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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 20

Question 190

A source adds nullable attributes during a staged rollout, and the target must retain old records while adopting the new fields. Which engineering decision is most suitable for this specific situation?

  1. Implement slowly changing dimension Type 2 versioned records with effective dates.
  2. Rebuild the current-state target from each complete snapshot with controlled overwrite.
  3. Use a timestamp watermark and MERGE changed records by stable customer key.
  4. Use a controlled schema-evolution load with explicit null defaults for older records.

Explanation

Correct Answer

D:

Schema evolution allows new fields without misaligning established rows.

Incorrect Answers

A:

Type 2 preserves previous attribute values by storing dated versions.

B:

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

C:

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

Question 191

A warehouse app downloads a million rows and then filters locally for a dashboard. What should the engineer implement first to satisfy the stated need?

  1. Push selective filters before the expensive join.
  2. Push WHERE and aggregate logic into the Warehouse SQL query.
  3. Select only the required columns.
  4. Push the filter before the groupBy shuffle.

Explanation

Correct Answer

B:

Server-side filtering reduces network and client load.

Incorrect Answers

A:

Earlier predicates reduce processed rows.

C:

Column projection reduces unnecessary scans and transfer.

D:

Earlier row reduction lowers shuffle volume.

Question 192

A KQL query scans months of telemetry to report the last fifteen minutes. What should the engineer implement first to satisfy the stated need?

  1. Apply supported liquid clustering on customer key.
  2. Push selective filters before the expensive join.
  3. Use a predicate on the physical partition column and preserve pruning.
  4. Apply the selective time predicate early.

Explanation

Correct Answer

D:

Early filtering reduces unnecessary scanning. The result addresses the requirement stated in this case.

Incorrect Answers

A:

Clustering improves locality without a directory for each value.

B:

Earlier predicates reduce processed rows.

C:

An eligible filter allows partition pruning.

Question 193

In a Microsoft Fabric solution, many Spark jobs start together and some remain queued despite having no code errors. Which configuration or implementation should the engineer choose?

  1. Inspect capacity concurrency and queueing before rewriting the notebooks.
  2. Pin a compatible package/runtime combination in the published environment.
  3. Reduce request concurrency or add bounded backoff retries to the source Copy logic.
  4. Inspect evaluated dynamic expressions and correct the runtime source path.

Explanation

Correct Answer

A:

Resource availability can delay execution independently of notebook correctness.

Incorrect Answers

B:

Runtime upgrades can change dependent library compatibility.

C:

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

D:

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

Question 194

A team deploys a lakehouse shortcut definition whose external target is Amazon S3; each stage should keep referencing the same source. Which action best addresses the requirement?

  1. Tag and retain the source Git commit used for the release before promoting.
  2. Deploy lakehouse metadata while treating table data as separately managed.
  3. Use a SQL database project containing the warehouse schema definitions.
  4. Retain the external shortcut target when promoting the lakehouse definition.

Explanation

Correct Answer

D:

External OneLake shortcut definitions keep their referenced external targets during supported deployment.

Incorrect Answers

A:

A known commit provides an immutable reference to the item definitions being deployed.

B:

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

C:

Database projects capture deployable SQL object definitions in source control.

Question 195

A project needs separate Development, Test, and Production workspaces with controlled promotion of Fabric item definitions. What should the engineer implement first to satisfy the stated need?

  1. Use environment-specific deployment configuration while keeping one versioned database project.
  2. Configure a Fabric deployment pipeline with stages assigned to the three workspaces.
  3. Tag and retain the source Git commit used for the release before promoting.
  4. Use deployment pipeline dependency mapping for internal shortcut references.

Explanation

Correct Answer

B:

Deployment pipelines promote supported Fabric items across staged workspaces.

Incorrect Answers

A:

Separating deployment settings from schema definitions maintains one canonical source model.

C:

A known commit provides an immutable reference to the item definitions being deployed.

D:

Internal shortcuts can be remapped to corresponding items across supported stages.

Question 196

A regulated lakehouse includes a folder of legal contracts that only a designated group may read through OneLake APIs. What should the engineer implement first to satisfy the stated need?

  1. Grant a path-scoped OneLake Read role to the legal group only.
  2. Review supported audit events for role and permission changes.
  3. Grant only the required permissions on that warehouse item.
  4. Reduce broad workspace access and rely on narrowly scoped item and data roles.

Explanation

Correct Answer

A:

Folder-level OneLake security can restrict access to specific file paths.

Incorrect Answers

B:

Audit logs provide available governance activity history for investigation.

C:

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

D:

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

Question 197

A remediation alert repeats every minute for the same unresolved ingestion incident, overwhelming on-call staff. Which action best addresses the requirement?

  1. Measure durations from recorded pipeline start and end timestamps and alert on the breached threshold.
  2. Inspect supported SQL dynamic management views for requests and sessions.
  3. Introduce suppression or deduplication of recurring alerts for the incident key where supported.
  4. Correlate stream diagnostics with source connection errors at the credential rotation time.

Explanation

Correct Answer

C:

Alert deduplication reduces repeat notifications without hiding a new incident.

Incorrect Answers

A:

Run durations support reliable SLO assessment.

B:

SQL DMVs expose active workload state needed for investigation.

D:

Connection failures may stop ingestion while item metadata remains present.

Question 198

Support wants operational alerts but must not include personal records from failed payloads in the notification. What should the engineer implement first to satisfy the stated need?

  1. Send sanitized diagnostic metadata rather than sensitive row contents.
  2. Set the schedule's failure-notification recipients.
  3. Read refresh error details rather than treating attempted refresh time as success.
  4. Inspect KQL query diagnostics or query statistics for representative runs.

Explanation

Correct Answer

A:

Alerts should contain sufficient identifiers without disclosing protected data.

Incorrect Answers

B:

Scheduled-run notifications report failures for that configured schedule.

C:

Refresh attempts and successful completion are separate events.

D:

Query metrics show performance beyond final row counts.

Question 199

In a Microsoft Fabric solution, facts need product category enrichment from a reference table. Which configuration or implementation should the engineer choose?

  1. Join facts to reference rows by stable product key.
  2. Add a missing-value quality flag and quarantine affected rows.
  3. Choose a Fabric Warehouse for the SQL-first model.
  4. Create a Tables shortcut to the source Delta table.

Explanation

Correct Answer

A:

Enrichment joins add trusted attributes from matching keys.

Incorrect Answers

B:

Explicit null handling preserves evidence without contaminating valid measures.

C:

Warehouse supports relational tables and T-SQL analytical workloads.

D:

A table shortcut exposes the referenced Delta data for queries.

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.