You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What sh

The correct answer is B. Enable Explain best model.. Model Explain Ability. Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is u

Submitted by katya_ua· Mar 30, 2026Plan and manage an Azure AI solution

Question

You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?

Options

ASet Validation type to Auto.
BEnable Explain best model.
CSet Primary metric to accuracy.
DSet Max concurrent iterations to 0.

How the community answered

(41 responses)

A
5% (2)
B
71% (29)
C
17% (7)
D
7% (3)

Explanation

Model Explain Ability. Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs. https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure- machine-learning-service/

Topics

#responsible AI#transparency principle#AutoML#model explainability

Community Discussion

No community discussion yet for this question.

Full AI-900 Practice