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A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?
For a machine learning progress, how should you split data for training and evaluation?
See the explanation below.
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data
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?
See the explanation below.
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.
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?
See the explanation below.
Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
See the explanation below.
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
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