The Impact of Using GenAI on Energy Consumption and CO2 Emissions CT-GENAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is a primary factor that contributes to the energy consumption of a generative AI model during the training phase?

   • AThe number of users accessing the model simultaneously
   • BThe number of parameters in the model
   • CThe choice of programming language used to write the training code
   • DThe color depth of the training images
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A test automation team currently writes UI test scripts manually, taking 20 hours per sprint. They evaluate using a GenAI assistant that generates the scripts in 2 hours but requires 50 kWh of additional compute per sprint. The team's sustainability officer asks whether the switch is environmentally justified. What is the most important additional information needed to make this assessment?

   • AThe hourly salary of the test automation engineers
   • BThe version of the GenAI model being used
   • CThe carbon intensity of the electricity used for the GenAI compute
   • DThe number of test cases in the regression suite
   Reveal Solution Discussion Select an answer first
4. 18application · medium · select all that apply

   A test team wants to reduce the energy consumption of their GenAI-based test generation pipeline. The pipeline currently uses a large model on dedicated GPU servers that run 24/7. Select all actions that would reduce energy consumption.

   • ABatch test generation requests to improve GPU utilization
   • BUse a smaller model fine-tuned for the specific test generation task
   • CShut down GPU servers when no test generation jobs are running
   • DIncrease the number of GPU servers to reduce job queue time
   • EMove the workload to a region with lower carbon intensity
   Check answers Discussion Select an answer first
5. 19application · medium

   A QA team uses GenAI to generate test data for a performance test that runs once per month. The GenAI generation takes 10 kWh per run. The team is considering whether to generate the data once and reuse it for 12 months, or generate fresh data each month. What is the primary environmental trade-off?

   • AReusing data saves 10 kWh per year with no impact on test validity
   • BReusing data saves 110 kWh per year but may reduce test validity if the data becomes unrepresentative
   • CGenerating fresh data each month is more energy-efficient because it uses newer models
   • DBoth approaches have the same energy cost because the model is the same
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   Which of the following is a strategy to reduce the energy consumption of a generative AI model used in software testing?

   • AGenerating longer test descriptions for better coverage
   • BIncreasing the number of training epochs to improve accuracy
   • CRunning the model on a larger GPU cluster
   • DUsing a smaller, fine-tuned model instead of a large general-purpose model
   Reveal Solution Discussion Select an answer first