Explore essential concepts in mobile performance optimization architecture, focusing on best practices and effective strategies for fast and efficient app experiences. This quiz covers foundational techniques, common pitfalls, and key principles for optimizing mobile app speed, responsiveness, and resource usage.
Which architectural strategy best reduces load times when displaying many images in a mobile app gallery?
Explanation: Lazy loading allows images to load only when they're about to be displayed, improving load times and reducing memory usage. Using uncompressed images slows down loading due to file size. Storing all images in memory can lead to crashes and high memory consumption. Changing screen brightness does not affect image loading speed.
Why is it important to avoid performing heavy computations on the main thread in a mobile app’s architecture?
Explanation: The main thread handles user interface updates, so heavy computations there can cause lag and unresponsiveness. Increasing installation size is unrelated. Network speed is improved through network strategies, not main thread processing. Hardware speed is determined by the device, not by thread management.
Which technique reduces unnecessary network requests and improves performance in mobile architecture?
Explanation: Local caching stores data for quick access, reducing repeated requests and improving performance. Sending duplicate requests adds overhead and can slow apps down. Requesting all data at launch wastes bandwidth. Disabling background tasks is unrelated and can negatively affect app features.
What approach helps minimize the overall size of a mobile app's installation file (APK)?
Explanation: Eliminating unnecessary resources and code keeps the installation file size small and efficient. Adding analytics libraries usually increases size. Using only high-resolution images inflates file size unnecessarily. Duplicating assets for every screen wastes storage.
Which data storage practice best improves app performance for frequently accessed user preferences?
Explanation: Lightweight key-value storage quickly saves and retrieves small pieces of data like preferences, improving performance. Large encrypted files slow down access for simple data. Constant server requests delay loading and increase network usage. Image files are not designed for storing text preferences.
Which architectural technique helps prevent memory leaks in a mobile application?
Explanation: Releasing unused object references allows memory to be reclaimed, preventing leaks. Raising memory limits can mask the problem and waste resources. Duplicating data increases memory consumption. Not managing background processes may cause leaks, but the main strategy is managing object references.
Why should recycling views in lists (such as with a view holder pattern) be part of mobile app architecture?
Explanation: Recycling views minimizes the need for creating new view objects, improving performance and reducing memory usage. Increasing network requests is not related to list recycling. Changing UI colors has no link to the pattern. Recycling views speeds up scrolling instead of slowing it down.
What is the recommended approach to avoid losing app state when the device orientation changes?
Explanation: Saving state data ensures that important information persists across orientation changes. Restarting the device is excessive and unnecessary. Blocking orientation changes limits usability for users. Lowering screen resolution does not preserve app state.
Which practice best optimizes battery life in a mobile application’s architecture?
Explanation: Lowering background update frequency reduces battery consumption while maintaining necessary features. Overusing vibration and running constant high-frame-rate animations both drain the battery quickly. Requesting location continuously also wastes power unnecessarily.
How can a mobile app architecture maintain quick navigation between multiple screens?
Explanation: Efficient stack management ensures fast transitions and proper memory usage when navigating between screens. Extra splash screens reduce speed and frustrate users. Re-loading all data with every navigation increases wait times. Using only static screens prevents interactive navigation, limiting app functionality.