Mobile Memory and Resource Management Questions

Covers memory management principles and resource handling for mobile applications across platforms. Candidates should understand platform specific models such as automatic reference counting on iOS and garbage collection on Android, common causes of memory leaks and retain cycles, and how reference ownership and weak versus strong references affect lifetime. Include techniques for releasing resources correctly in lifecycle methods and avoiding long lived references that hold activity or context objects. Expect knowledge of memory profiling and diagnostics including tools and workflows for locating leaks and high memory usage, strategies to prevent out of memory conditions, and trade offs such as requesting a larger heap. Also cover cross platform considerations for frameworks like React Native and Flutter and practical practices for identifying and fixing real memory issues in production, such as analyzing heap dumps, using allocation instrumentation, and applying targeted fixes and regression tests.

MediumTechnical

57 practiced

You receive production reports of progressive memory growth in your Android app. Describe a step-by-step workflow to identify and fix the leak using production data: how to capture heap dumps or allocation samples with minimal user impact, analyze heaps with MAT or Android Studio, identify GC root paths, propose fixes, and validate the resolution.

EasyTechnical

63 practiced

Summarize how memory management concerns differ for cross-platform frameworks like React Native and Flutter. Cover React Native's JS heap and native heap separation, how the bridge can duplicate data, and Flutter's Dart GC plus native Skia GPU/texture memory. Identify common leak sources specific to each framework.

MediumTechnical

78 practiced

Consider this Android Java example: 'public class MyManager { private static Context sContext; public static void init(Context ctx) { sContext = ctx; } }'. Identify why this code causes leaks when init is called with an Activity context, and propose at least three robust fixes that maintain functionality without leaking activities.

MediumTechnical

77 practiced

Define allocation churn and allocation rate in the context of mobile apps. Explain why high allocation churn can produce GC pauses and jank, identify code patterns that create churn (boxing, small allocations in hot loops), and propose concrete techniques to reduce churn in hot paths.

MediumTechnical

75 practiced

Implement an LRU cache in Java or Kotlin with methods get(key) and put(key, value, sizeInBytes). The cache must evict least-recently-used items when the total stored byte size exceeds a provided budget. Describe concurrency constraints and outline how to make it thread-safe and efficient.

Unlock Full Question Bank

Get access to hundreds of Mobile Memory and Resource Management interview questions and detailed answers.

Join thousands of developers preparing for their dream job.