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DP-203 Practice Question: Drag and drop the steps to implement Slowly…
Drag and drop the steps to implement Slowly Changing Dimension (SCD) Type 2 in Azure Synapse Analytics dedicated SQL pool into the correct order.
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
✓
Stage data, then identify changes, then expire old records, then insert new versions.
SCD Type 2: stage data, merge to find changes, expire old records, insert new versions, and update attributes (if needed).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Stage data, then identify changes, then expire old records, then insert new versions.
Why this is correct
This is the correct order because you first load the source data into a staging table, then compare it to the dimension table to find changed records, then mark the old record as expired by setting the end date, and finally insert the new version with a current start date and null end date.
- ✗
Stage data, then insert new versions, then expire old records.
Why it's wrong here
This order is incorrect because inserting new versions before expiring old records would result in duplicate current records with overlapping validity periods, violating the SCD Type 2 design.
- ✗
Identify changes, then stage data, then expire old records, then insert new versions.
Why it's wrong here
This order is incorrect because you need to stage the new data first before you can compare it to the dimension table to identify changes; otherwise, you have no new data to compare.
- ✗
Stage data, then expire old records, then identify changes, then insert new versions.
Why it's wrong here
This order is incorrect because expiring old records before identifying changes means you would expire records without knowing which ones actually changed, potentially expiring records that are still valid.
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