AI-901認證資料 & AI-901題庫

Fast2test為你提供了不同版本的資料以方便你的使用。PDF版的AI-901考古題方便你的閱讀，為你真實地再現考試題目。軟體版本的AI-901考古題作為一個測試引擎，可以幫助你隨時測試自己的準備情況。如果你想知道你是不是充分準備好了AI-901考試，那麼你可以利用軟體版的考古題來測試一下自己的水準。這樣你就可以快速找出自己的弱點和不足，進而有利於你的下一步學習安排。

Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Describe features of generative AI workloads on Azure (20-25%)20-25%- Identify features of generative AI solutions
  • 1. Identify features of generative AI models
  • 2. Identify responsible AI considerations for generative AI
  • 3. Identify common scenarios for generative AI
- Identify generative AI services and capabilities in Microsoft Azure
  • 1. Describe features and capabilities of Azure AI Foundry
  • 2. Describe features and capabilities of Azure OpenAI service
  • 3. Describe features and capabilities of Azure AI Foundry model catalog
Describe fundamental principles of machine learning on Azure (15-20%)15-20%- Describe core machine learning concepts
  • 1. Identify features and labels for training data in machine learning
  • 2. Describe how training and validation datasets are used in machine learning
- Describe Azure Machine Learning capabilities
  • 1. Describe capabilities of automated machine learning
  • 2. Describe data and compute services for data science and machine learning
  • 3. Describe model management and deployment capabilities in Azure Machine Learning
- Identify common machine learning techniques
  • 1. Identify classification machine learning scenarios
  • 2. Identify regression machine learning scenarios
  • 3. Identify features of deep learning techniques
  • 4. Identify clustering machine learning scenarios
Describe Artificial Intelligence workloads and considerations (15-20%)15-20%- Identify guiding principles for responsible AI
  • 1. Describe considerations for reliability and safety in an AI solution
  • 2. Describe considerations for transparency in an AI solution
  • 3. Describe considerations for fairness in an AI solution
  • 4. Describe considerations for accountability in an AI solution
  • 5. Describe considerations for inclusiveness in an AI solution
  • 6. Describe considerations for privacy and security in an AI solution
- Identify features of common AI workloads
  • 1. Identify features of knowledge mining workloads
  • 2. Identify features of Natural Language Processing (NLP) workloads
  • 3. Identify features of content moderation and moderation workloads
  • 4. Identify features of computer vision workloads
  • 5. Identify features of document intelligence workloads
  • 6. Identify features of generative AI workloads
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)15-20%- Identify features of common NLP workload scenarios
  • 1. Identify features and uses for speech recognition and synthesis
  • 2. Identify features and uses for language modeling
  • 3. Identify features and uses for sentiment analysis
  • 4. Identify features and uses for translation
  • 5. Identify features and uses for entity recognition
  • 6. Identify features and uses for key phrase extraction
- Identify Azure tools and services for NLP workloads
  • 1. Describe capabilities of the Azure AI Language service
  • 2. Describe capabilities of the Azure AI Speech service
Describe features of computer vision workloads on Azure (15-20%)15-20%- Identify Azure tools and services for computer vision tasks
  • 1. Describe capabilities of the Azure AI Vision service
  • 2. Describe capabilities of the Azure AI Face detection service
- Identify common types of computer vision solution
  • 1. Identify features of optical character recognition (OCR) solutions
  • 2. Identify features of image analysis solutions
  • 3. Identify features of semantic segmentation solutions
  • 4. Identify features of image classification solutions
  • 5. Identify features of object detection solutions
  • 6. Identify features of face detection and identification solutions

>> AI-901認證資料 <<

AI-901題庫 & 新版AI-901題庫

有了Microsoft AI-901認證考試的證書就相當於人生有了個新的里程牌，工作將會有很大的提升，相信作為IT行業人士的每個人都很想擁有吧。很多人都在討論說這麼好的一個證書是很難通過的，實際上確實通過率是相當的低。沒有做過任何的努力當然是不容易通過的，畢竟通過Microsoft AI-901認證考試需要相當過硬的專業知識。我們Fast2test是可以為你提供通過Microsoft AI-901認證考試捷徑的網站。我們Fast2test有針對Microsoft AI-901認證考試的培訓工具，可以有效的確保你通過Microsoft AI-901認證考試，獲得Microsoft AI-901認證考試證書。而且我們還可以幫你節約很多時間，這樣一個可以花更少時間更少金錢就可以獲得如此有價值的證書的方案對你是非常划算的。

最新的 Microsoft Certified: Azure AI Fundamentals AI-901 免費考試真題 (Q16-Q21):

問題 #16
Hotspot Question
Select the answer that correctly completes the sentence.

答案：

解題說明：


問題 #17
Your company processes customer support emails.
You need to implement an AI solution that automatically identifies mentions of people, organizations, and locations in the emails.
Which text analysis technique should you use?

答案：A

解題說明：
The adequate text analysis feature is Named Entity Recognition (NER), which is a core prebuilt capability of the Azure AI Language service.
Prebuilt Categorization: The prebuilt NER feature automatically parses unstructured text (like emails) to identify and group elements into standard classes, including Person, Organization, and Location.
No Training Required: Because it relies on state-of-the-art pretrained transformer models, it can be deployed immediately out-of-the-box without requiring data labeling or custom model training.
High Extensibility: If your emails contain highly specialized terms (such as proprietary product IDs or industry-specific roles), you can easily scale to Custom NER within the same architecture.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/overview


問題 #18
Capturing text from images is an example of which type of Al capability?

答案：C


問題 #19
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案：

解題說明：


問題 #20
Verifying that machine learning models do NOT show racial or gender bias is an example of which Microsoft responsible AI principle?

答案：D

解題說明：
Fairness and inclusiveness in Azure Machine Learning: The fairness assessment component of the Responsible AI dashboard enables data scientists and developers to assess model fairness across sensitive groups defined in terms of gender, ethnicity, age, and other characteristics.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2


問題 #21
......

AI-901 擬真試題含蓋真實的考試指南，保證考生順利通過 AI-901 考試。考生需要在一定的時間內完成所有的 Microsoft AI-901 考試測驗題，該考試隸屬于Microsoft 認證助理認證體系。考生可以先到考試中心去打聽這科考試的有關的情況。了解考試的流程，考試的注意事項。預約一個合適的時間去報名參加 AI-901 考試即可。

AI-901題庫: https://tw.fast2test.com/AI-901-premium-file.html