Designing and Implementing a Data Science Solution on Azure — Question 154

You manage an Azure Machine Learning workspace. You build a model for which you must configure a Responsible AI dashboard.

Based on what you learn from the dashboard, you must perform the following activities:

• Determine what must be done to get a desirable outcome from the model.

• Identify the features that have the most direct effect on your outcome of interest.

You need to select the components to use for the Responsible AI dashboard configuration.

Which two components should you add? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Answer options

• A. error analysis
• B. counterfactuals
• C. explanation
• D. causal

Correct answer: B, D

Explanation

The correct components for the Responsible AI dashboard configuration are counterfactuals and causal. Counterfactuals help in understanding the model's decisions by showing how changes in input features affect the outcome, while causal analysis provides insights into the cause-and-effect relationships between features and outcomes. Error analysis and explanation, while useful, do not directly address the need to identify features affecting the outcome and optimizing model performance in the same way.