An e-commerce app team sees from analytics that users on a specific Android device model experience a 3x higher crash rate than the average. The crashes occur in the image-loading library. The team wants to improve app quality. What is the most effective use of this analytics data?

Increase the crash reporting threshold so this device model's crashes are not counted in the overall rate.

Prioritize testing and fixing the image-loading library on that specific device model.

Remove the image-loading library and replace it with a simpler custom solution.

Advise all users on that device model to update their OS to the latest version.

A mobile banking app team notices from analytics that the 'transfer funds' flow has a 40% drop-off rate at the 'confirm transaction' screen, and crash reports show no errors at that step. Session replays show users hesitating and then leaving. The team wants to use this analytics data to prioritize a testing effort. What should they do first?

Run a full regression test suite on the entire app to find the underlying defect causing the drop-off.

Ignore the drop-off because the app is not crashing, so the flow is functionally correct.

Conduct usability testing focused on the confirm screen to identify UX friction, then implement and verify improvements with A/B testing.

Increase the timeout on the confirm screen because users need more time to read the transaction details.

In which scenario would mobile analytics data most directly influence testing decisions?

Analytics shows a high crash rate on a specific Android version, prompting targeted testing on that version.

The development team decides to rewrite the app in a different programming language.

The marketing team plans a new advertising campaign.

The project manager assigns more developers to the project.

Certified Tester Mobile Application Testing

Domain 1Objective 1

Mobile Analytics Data CT-MAT Practice Questions (Page 5)

Part of the Mobile World - Business and Technology Drivers domain, which makes up ~40% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~10–16 in this domain), expect 1–2 from this objective — we provide 23 practice questions to prepare you well beyond it. (estimate)

23questions here

5free pages

4concepts

Questions 21–23

21application · medium
An e-commerce app team sees from analytics that users on a specific Android device model experience a 3x higher crash rate than the average. The crashes occur in the image-loading library. The team wants to improve app quality. What is the most effective use of this analytics data?
Select an answer first
22application · medium
A mobile banking app team notices from analytics that the 'transfer funds' flow has a 40% drop-off rate at the 'confirm transaction' screen, and crash reports show no errors at that step. Session replays show users hesitating and then leaving. The team wants to use this analytics data to prioritize a testing effort. What should they do first?
Select an answer first
23foundation · easy
In which scenario would mobile analytics data most directly influence testing decisions?
Select an answer first

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Mobile Analytics Data CT-MAT Practice Questions (Page 5)

Questions 21–23

An e-commerce app team sees from analytics that users on a specific Android device model experience a 3x higher crash rate than the average. The crashes occur in the image-loading library. The team wants to improve app quality. What is the most effective use of this analytics data?

In which scenario would mobile analytics data most directly influence testing decisions?

Keep studying — Mobile World - Business and Technology Drivers