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AI-900題庫更新和認證考試材料中的領先提供商&AI-900認證題庫
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>> AI-900題庫更新 <<

下載AI-900題庫更新表示您已在通過Microsoft Azure AI Fundamentals的路上

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Microsoft AI-900 考試大綱:

主題簡介
主題 1
  • Describe features of computer vision workloads on Azure
  • Describe considerations for privacy and security in an AI solution
主題 2
  • Identify clustering machine learning scenarios
  • Automated Machine Learning UI tool
  • azure Machine Learning designer
主題 3
  • Identify features of image classification solutions
  • Identify features of common AI workloads
主題 4
  • Identify features of object detection solutions
  • identify features and labels in a data set for machine learning
主題 5
  • Identify conversational AI workloads Identify guiding principles for responsible AI
  • Identify prediction
  • forecasting workloads

最新的 Microsoft Certified: Azure AI Fundamentals AI-900 免費考試真題 (Q51-Q56):

問題 #51
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

答案:

解題說明:

Explanation
Graphical user interface, text, application Description automatically generated


問題 #52
To complete the sentence, select the appropriate option in the answer area.

答案:

解題說明:

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features


問題 #53
To complete the sentence, select the appropriate option in the answer area.

答案:

解題說明:

Explanation

Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features Speech recognition means Speech to Text. In the above example as a person speaks the words are converted into text of the same language. Hence Speech to Text also called Speech recognition is the right answer.
Speech recognition - the ability to detect and interpret spoken input.
Speech synthesis - the ability to generate spoken output.
https://docs.microsoft.com/en-us/learn/modules/recognize-synthesize-speech/1-introduction


問題 #54
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


問題 #55
To complete the sentence, select the appropriate option in the answer area.

答案:

解題說明:

Explanation

To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.
Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy


問題 #56
......

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AI-900認證題庫: https://www.newdumpspdf.com/AI-900-exam-new-dumps.html

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