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To complete the sentence, select the appropriate option in the answer area.
________ is used to generate additional features
A. Feature engineering
B. Feature selection
C. Model evaluation
D. Model training
答案:A
解析:Feature engineering is applied first to generate additional features, and then feature selection is done to eliminate irrelevant, redundant, or highly correlated features.
Reference - https://docs.microsoft.com/en-us/azure/architecture/data-science-process/create-features


You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
✑ Include one or more faces.
✑ Contain at least one person wearing sunglasses.
What should you use to analyze the images?
A. the Verify operation in the Face service
B. the Detect operation in the Face service
C. the Describe Image operation in the Computer Vision service
D. the Analyze Image operation in the Computer Vision service
答案:B
解析:"Optionally, face detection can extract a set of face-related attributes, such as head pose, age, emotion, facial hair, and glasses."
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview


When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?
A. transparency
B. inclusiveness
C. fairness
D. privacy and security
答案:A
解析:https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#transparency
Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way. Snapshots within Azure Machine Learning workspaces support transparency by recording or retraining all training-related assets and metrics involved in the experiment.


You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Implement an Agile software development methodology
B. Implement a process of AI model validation as part of the software review process
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
D. Prevent the disclosure of the use of AI-based algorithms for automated decision making
答案:BC
解析:B ensures reliability and safety principle and C ensures privacy and security principle of AI.


According to Microsoft's _______ principle of responsible Al, Al systems should NOT reflect biases from the data sets that are used to train the systems.
A. accountability
B. fairness
C. inclusiveness
D. transparency
答案:B
解析:https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#fairness
Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.

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