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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 10

Question 90

In a Microsoft Fabric solution, a support engineer can view a masked identifier but has no explicit permission to see unmasked PII values. Which configuration or implementation should the engineer choose?

  1. Remove excess workspace membership and grant limited access to the approved view.
  2. Use explicit grant-role scopes and omit unauthorized members; do not design unsupported Deny roles.
  3. Restrict sensitive column access with permissions rather than treating masking as a security boundary.
  4. Grant UNMASK only to an approved privileged principal when the business case requires it.

Explanation

Correct Answer

D:

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

Incorrect Answers

A:

A specific SQL object grant limits reach more safely than a broad workspace authoring role.

B:

OneLake security supports Grant roles rather than a separate Deny role type.

C:

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

Question 91

A group-level OneLake security membership change has just been made, but some users still appear to have their previous access. Which action best addresses the requirement?

  1. Review supported audit events for role and permission changes.
  2. Maintain the specific item share rather than granting workspace Contributor.
  3. Allow for supported membership propagation and then retest affected engines.
  4. Check external collaboration and guest-access configuration in Microsoft Entra.

Explanation

Correct Answer

C:

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

Incorrect Answers

A:

Audit logs provide available governance activity history for investigation.

B:

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

D:

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

Question 92

An Eventhouse ingestion table should normalize incoming payload fields before analysts query them. Which engineering decision is most suitable for this specific situation?

  1. Use deduplication keyed on event ID within a defined streaming state policy.
  2. Record both event timestamp and ingestion timestamp and compare their lag.
  3. Define a KQL update policy to transform ingestion into a target native table.
  4. Ingest events into an Eventhouse native table instead of querying only an external shortcut.

Explanation

Correct Answer

C:

Update policies can transform or route data at ingestion to suitable native destinations.

Incorrect Answers

A:

Keyed streaming deduplication limits duplicate business contributions.

B:

Tracking both times reveals transport delay independently of source behavior.

D:

Native Eventhouse ingestion supports indexed real-time analytics over event records.

Question 93

An analytics team needs the same third-party Python library version in dozens of notebooks without maintaining installation cells in every notebook. What should the engineer implement first to satisfy the stated need?

  1. Align the published environment libraries used by both notebooks.
  2. Publish a Fabric environment with the common library and attach it to the notebooks.
  3. Configure executor sizing in a dedicated environment attached only to that notebook.
  4. Publish the environment and restart the notebook's Spark session to pick up changes.

Explanation

Correct Answer

B:

Environment items centrally define reusable libraries and Spark runtime settings.

Incorrect Answers

A:

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

C:

A workload-specific environment can override compute sizes when the workspace permits customization.

D:

Environment edits must be published and a new session must load the updated settings.

Question 94

In a Microsoft Fabric solution, a Delta target must update existing orders and insert unseen orders from staging. Which configuration or implementation should the engineer choose?

  1. Create a Tables shortcut to the source Delta table.
  2. Use Delta MERGE keyed by order ID.
  3. Apply Power Query Merge on the selected customer key.
  4. Use ROW_NUMBER partitioned by order_id ordered newest first.

Explanation

Correct Answer

B:

MERGE handles matched updates and unmatched inserts.

Incorrect Answers

A:

A table shortcut exposes the referenced Delta data for queries.

C:

Merge combines records according to its join condition.

D:

Ranking selects the latest version per business key.

Question 95

KQL telemetry contains nested dynamic payloads and the query needs a scalar device temperature. What should the engineer implement first to satisfy the stated need?

  1. Add an Eventstream filter on event type before the destination.
  2. Design schema-compatible parsing with a nullable representation for the new field.
  3. Apply a stream filter or derived boolean expression on the temperature field.
  4. Extract and cast the dynamic field to the required scalar type in KQL.

Explanation

Correct Answer

D:

KQL dynamic fields need explicit field access and conversion for numeric operations.

Incorrect Answers

A:

Eventstream transformations can route selected records according to event attributes.

B:

Optional-column handling avoids discarding earlier event formats.

C:

Stream transformations can identify records meeting numerical conditions.

Question 96

A Warehouse report groups orders by business date and sales channel. What should the engineer implement first to satisfy the stated need?

  1. Partition data at a sensible date granularity for typical filters.
  2. Specify an explicit schema and bad-date handling for ingest.
  3. Use T-SQL grouped aggregation on derived date and channel.
  4. Convert values to numeric before KQL avg aggregation.

Explanation

Correct Answer

C:

The composite group defines the target output grain.

Incorrect Answers

A:

Appropriate partitioning enables pruning of irrelevant data files.

B:

Explicit parsing controls data types and malformed values.

D:

Numerical aggregation requires numeric typed input.

Question 97

Spark joins are slow because one customer key dominates one partition. Which action best addresses the requirement?

  1. Normalize compatible join-key data types.
  2. Use a skew-aware join plan or carefully designed salting.
  3. Use a suitable broadcast join.
  4. Use a predicate on the physical partition column and preserve pruning.

Explanation

Correct Answer

B:

Redistribution prevents one worker from becoming a straggler.

Incorrect Answers

A:

Conversions on join paths can increase query cost.

C:

Broadcasting small lookup data can avoid shuffling the large fact.

D:

An eligible filter allows partition pruning.

Question 98

Compliance investigators must determine which identities performed auditable activities in a Fabric workspace over a date range. What should the engineer implement first to satisfy the stated need?

  1. Assign a managed Microsoft Entra group to the OneLake security role.
  2. Check external collaboration and guest-access configuration in Microsoft Entra.
  3. Apply the appropriate Fabric item endorsement such as Certified after governance review.
  4. Review the appropriate Microsoft Fabric audit events through the audit log experience.

Explanation

Correct Answer

D:

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

Incorrect Answers

A:

OneLake security resolves supported Entra group membership for role grants.

B:

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

C:

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

Question 99

Copy ingestion has many independent source partitions but the pipeline reads one at a time. Which action best addresses the requirement?

  1. Tune shuffle partition count to match volume and resources.
  2. Configure supported partitioned source reads and controlled parallelism.
  3. Tune supported ingestion batching policy for the feed.
  4. Apply supported liquid clustering on customer key.

Explanation

Correct Answer

B:

Parallel partition reads can improve throughput if the source supports them.

Incorrect Answers

A:

Excess tiny tasks add scheduling overhead.

C:

Suitable batching balances ingest overhead with freshness.

D:

Clustering improves locality without a directory for each value.

Question 100

Power Query transformations in Dataflow Gen2 prevent an eligible SQL source filter from folding. What should the engineer implement first to satisfy the stated need?

  1. Enable supported query acceleration.
  2. Tune supported ingestion batching policy for the feed.
  3. Reorder supported steps to preserve query folding.
  4. Adopt supported declarative liquid clustering.

Explanation

Correct Answer

C:

Folding pushes selective work into the source. The result addresses the requirement stated in this case.

Incorrect Answers

A:

Acceleration caches eligible external data for faster KQL queries.

B:

Suitable batching balances ingest overhead with freshness.

D:

Liquid clustering persists chosen columns in table metadata.