The Impact of Using GenAI on Energy Consumption and CO2 Emissions CT-GENAI Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A QA team uses a large language model to generate API test assertions. They observe that 80% of the generated assertions are identical to those from the previous sprint. The team wants to reduce energy consumption without reducing test coverage. Which strategy is most effective?

   • AIncrease the temperature parameter of the model to generate more varied assertions
   • BRun the generation on a larger GPU cluster to finish faster
   • CRegenerate all assertions every sprint to ensure freshness
   • DCache and reuse generated assertions when the API contract has not changed
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What does 'carbon intensity' of an energy source refer to in the context of GenAI CO2 emissions?

   • AThe amount of CO2 emitted per unit of electricity generated
   • BThe amount of energy needed to train a model from scratch
   • CThe total energy consumed by a data center in a year
   • DThe speed at which a model can generate text
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company runs GenAI-powered test data generation on a cloud platform. The cloud provider offers two regions: Region A has a carbon intensity of 50 gCO2/kWh, and Region B has 400 gCO2/kWh. The workload consumes 100 kWh per week. The company wants to reduce its weekly CO2 emissions from this workload. What is the weekly emissions reduction if they move from Region B to Region A?

   • A350 kg CO2 per week
   • B5 kg CO2 per week
   • C40 kg CO2 per week
   • D35 kg CO2 per week
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which of the following is an environmental benefit of using GenAI to generate test cases?

   • AReplacing the need for any human testers
   • BEliminating the need for any test environments
   • CGuaranteeing that all tests pass on the first run
   • DReducing the need to run large numbers of manual test executions
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   During the inference phase of a generative AI model, which of the following factors most directly affects the energy consumed per request?

   • AThe type of database used to store the model weights
   • BThe operating system of the client device
   • CThe number of tokens generated in the response
   • DThe geographic location of the end user
   Reveal Solution Discussion Select an answer first