AI-900

Identify features of common AI workloads

• identify features of anomaly detection workloads

• identify computer vision workloads

• identify natural language processing workloads

• identify knowledge mining workloads

Identify guiding principles for responsible AI

• describe considerations for fairness in an AI solution

• describe considerations for reliability and safety in an AI solution

• describe considerations for privacy and security in an AI solution

• describe considerations for inclusiveness in an AI solution

• describe considerations for transparency in an AI solution

• describe considerations for accountability in an AI solution

識別常見 AI 工作負載的特徵

• 識別異常檢測工作負載的特徵

• 識別計算機視覺工作負載

• 識別自然語言處理工作負載

• 識別知識挖掘工作負載

確定負責任人工智能的指導原則

• 描述 AI 解決方案中的公平性考慮因素

• 描述人工智能解決方案的可靠性和安全性考慮因素

• 描述人工智能解決方案中的隱私和安全注意事項

• 描述人工智能解決方案的包容性考慮因素

• 描述人工智能解決方案的透明度考慮因素

• 描述 AI 解決方案中的問責制注意事項

Identify common machine learning types

• identify regression machine learning scenarios

• identify classification machine learning scenarios

• identify clustering machine learning scenarios

Describe core machine learning concepts

• identify features and labels in a dataset for machine learning

• describe how training and validation datasets are used in machine learning

Describe capabilities of visual tools in Azure Machine Learning Studio

• automated machine learning

• Azure Machine Learning designer

識別常見的機器學習類型

• 識別回歸機器學習場景

• 識別分類機器學習場景

• 識別集群機器學習場景

描述核心機器學習概念

• 識別數據集中的特徵和標籤以進行機器學習

• 描述如何在機器學習中使用訓練和驗證數據集

描述 Azure 機器學習工作室中可視化工具的功能

• 自動化機器學習

• Azure 機器學習設計器

Identify common types of computer vision solution

• identify features of image classification solutions

• identify features of object detection solutions

• identify features of optical character recognition solutions

• identify features of facial detection, facial recognition, and facial analysis solutions

Identify Azure tools and services for computer vision tasks

• identify capabilities of the Computer Vision service

• identify capabilities of the Custom Vision service

• identify capabilities of the Face service

• identify capabilities of the Form Recognizer service

識別常見類型的計算機視覺解決方案

• 識別圖像分類解決方案的特徵

• 識別對象檢測解決方案的特徵

• 識別光學字符識別解決方案的特徵

• 識別面部檢測、面部識別和面部分析解決方案的特徵

確定用於計算機視覺任務的 Azure 工具和服務

• 識別計算機視覺服務的能力

• 確定自定義視覺服務的功能

• 識別人臉服務的能力

• 識別表單識別器服務的功能

Identify features of common NLP Workload Scenarios

• identify features and uses for key phrase extraction

• identify features and uses for entity recognition

• identify features and uses for sentiment analysis

• identify features and uses for language modeling

• identify features and uses for speech recognition and synthesis

• identify features and uses for translation

Identify Azure tools and services for NLP workloads

• identify capabilities of the Language service

• identify capabilities of the Speech service

• identify capabilities of the Translator service

Identify considerations for conversational AI solutions on Azure

• identify features and uses for bots

• identify capabilities of the Azure Bot service

識別常見 NLP 工作負載場景的特徵

• 識別關鍵短語提取的特徵和用途

• 識別實體識別的特徵和用途

• 識別情感分析的特徵和用途

• 識別語言建模的特徵和用途

• 識別語音識別和合成的特徵和用途

• 確定翻譯的特徵和用途

確定適用於 NLP 工作負載的 Azure 工具和服務

• 識別語言服務的能力

• 識別語音服務的功能

• 識別翻譯服務的能力

確定 Azure 上對話式 AI 解決方案的注意事項

• 識別機器人的功能和用途

• 識別 Azure Bot 服務的功能