Imagine you send a request to add an item to a DynamoDB table, but the network is slow and you are unsure if the request succeeded. What is the main reason to use an idempotency token in this case?
Think about what happens if you send the same request twice by mistake.
Idempotency tokens help DynamoDB recognize repeated requests and avoid processing the same operation multiple times, preventing duplicate data.
Given a DynamoDB table with a primary key 'OrderId', you run this PutItem request twice with the same idempotency token. What will be the result?
PutItem({
TableName: 'Orders',
Item: { OrderId: '123', Status: 'Pending' },
ClientRequestToken: 'token-abc-123'
})Think about how DynamoDB treats repeated requests with the same token.
DynamoDB uses the idempotency token to detect repeated requests and returns success without duplicating the item.
Choose the correct syntax to add an idempotency token to a TransactWriteItems request in DynamoDB.
TransactWriteItems({
TransactItems: [
{ Put: { TableName: 'Orders', Item: { OrderId: '001', Status: 'New' } } }
],
/* Where to add idempotency token? */
})Idempotency tokens apply to the whole transaction, not individual items.
The ClientRequestToken is a top-level parameter in TransactWriteItems to ensure the entire transaction is idempotent.
Which of the following best explains how idempotency tokens optimize write operations in DynamoDB?
Think about how avoiding duplicates helps system efficiency.
Idempotency tokens help DynamoDB avoid processing the same write multiple times, reducing unnecessary work and storage.
You send a PutItem request with an idempotency token 'token-123' and item {OrderId: '1', Status: 'Pending'}. Later, you send another PutItem with the same token but item {OrderId: '1', Status: 'Shipped'}. What error will DynamoDB return?
Think about what happens if the same token is used with different data.
DynamoDB throws IdempotentParameterMismatchException when the same idempotency token is reused with different request parameters.