Explore key concepts in handling offline API requests and ensuring effective data synchronization for robust web and mobile applications. This quiz covers strategies, conflict resolution, local storage, and best practices for managing connectivity issues and data consistency.
Which method is commonly used to store API request data locally when a device is offline?
Explanation: Local storage is regularly used to save API request data locally when offline so it can be sent later when connectivity is restored. Remote server and live stream are not accessible when there is no connection. Instant messaging queue is unrelated to API request caching in offline scenarios.
How can an application determine when it should begin storing API requests for later synchronization?
Explanation: Applications typically monitor network connectivity to know when to switch to offline mode and store API requests for later. Checking the user's email, image resolution, or battery are irrelevant to knowing if an app is online or offline.
When a device reconnects after being offline, what should an application do with the stored API requests?
Explanation: Replay them in order ensures actions are executed as intended and preserves data integrity. Deleting, ignoring, or sending stored requests randomly would result in lost user actions, inconsistencies, or unpredictable results.
What is a common approach for resolving conflicts if the same data is modified offline by multiple users?
Explanation: Prompting for manual merge lets users decide how to handle conflicting changes, supporting data integrity. Ignoring, randomly selecting, or deleting both changes risks losing important updates and frustrates users.
Which advantage does queuing API requests during offline mode provide for the user experience?
Explanation: Queuing API requests helps users interact with the app without disruption, enhancing their experience. It does not directly speed up image loading, reduce notifications, or lengthen battery life.
What is an effective strategy to prevent duplicate data when replaying offline API requests?
Explanation: Assigning unique identifiers ensures each request is only processed once, preventing duplicates. Resending, shuffling requests, or ignoring failures can cause data errors, redundancy, or information loss.
If a user creates a new note while offline and the app queues a POST request, what happens when the connection is restored?
Explanation: When online again, the app sends the queued POST request so the server can store the new note. Deleting the note, leaving the request forever unsent, or only notifying the user is not the correct process.
Why is it important to maintain a copy of the server’s latest data locally when offline?
Explanation: Having the latest server data helps the app compare and merge local changes properly. Less memory usage, automatic logouts, or blocking input are unrelated to synchronization and can negatively impact functionality.
When replaying offline API requests, why should they usually be sent in the original order created?
Explanation: Sending offline requests in their original order ensures that intended user actions are preserved and consistent. Sending out of order may cause errors or data inconsistency, and the process doesn't impact network speed or encryption.
What is a good way to inform users that their offline data has been successfully synchronized?
Explanation: Showing a confirmation reassures users their changes are saved on the server. Automatically closing the app, muting sounds, or altering the wallpaper are disruptive and do not provide clear communication about data sync status.