Assess your understanding of idempotency in REST APIs, including its core concepts, implementation challenges, and practical scenarios. This quiz is designed for developers and architects looking to ensure reliable and predictable API behavior.
Which HTTP method is inherently idempotent, meaning that making the same request multiple times produces the same result each time?
Explanation: PUT is an idempotent HTTP method because sending the same PUT request multiple times will yield the same resource state after each call. POST is not inherently idempotent, as repeating a POST can create multiple resources or have cumulative effects. PATCH is used for partial updates and may not be idempotent depending on the implementation. CONNECT is used for tunneling and does not guarantee idempotency in resource modification.
When designing a REST API for creating new resources, which strategy helps make POST requests idempotent, preventing duplicate resource creation due to network retries?
Explanation: Including an Idempotency-Key in the request header lets the server recognize repeated requests and return the same result, ensuring that duplicate resources aren't created. Using only query parameters doesn't guarantee uniqueness or idempotency. Server-side timestamps help with ordering, but can't prevent repeated creation. Rate limiting controls frequency but isn't a solution for ensuring idempotent resource creation.
If a client mistakenly retries a non-idempotent withdrawal API multiple times due to a network failure, what is the most likely outcome?
Explanation: With non-idempotent operations, such as a withdrawal via POST, repeated requests may cause multiple debits, resulting in unintended consequences. Debit only once is not guaranteed unless idempotency measures are implemented. Automatic freezing of accounts does not occur by default in most APIs. Network errors may trigger the retry, but do not prevent duplicate debits.
Which statement best describes the guarantee provided by an idempotent API endpoint?
Explanation: An idempotent endpoint ensures that performing the same request repeatedly does not change the outcome or resource state. Speed of completion is not guaranteed by idempotency. Idempotency can apply to both read and certain write operations, not just reads. Processing requests randomly contradicts predictability and reliability, which idempotency aims to provide.
What is a common challenge when implementing idempotency for operations that change server-side state, such as fund transfers?
Explanation: Ensuring that concurrent requests using the same idempotency key are processed safely without race conditions is a major challenge. Generating documentation, choosing content types, and parsing query strings are important considerations but are unrelated to idempotency or are easier to address. The correct handling of such concurrency is crucial to maintaining correct business logic and preventing duplicate operations.