DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You are designing a data processing solution using Azure Databricks with Delta Live Tables (DLT). The solution must handle late-arriving data and ensure that updates to the delta table are processed exactly once. Which DLT pipeline setting should you configure?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the DLT pipeline with 'Delta Live Tables' and use 'APPLY CHANGES INTO' with a watermark.
DLT pipelines support exactly-once processing and handle late data via watermarking and append-only or update modes. Option A is wrong because 'Trigger once' processes data one time only, not continuous. Option B is wrong because 'Continuous' mode processes data as it arrives but may not guarantee exactly-once without proper configuration. Option C is wrong because 'File arrival' is not a DLT setting.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the pipeline mode to 'Trigger once'.
Why it's wrong here
Trigger once processes existing data, not late-arriving data.
- ✗
Set the pipeline mode to 'Continuous' and enable 'Exactly once' delivery.
Why it's wrong here
Continuous mode processes streaming data but 'Exactly once' is not a direct setting.
- ✗
Use Auto Loader with 'file arrival' mode.
Why it's wrong here
Auto Loader is an option in DLT, but 'file arrival' is not a pipeline setting.
- ✓
Configure the DLT pipeline with 'Delta Live Tables' and use 'APPLY CHANGES INTO' with a watermark.
Why this is correct
APPLY CHANGES INTO handles late-arriving data with exactly-once semantics.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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