CT-AI · Question #26
The stakeholders of a machine learning model have confirmed that they understand the objective and purpose of the model, and ensured that the proposed model aligns with their business priorities…
The correct answer is B. Prepare and pre-process the data that will be used to train and test the model. The ML workflow typically involves iterative steps, beginning with data preparation once the model and framework are selected. The syllabus explains: "The steps shown in Figure 1 (the ML workflow) do not include the integration of the ML model with the non-ML parts of the…
Question
The stakeholders of a machine learning model have confirmed that they understand the objective and purpose of the model, and ensured that the proposed model aligns with their business priorities. They have also selected a framework and a machine learning model that they will be using. What should be the next step to progress along the machine learning workflow?
Options
- ATune the machine learning algorithm based on objectives and business priorities
- BPrepare and pre-process the data that will be used to train and test the model
- CAgree on defined acceptance criteria for the machine learning model
- DEvaluate the selection of the framework and the model
How the community answered
(21 responses)- A5% (1)
- B71% (15)
- C19% (4)
- D5% (1)
Explanation
The ML workflow typically involves iterative steps, beginning with data preparation once the model and framework are selected. The syllabus explains: "The steps shown in Figure 1 (the ML workflow) do not include the integration of the ML model with the non-ML parts of the overall system. Typically, ML models cannot be deployed in isolation and need to be integrated with the non-ML parts... The next step would be data preparation as part of the ML workflow to provide input data to support training by an ML algorithm or prediction by an ML model."
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