Databricks Certified Data Engineer Professional Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose B0

  - Correct answer : B — A streaming table, because it processes each newly arrived record exactly once through incremental append-mode computation, matching the append-only source at low latency and cost. A . Materialized views recompute results as needed against the current state of the source, which is useful for changing or joined data but wastes compute reprocessing an append-only stream that never needs a full recalculation. B . A streaming table is the correct choice here because it maintains a streaming flow over an append-only source, so Lakeflow processes only the newly arrived clickstream files each micro-batch instead of recomputing history, which minimizes both latency and compute cost. C . Checkpoints are what let a streaming table track which records it already processed exactly once; disabling them would break incremental processing and force reprocessing, which is the opposite of the low-cost goal. D . Materialized views do not use continuous refresh to force full historical joins for ordering; continuous mode only controls how often the pipeline checks for new data, and this description misrepresents how materialized views compute results.