微软AI-900考试认证题库

完整题库可在微X搜索"题主"小程序,认准"考证的叶子"账号!

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.

相关推荐
叁两2 小时前
用opencode打造全自动公众号写作流水线,AI 代笔太香了!
前端·人工智能·agent
前端付豪2 小时前
LangChain记忆:通过Memory记住上次的对话细节
人工智能·python·langchain
strayCat232552 小时前
Clawdbot 源码解读 7: 扩展机制
人工智能·开源
王鑫星2 小时前
SWE-bench 首次突破 80%:Claude Opus 4.5 发布,Anthropic 的野心不止于写代码
人工智能
lnix2 小时前
当“大龙虾”养在本地:我们离“反SaaS”的AI未来还有多远?
人工智能·aigc
泉城老铁2 小时前
Dify知识库如何实现多关键词AND检索?
人工智能
阿星AI工作室3 小时前
给openclaw龙虾造了间像素办公室!实时看它写代码、摸鱼、修bug、写日报,太可爱了吧!
前端·人工智能·设计模式
Halo咯咯3 小时前
别再学写代码了,顶级工程师现在在学管理AI agent | 值得一读
人工智能
明明如月学长3 小时前
被 Claude Code 劝退?这款免费开源好用的 AI 神器更适合普通人
人工智能