SAP-C02 Design for New Solutions Practice Question
A company is designing a multi-region active-active application that uses Amazon DynamoDB global tables. The application must be able to handle write conflicts that may occur when the same item is updated in two different regions at the same time. The company needs to ensure that the application uses the most recently written data. What should the architect recommend?
⚠ Common exam trap
The trap here is that candidates often overthink conflict resolution and choose complex options like streams or optimistic locking, not realizing that DynamoDB global tables already handle this automatically with LWW, which is the simplest and most appropriate solution for ensuring the most recently written data is used.
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
✓
Use the default last writer wins conflict resolution
Amazon DynamoDB global tables use a last writer wins (LWW) conflict resolution mechanism based on the timestamp of the update. When concurrent updates to the same item occur in different regions, DynamoDB automatically compares the update timestamps and retains the most recently written data. This satisfies the requirement to use the most recently written data without requiring custom reconciliation logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use the default last writer wins conflict resolution
Why this is correct
DynamoDB global tables use LWW based on a timestamp attribute to ensure the most recently written data is kept.
- ✗
Use optimistic locking with a version number
Why it's wrong here
Optimistic locking requires application logic and does not automatically resolve multi-region conflicts.
- ✗
Use DynamoDB Streams to capture changes and reconcile conflicts
Why it's wrong here
Streams only capture changes, they do not resolve conflicts automatically.
- ✗
Use conditional writes to prevent overwrites
Why it's wrong here
Conditional writes reject one update, not guarantee the most recent.
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