Topic 1 Question 257
You are using Cloud Run to host a global ecommerce web application. Your company’s design team is creating a new color scheme for the web app. You have been tasked with determining whether the new color scheme will increase sales. You want to conduct testing on live production traffic. How should you design the study?
Use an external HTTP(S) load balancer to route a predetermined percentage of traffic to two different color schemes of your application. Analyze the results to determine whether there is a statistically significant difference in sales.
Use an external HTTP(S) load balancer to route traffic to the original color scheme while the new deployment is created and tested. After testing is complete, reroute all traffic to the new color scheme. Analyze the results to determine whether there is a statistically significant difference in sales.
Use an external HTTP(S) load balancer to mirror traffic to the new version of your application. Analyze the results to determine whether there is a statistically significant difference in sales.
Enable a feature flag that displays the new color scheme to half of all users. Monitor sales to see whether they increase for this group of users.
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- 正解だと思う選択肢: A
Correct answer is A. This is classic A/B testing. Since you already have a new version, built into an image, all you need do is to use the load balancer to split traffic going to old version and new version. See: https://cloud.google.com/load-balancing/docs/l7-internal/traffic-management#traffic_actions_weight-based_traffic_splitting. Note that global load balancers can route to serverless services. https://cloud.google.com/load-balancing/docs/https/setting-up-https-serverless
👍 3theereechee2023/05/07 - 正解だと思う選択肢: D
This is the best way to test the new color scheme on live production traffic. By enabling a feature flag, you can display the new color scheme to a subset of users while keeping the old color scheme for the rest of the users. This will allow you to compare sales between the two groups of users and determine whether the new color scheme has a statistically significant impact on sales.
👍 1Writer2023/04/26
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