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. Select each step one time. <Dropdown blanks={[{"id":"step1","options":["Select...","Deploy model","Develop model","Monitor model","Define business goal and frame ML problem"],"answer":"Define business goal and frame ML problem","label":"Step 1:"},{"id":"step2","options":["Select...","Deploy model","Develop model","Monitor model","Define business goal and frame ML problem"],"answer":"Develop model","label":"Step 2:"},{"id":"step3","options":["Select...","Deploy model","Develop model","Monitor model","Define business goal and frame ML problem"],"answer":"Deploy model","label":"Step 3:"},{"id":"step4","options":["Select...","Deploy model","Develop model","Monitor model","Define business goal and frame ML problem"],"answer":"Monitor model","label":"Step 4:"}]} explanation={"The ML lifecycle starts by identifying the business outcome and framing it as an ML problem. The model is then built, trained, tuned, and evaluated; the validated model is deployed to production; and its production performance is monitored for degradation or drift.\n\n**Learn more:** [Well-Architected machine learning lifecycle - Machine Learning Lens](https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens/machine-learning-lifecycle.html)"} />