Free AWS AIF-C01 Certified AI Practitioner Actual Exam Questions - Question 14 Discussion
HOTSPOT A company wants to build an ML application. Select and order the correct steps from the following list to develop a well-architected ML workload. Each step should be selected one time. (Select and order FOUR.) • Deploy model • Develop model • Monitor model • Define business goal and frame ML problem 
Definitely agree with starting by defining the business goal (D) because without that, the whole process lacks direction. Then developing the model (B) makes sense as the next step since you need something to deploy. Deployment (A) logically follows to actually use the model. Monitoring (C) comes last to keep an eye on how it's performing in real-world conditions and catch any drift or issues. Skipping around or mixing these steps would mess up the workflow and likely cause problems in production.
Starting with defining the business goal (D) sets the direction. Then developing (B) follows naturally, deployment (A) puts it in use, and monitoring (C) checks performance after deployment. Makes logical workflow sense.
Defines goal first to guide model development, then deploy and monitor performance.
Agree on starting with defining the goal before developing the model.
Starts with defining the business goal, then develop, deploy, and finally monitor.
Think the right order should start with defining the business goal and framing the ML problem, since you need to know what you’re solving first. Then comes developing the model based on that problem. After building it, you deploy the model so it can be used in real life. Finally, monitoring the model is key to make sure it keeps performing well over time and adapting if needed. That sequence feels logical for a well-architected ML workflow. Haven’t seen this exact question but similar ones outline those main steps in this order.