Mobile Analytics Data CT-MAT Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A team is testing a mobile game. Analytics show that the 'level 5 boss fight' has a high crash rate on devices with less than 2GB of RAM. The team wants to use this data to inform testing. What should they do?

   • AIncrease the minimum RAM requirement for the game.
   • BRemove the boss fight level from the game to avoid crashes.
   • CIgnore the crashes because they only affect a small percentage of users.
   • DInclude low-RAM devices in the test matrix and focus on the boss fight level.
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A team is developing a productivity app. They want to use mobile analytics data to improve app quality. Which statement best describes the role of mobile analytics data in this context?

   • AIt provides a complete record of every user action, which is sufficient for all testing needs.
   • BIt provides quantitative insights into user behavior and app performance, guiding testing and improvement decisions.
   • CIt replaces the need for manual testing by automatically finding all defects.
   • DIt is only useful for marketing teams to measure campaign success.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   Why is mobile analytics data important for mobile application testing?

   • AIt is primarily used to generate test data for automated test scripts.
   • BIt provides insights into real user behavior and app performance that can guide testing priorities and uncover issues not found in the lab.
   • CIt is used only to track marketing campaign performance and is not relevant to testing.
   • DIt replaces the need for manual testing because it automatically finds all defects.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   How can mobile analytics data be used to improve app quality?

   • ABy replacing the need for user feedback surveys.
   • BBy automatically fixing code defects without human intervention.
   • CBy identifying frequently used features that should be prioritized for performance optimization.
   • DBy generating new feature ideas based on user demographics.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A team is testing a social media app. They want to collect mobile analytics data to inform testing. Which data type would be most useful for identifying performance bottlenecks?

   • AUser age and gender.
   • BNumber of daily active users.
   • CIn-app purchase history.
   • DApp startup time and screen load times.
   Reveal Solution Discussion Select an answer first