What does weighting in a random selector allow you to control?

  1. The frequency of user activities

  2. The average think time within a selector

  3. The number of iterations of a specific user activity

  4. The total run time of a specific user activity


Correct Option: A

AI Explanation

To answer this question, you need to understand the concept of weighting in a random selector.

Option A) The frequency of user activities - This option is correct because weighting in a random selector allows you to control the frequency of user activities. By assigning different weights to different activities, you can influence the likelihood of each activity being selected during random selection.

Option B) The average think time within a selector - This option is incorrect because weighting in a random selector does not control the average think time within a selector. Think time is a separate concept that represents the time a user spends thinking or interacting with an application between two activities.

Option C) The number of iterations of a specific user activity - This option is incorrect because weighting in a random selector does not control the number of iterations of a specific user activity. The number of iterations can be controlled through other means such as loops or counters in the test script.

Option D) The total run time of a specific user activity - This option is incorrect because weighting in a random selector does not control the total run time of a specific user activity. The run time of an activity is determined by the actions performed within the activity and the duration of those actions.

The correct answer is A) The frequency of user activities. This option is correct because weighting in a random selector allows you to control the frequency of user activities by assigning different weights to each activity.

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