Android Jetpack Practice Exam
Android Jetpack Practice Exam
About Android Jetpack Exam
The Android Jetpack Exam assesses your understanding and practical skills in using Android Jetpack components to build robust, maintainable, and scalable Android applications. Jetpack is a suite of libraries, tools, and guidance provided by Google to accelerate Android development. This exam is ideal for Android developers who want to master architecture components, navigation, lifecycle-aware components, background tasks, and UI elements. Candidates will gain hands-on knowledge of modern Android app development practices and best design patterns.
Who should take the Exam?
This exam is ideal for:
- Android application developers
- Software engineers transitioning to mobile development
- Mobile UI/UX developers
- Students and learners interested in Android development
- Professionals aiming for certification in Android frameworks
Skills Required
- Familiarity with Android Studio and the Android SDK
- Knowledge of Kotlin or Java
- Understanding of basic Android app architecture
- OOP principles and UI/UX fundamentals
Knowledge Gained
- Mastery of Jetpack components (Room, LiveData, ViewModel, etc.)
- Efficient navigation using Jetpack Navigation
- Data persistence and background processing techniques
- Modular, maintainable architecture design
Course Outline
The Android Jetpack Exam covers the following topics -
Domain 1 – Introduction to Android Jetpack
- Overview of Jetpack components
- Benefits and structure of Jetpack
- Google’s modern development approach
Domain 2 – Architecture Components
- ViewModel and LiveData
- Room database integration
- Repository and data layer design
Domain 3 – Navigation and UI
- Jetpack Navigation component
- SafeArgs and Navigation Graph
- UI components: ConstraintLayout, MotionLayout
Domain 4 – Lifecycle Management
- Lifecycle-aware components
- Handling configuration changes
- Observer pattern and memory management
Domain 5 – WorkManager and Background Tasks
- WorkManager basics and use cases
- Chaining and scheduling tasks
- Best practices for background execution
Domain 6 – Advanced Jetpack Integrations
- DataBinding and ViewBinding
- Paging and large dataset handling
- Using Hilt for dependency injection
