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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 21

Question 200

An upstream application writes a new file unpredictably; analytics must start only when a matching file-arrival event occurs. Which engineering decision is most suitable for this specific situation?

  1. Configure the fact load with dependencies on both dimension-load completion paths.
  2. Use null-safe optional chaining when referencing event-only trigger fields.
  3. Configure an event-based trigger filtered to the required source path and file type.
  4. Use Lookup followed by ForEach with each item passed to the child activity.

Explanation

Correct Answer

C:

Storage event triggers respond to events rather than a fixed clock schedule.

Incorrect Answers

A:

A join dependency ensures all required upstream activity results exist first.

B:

Manual invocations may lack TriggerEvent values, so defensive expressions avoid failures during testing.

D:

ForEach iterates over a list generated by an upstream activity.

Question 201

A pipeline expression references a parameter absent from the invocation payload, causing an evaluation failure. What should the engineer implement first to satisfy the stated need?

  1. Fix the required source or target authorization rather than increasing retry count.
  2. Define and provide the required pipeline parameter or safe default.
  3. Correct the dependency branch conditions for the required outcome.
  4. Inspect evaluated dynamic expressions and correct the runtime source path.

Explanation

Correct Answer

B:

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

Incorrect Answers

A:

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

C:

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

D:

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

Question 202

A sensitive Fabric item is intended for one regulated workgroup, but users are inadvertently granted access through a broad workspace role. Which engineering decision is most suitable for this specific situation?

  1. Reduce broad workspace access and rely on narrowly scoped item and data roles.
  2. Maintain the specific item share rather than granting workspace Contributor.
  3. Inspect the item's default reader security role before adding more grants.
  4. Check external collaboration and guest-access configuration in Microsoft Entra.

Explanation

Correct Answer

A:

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

Incorrect Answers

B:

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

C:

Fabric can create a default reader role for users with ReadAll, so effective data access may come from defaults.

D:

Guest identity settings can prevent OneLake role grants from being applied as expected.

Question 203

In a Microsoft Fabric solution, a warehouse receives late corrections to transactions that were already aggregated into daily reports. Which configuration or implementation should the engineer choose?

  1. Apply delete change events to the target using the source's business keys.
  2. Partition and aggregate by business event date, while tracking arrival time separately.
  3. Recompute or adjust affected aggregates using the changed underlying business keys.
  4. Route rows with missing mandatory business keys to a quarantine table.

Explanation

Correct Answer

C:

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

Incorrect Answers

A:

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

B:

Event-time classification prevents late ingestion from shifting historical business totals.

D:

Quarantine preserves invalid input for review without corrupting deduplication.

Question 204

An Eventstream input connection stops producing data shortly after access secrets expire. Which action best addresses the requirement?

  1. Renew the shortcut's external connection credentials without recreating its logical target.
  2. Refresh the source connection's authorized credentials and rerun the Copy activity.
  3. Restore gateway availability or select a valid supported gateway connection.
  4. Renew the supported source connection authentication and confirm the stream is running.

Explanation

Correct Answer

D:

Expired credentials break source ingestion before downstream transformations execute.

Incorrect Answers

A:

A shortcut depends on valid credentials to access external objects.

B:

Authentication failure occurs before data transfer when credentials are no longer valid.

C:

A gateway-dependent source requires an operational gateway path.

Question 205

An engineering team must copy terabytes from a supported source, invoke a notebook, and notify an operator on failure. Which action best addresses the requirement?

  1. Place both notebook activities on parallel branches after the staging success dependency.
  2. Place the dataflow activity upstream of the notebook in the pipeline dependency graph.
  3. Configure failure notifications on the scheduled pipeline run.
  4. Build a Fabric data pipeline with Copy and Notebook activities and failure handling.

Explanation

Correct Answer

D:

Pipelines orchestrate multi-activity ingestion and dependent jobs.

Incorrect Answers

A:

Parallel branches enable independent work once common prerequisites are met.

B:

Explicit dependencies prevent processing before upstream dataflow completion.

C:

Scheduled pipelines support configured failure notifications distinct from manual invocation.

Question 206

In a Microsoft Fabric solution, an invoice feed includes repeated line numbers with different transaction identifiers; deduplication by line number alone loses valid data. Which configuration or implementation should the engineer choose?

  1. Map source business identities to a managed surrogate key in the conformed customer dimension.
  2. Apply delete change events to the target using the source's business keys.
  3. Deduplicate using the complete business key of transaction ID and line number.
  4. Re-read a bounded overlap window and deduplicate or merge by business key.

Explanation

Correct Answer

C:

A composite key matches the actual record identity rather than a locally repeated attribute.

Incorrect Answers

A:

A surrogate key unifies business entities without depending on mutable external IDs.

B:

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

D:

An overlap interval guards against delayed visibility without duplicating accepted data.

Question 207

A KQL query returns no older telemetry because the relevant native table's retention period has already elapsed. What should the engineer implement first to satisfy the stated need?

  1. Review and configure approved source privacy levels and allowed combination behavior.
  2. Disable the acceleration policy, update the external table schema, and re-enable when required.
  3. Reference a valid supported Delta table in Tables or use Files for arbitrary formats.
  4. Review the table retention policy and restore from retained source or archive where available.

Explanation

Correct Answer

D:

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

Incorrect Answers

A:

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

B:

Breaking Delta schema changes require policy and external schema reconciliation.

C:

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

Question 208

In a Microsoft Fabric solution, an engineer needs to promote a reviewed warehouse table definition without manually recreating columns in every environment. Which configuration or implementation should the engineer choose?

  1. Update the Git-connected workspace from the repository branch.
  2. Deploy the reviewed database project to the target warehouse.
  3. Deploy lakehouse metadata while treating table data as separately managed.
  4. Commit the environment configuration and notebook changes together when both are supported.

Explanation

Correct Answer

B:

A database project deployment applies the versioned SQL schema to the destination.

Incorrect Answers

A:

Git update applies incoming committed definitions to the connected workspace.

C:

Lakehouse deployment and Git operations track metadata and definitions, not lakehouse table contents.

D:

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

Question 209

The source emits explicit delete events and the target must stop exposing removed customer records. Which action best addresses the requirement?

  1. Route rows with missing mandatory business keys to a quarantine table.
  2. Apply delete change events to the target using the source's business keys.
  3. Deduplicate using the complete business key of transaction ID and line number.
  4. Recompute or adjust affected aggregates using the changed underlying business keys.

Explanation

Correct Answer

B:

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

Incorrect Answers

A:

Quarantine preserves invalid input for review without corrupting deduplication.

C:

A composite key matches the actual record identity rather than a locally repeated attribute.

D:

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

Question 210

In a Microsoft Fabric solution, a fraud detector wants ten-minute windows that refresh every two minutes. Which configuration or implementation should the engineer choose?

  1. Use summarize count() by application and bin(timestamp, 1m).
  2. Use a hopping window with ten-minute size and two-minute hop.
  3. Use a tumbling window aggregation of five minutes.
  4. Apply an event-time watermark that covers the accepted lateness policy.

Explanation

Correct Answer

B:

Hopping windows overlap to give rolling aggregates at regular steps.

Incorrect Answers

A:

KQL bin defines discrete time buckets for grouping.

C:

Tumbling windows partition time into consecutive nonoverlapping intervals.

D:

Watermarks bound the amount of late data retained in streaming state.