SNOW-CAD Integrating and managing application data Practice Question
A scheduled import brings in 50,000 records daily. Which approach is the MOST efficient for transforming these records?
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
✓
Load all rows first, then run the transform as a batch process
Loading all rows into the staging table first and then running the transform as a batch process is the most efficient for 50,000 records because it minimizes overhead and leverages bulk processing. Option B is incorrect because transforming each row individually introduces significant per-record overhead. Option C is incorrect because database views are not designed for import transforms and may not support required mappings. Option D is incorrect because direct insert statements bypass import set logic and transform rules.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Load all rows first, then run the transform as a batch process
Why this is correct
Batch transform is the recommended pattern for large volumes.
- ✗
Run the transform after each row is inserted into the staging table
Why it's wrong here
This would cause high overhead and performance issues.
- ✗
Use a database view to transform data on the fly
Why it's wrong here
Database views do not perform data transformation into target tables.
- ✗
Write directly to the target table using insert statements
Why it's wrong here
This bypasses import set and transform logic, losing tracking and error handling.
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