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Microsoft DP-700 Practice Test 14

Question 130

A data pipeline processes hundreds of partitions but must limit concurrent runs to protect the source. What should be designed?

  1. Use a conditional branch and a Fail activity for the rejected validation outcome.
  2. Invoke the child pipeline with its declared parameter values.
  3. Set the transform activity's success dependencies on both extraction activities.
  4. Control iteration concurrency and execution batching rather than launching every partition simultaneously.

Explanation

Correct Answer

D:

Bounded parallelism protects capacity and source throttling while retaining throughput for independent partitions. Monitor active partition count and source limits.

Incorrect Answers

A:

An explicit failure state prevents a bad batch from appearing successfully processed to downstream monitoring.

B:

Parameter passing makes reusable child pipelines context-aware without cloning their definition.

C:

Explicit dependencies prevent downstream work from consuming incomplete upstream outputs.

Question 131

A pipeline must abort if upstream validation returns a blocking error. Which action is most appropriate?

  1. Use a conditional branch and a Fail activity for the rejected validation outcome.
  2. Control iteration concurrency and execution batching rather than launching every partition simultaneously.
  3. Invoke the child pipeline with its declared parameter values.
  4. Configure a bounded retry policy with delay on the affected activity.

Explanation

Correct Answer

A:

An explicit failure state prevents a bad batch from appearing successfully processed to downstream monitoring. Trigger the invalid test case and inspect the final run status.

Incorrect Answers

B:

Bounded parallelism protects capacity and source throttling while retaining throughput for independent partitions.

C:

Parameter passing makes reusable child pipelines context-aware without cloning their definition.

D:

Transient errors can be retried safely when the operation and destination are idempotent; infinite immediate retries are unsafe.

Question 132

A team needs a reusable sequence of a copy and a notebook to run within larger workflows. What design reduces duplication?

  1. Configure a bounded retry policy with delay on the affected activity.
  2. Encapsulate the sequence in a parameterized child pipeline invoked from parent pipelines.
  3. Set the transform activity's success dependencies on both extraction activities.
  4. Use a conditional branch and a Fail activity for the rejected validation outcome.

Explanation

Correct Answer

B:

Child pipeline composition centralizes execution logic and supports reuse with different inputs. Modify the child in a test workspace and verify both parent workflows.

Incorrect Answers

A:

Transient errors can be retried safely when the operation and destination are idempotent; infinite immediate retries are unsafe.

C:

Explicit dependencies prevent downstream work from consuming incomplete upstream outputs.

D:

An explicit failure state prevents a bad batch from appearing successfully processed to downstream monitoring.

Question 133

A small reference table is fully replaced every month, and historical versions are not needed. Which load pattern is simplest?

  1. Load the complete source snapshot and replace the target table after validation.
  2. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  3. Make target writes idempotent by stable event identifier or transactional merge semantics.
  4. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.

Explanation

Correct Answer

A:

Full reload fits small bounded snapshots when historical source rows do not need to accumulate. Confirm target count matches the monthly snapshot.

Incorrect Answers

B:

Without a dependable change boundary, incremental logic can silently omit updates or deletions.

C:

A retry must produce the same logical target state as a single successful run, regardless of source rereads.

D:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities.

Question 134

A 600-million-row fact table receives only a few thousand new transactions daily. What reduces repeated extraction of unchanged history?

  1. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.
  2. Merge changed source records into the Delta target on the stable business key.
  3. Reconcile the authoritative full snapshot against target keys and remove records absent from it.
  4. Use an incremental load based on a reliable source change marker.

Explanation

Correct Answer

D:

Incremental extraction transfers changed rows rather than re-reading the entire fact history every run. Compare change-marker ranges and daily inserted row counts.

Incorrect Answers

A:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities.

B:

An upsert applies both inserts and updates; append-only ingestion would preserve outdated duplicates.

C:

A pure high-watermark append cannot infer deletes when the source does not publish deletion events.

Question 135

A source can revise old customer records as well as insert new customers. What target-write pattern preserves one current row per customer?

  1. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  2. Merge changed source records into the Delta target on the stable business key.
  3. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.
  4. Load the complete source snapshot and replace the target table after validation.

Explanation

Correct Answer

B:

An upsert applies both inserts and updates; append-only ingestion would preserve outdated duplicates. Test a changed existing customer and a new customer.

Incorrect Answers

A:

Without a dependable change boundary, incremental logic can silently omit updates or deletions.

C:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities.

D:

Full reload fits small bounded snapshots when historical source rows do not need to accumulate.

Question 136

A warehouse daily snapshot contains records deleted from the source, and the target must mirror the complete current population. Which approach can handle deletions deterministically?

  1. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.
  2. Use an incremental load based on a reliable source change marker.
  3. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  4. Reconcile the authoritative full snapshot against target keys and remove records absent from it.

Explanation

Correct Answer

D:

A pure high-watermark append cannot infer deletes when the source does not publish deletion events. Verify one deleted source key disappears from the target.

Incorrect Answers

A:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities.

B:

Incremental extraction transfers changed rows rather than re-reading the entire fact history every run.

C:

Without a dependable change boundary, incremental logic can silently omit updates or deletions.

Question 137

An upstream API's lastModified timestamp can be delayed and arrive out of order. Which incremental extraction boundary avoids missed revisions?

  1. Use an incremental load based on a reliable source change marker.
  2. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  3. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.
  4. Load the complete source snapshot and replace the target table after validation.

Explanation

Correct Answer

C:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities. Inject a delayed update and confirm it is applied once.

Incorrect Answers

A:

Incremental extraction transfers changed rows rather than re-reading the entire fact history every run.

B:

Without a dependable change boundary, incremental logic can silently omit updates or deletions.

D:

Full reload fits small bounded snapshots when historical source rows do not need to accumulate.

Question 138

A file-processing job might be retried after a timeout and must not duplicate business events. Which loading property is essential?

  1. Use an incremental load based on a reliable source change marker.
  2. Make target writes idempotent by stable event identifier or transactional merge semantics.
  3. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  4. Reconcile the authoritative full snapshot against target keys and remove records absent from it.

Explanation

Correct Answer

B:

A retry must produce the same logical target state as a single successful run, regardless of source rereads. Replay the same file twice and compare logical keys.

Incorrect Answers

A:

Incremental extraction transfers changed rows rather than re-reading the entire fact history every run.

C:

Without a dependable change boundary, incremental logic can silently omit updates or deletions.

D:

A pure high-watermark append cannot infer deletes when the source does not publish deletion events.

Question 139

A source offers no change tracking, primary key, or trustworthy update timestamp, yet the target needs an exact daily image. What load is most defensible?

  1. Use a bounded lookback window plus idempotent merge instead of a strict greater-than watermark alone.
  2. Make target writes idempotent by stable event identifier or transactional merge semantics.
  3. Use a validated full snapshot replacement until a reliable incremental change contract is available.
  4. Reconcile the authoritative full snapshot against target keys and remove records absent from it.

Explanation

Correct Answer

C:

Without a dependable change boundary, incremental logic can silently omit updates or deletions. Reconcile record counts and checksums after replacement.

Incorrect Answers

A:

A lookback re-reads potentially late updates while an idempotent target merge prevents duplicate committed entities.

B:

A retry must produce the same logical target state as a single successful run, regardless of source rereads.

D:

A pure high-watermark append cannot infer deletes when the source does not publish deletion events.

Question 140

A transactional database emits committed insert, update, and delete events. Which ingestion pattern retains those changes efficiently?

  1. Resume extraction from the last successful committed watermark rather than the wall-clock restart time.
  2. Apply changes using a reliable sequence or version column, rejecting stale mutations.
  3. Persist the high watermark only after the target batch successfully commits.
  4. Consume supported change data capture events and apply them with ordered upsert and delete semantics.

Explanation

Correct Answer

D:

CDC can represent all three mutation types; a max-ID-only extractor misses updates and deletes. Reconcile test insert, update, and delete sequences.

Incorrect Answers

A:

The persisted successful boundary anchors recovery and captures records created during downtime.

B:

Arrival order may differ from source commit order; version-aware application avoids overwriting newer state with older events.

C:

Advancing state before a failed write can permanently skip records on the next run.

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