Your development team has created a mobile game app. You want to test the new mobile app on Android and iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What should you do?
A.
Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.
B.
Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.
C.
Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the containers, and test the mobile app.
D.
Upload your mobile app with different configurations to Firebase Hosting and test each configuration.
Correct Answer: A
- Firebase Test Lab is a cloud-based app testing infrastructure that lets you test your app on a range of devices and configurations, so you can get a better idea of how it'll perform in the hands of live users.
- Firebase Test Lab Run tests on a wide range of Android and iOS devices hosted by Test Lab.
The correct answer is: A. Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.
The Firebase Test Lab is a cloud-based testing service that allows you to test your mobile app on a variety of physical devices running Android and iOS. It provides a range of options for testing your app, including testing on different device models, screen sizes, and operating system versions.
To use the Firebase Test Lab, you will need to upload your mobile app to the service and specify the devices and configurations you want to test. The Test Lab will then run your tests on the specified devices and provide results, including performance metrics and crash reports. This will allow you to test your mobile app on a variety of configurations efficiently and cost-effectively.
In addition to providing performance metrics and crash reports, the Test Lab also allows you to record video of the tests being run, so you can see how your app is behaving on each device. This can be particularly useful for identifying and debugging issues that may not be immediately apparent from the test results.
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