes full workspace permission administration and deletion.

Incorrect Answers

A:

Audit logs provide available governance activity history for investigation.

C:

OneLake security resolves supported Entra group membership for role grants.

D:

Item-level sharing can give access to a specific Fabric resource rather than broad workspace membership.

Question 46

In a Microsoft Fabric solution, a workload intermittently needs a different package and runtime from other workspace jobs, without changing the settings inherited by every other user. Which configuration or implementation should the engineer choose?

  1. Increase executor sizing in the shared workspace default environment used by every other notebook.
  2. Publish a Fabric environment with the common library and attach it to the notebooks.
  3. Attach a separate dedicated environment to that notebook.
  4. Align the published environment libraries used by both notebooks.

Explanation

Correct Answer

C:

An item-level environment isolates runtime and libraries for a specific notebook.

Incorrect Answers

A:

Changing shared executor defaults affects other workloads and does not isolate this notebook’s distinct package and runtime dependencies. A dedicated attached environment is the appropriate boundary.

B:

Environment items centrally define reusable libraries and Spark runtime settings.

D:

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

Question 47

A Dataflow destination should contain only records matching an approved whitelist of account categories. What should the engineer implement first to satisfy the stated need?

  1. Route good rows to curated storage and bad records to a quarantine sink.
  2. Filter categories in Power Query before writing to the curated destination.
  3. Configure the appropriate dataflow schema-drift destination settings.
  4. Create a pipeline Copy activity into the destination.

Explanation

Correct Answer

B:

A source-side logical filter prevents irrelevant rows reaching the output.

Incorrect Answers

A:

Separate validation branches retain evidence of invalid input.

C:

Dataflow Gen2 offers controlled destination schema updates.

D:

Copy handles scalable source-to-target data movement.

Question 48

In a Microsoft Fabric solution, an hourly ingest might be retried after an unknown network timeout and must not double-write the same invoices. Which configuration or implementation should the engineer choose?

  1. Apply delete change events to the target using the source's business keys.
  2. Write the batch with stable keys using idempotent MERGE semantics.
  3. Recompute or adjust affected aggregates using the changed underlying business keys.
  4. Use a timestamp watermark and MERGE changed records by stable customer key.

Explanation

Correct Answer

B:

Keyed merge can safely reprocess the same source changes.

Incorrect Answers

A:

Delete propagation is needed in addition to insert/update loading when the target mirrors current state.

C:

Corrections must flow into derived measures, not only the detail table.

D:

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

Question 49

A Delta workload has logically deleted rows retained in old physical files. What should the engineer implement first to satisfy the stated need?

  1. Use a predicate on the physical partition column and preserve pruning.
  2. Push WHERE and aggregate logic into the Warehouse SQL query.
  3. Schedule safe table maintenance respecting retention and rollback.
  4. Create an appropriate materialized view on the native table.

Explanation

Correct Answer

C:

Cleanup reclaims eligible old storage without corrupting retained versions.

Incorrect Answers

A:

An eligible filter allows partition pruning.

B:

Server-side filtering reduces network and client load.

D:

Precomputed aggregates reduce repeated full computations.

Question 50

A notebook's overall duration rises but it is unclear which cell or Spark stage is responsible. Which action best addresses the requirement?

  1. Inspect the dataflow refresh history and detailed step errors.
  2. Use notebook run history and Spark stage execution diagnostics.
  3. Read driver and executor logs from an unrelated notebook rather than the slow job’s individual stage timings.
  4. Compare queued and execution durations in pipeline run monitoring.

Explanation

Correct Answer

B:

Stage-level timing isolates expensive transformations within a notebook.

Incorrect Answers

A:

Refresh history identifies dataflow execution status and transformation failures.

C:

Unrelated notebook logs cannot establish which cell or Spark stage is lengthening this run. The keyed method inspects this notebook’s run history and per-stage execution diagnostics.

D:

Queue time and actual processing time represent different performance causes.