PCDE Migrate data solutions Practice Question
An organization is migrating a Redshift data warehouse to BigQuery using BigQuery Data Transfer Service. They have scheduled a recurring transfer. However, they notice that some columns are not being mapped correctly. What is the most likely cause?
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
✓
Incorrect column mapping configuration
BigQuery Data Transfer Service may require schema mapping, and incorrect column mapping can cause data to go to wrong columns or be dropped. Permission issues would cause failures, not incorrect mapping. Scheduled transfers don't affect mapping. Column ordering is not relevant.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Insufficient BigQuery permissions
Why it's wrong here
Permissions issues would cause the transfer to fail entirely, not mis-map columns.
- ✗
Source column order differs from destination
Why it's wrong here
Column order is typically handled by names, not order, in schema mapping.
- ✗
Transfer schedule is too frequent
Why it's wrong here
Frequency does not affect column mapping.
- ✓
Incorrect column mapping configuration
Why this is correct
If the schema mapping is not correctly defined, columns may be mismapped.
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