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Mit der Ankunft der Informationsepoche im 21. Jahrhunderts wird das Microsoft AI-900 Zertifikat auch unerlässlich in der IT-Branche. Ob Sie ein Anfänger oder ein Pendler sind, können Sie Ihre erwünschte Ergebnisse nur mit Häflte der Bemühungen von anderen erzeilen, denn es gibt bei Fast2test für Sie maßgeschneidete Fragenkataloge zur Microsoft AI-900 Zertifizierungsprüfung. Fast2test wird Ihnen begleiten, für den Traum zu kämpfen. Worauf warten Sie noch?
| Section | Weight | Objectives |
|---|---|---|
| Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
| Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
Die Microsoft AI-900 Zertifizierungsprüfung ist zur Zeit sehr beliebt bei den IT-Fachleuten. Durch die Microsoft AI-900 Zertifizierungsprüfung werden Ihre Lebens-und Arbeitsverhältnisse verbessert. Daneben wird Ihre Position in der IT-Branche gefestigt.
21. Frage
To complete the sentence, select the appropriate option in the answer area.
Antwort:
Begründung:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Identify features and uses of speech capabilities", speech recognition refers to the process of converting spoken words into written text. When a speaker's voice is transcribed into subtitles during a presentation, the system listens to the audio input, identifies the spoken words, and generates corresponding text in real time. This is precisely what speech recognition technology accomplishes.
Azure provides this functionality through the Azure Speech Service, which supports multiple speech-related features:
* Speech-to-Text (Speech Recognition) - Converts spoken audio into text.
* Text-to-Speech (Speech Synthesis) - Converts written text into spoken audio.
* Speech Translation - Translates spoken words into another language.
In this case, the session is transcribed into subtitles in the same language, not translated or spoken aloud, so the correct feature is Speech Recognition.
Let's review the other options:
* Sentiment Analysis: This belongs to the Text Analytics service under natural language processing (NLP) and is used to determine the emotional tone of text, not to convert speech to text.
* Speech Synthesis: Converts text into audible speech (Text-to-Speech), the reverse of what is happening in this scenario.
* Translation: Converts spoken or written words from one language to another. Here, no translation is mentioned-only transcription.
Therefore, the described process-turning live spoken language into readable subtitles-is an example of Speech Recognition, a speech-to-text AI capability provided by Azure Cognitive Services.
Final answer: Speech recognition
Reference:Microsoft Learn - Identify speech capabilities of Azure AI services (AI-900 Learning Path)
22. Frage
Which Computer Vision feature can you use to generate automatic captions for digital photographs?
Antwort: A
23. Frage
You have a frequently asked questions (FAQ) PDF file.
You need to create a conversational support system based on the FAQ.
Which service should you use?
Antwort: B
Begründung:
Section: Describe features of conversational AI workloads on Azure
Explanation:
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi- structured content, including FAQs, manuals, and documents.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/
24. Frage
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Antwort:
Begründung:
Explanation:
Graphical user interface, text, application, chat or text message Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines
25. Frage
You have a frequently asked Questions (FAQ) PDF file.
You need to create a conversational support system based on the FAQ. Which service should you use?
Antwort: B
Begründung:
QnA Maker is a cloud-based API service that lets you create a conversational Question:-and-answer layer over your existing data. Use it to build a knowledge base by extracting Questions and answers from your semi- structured content, including FAQs, manuals, and documents.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/
26. Frage
......
Microsoft AI-900 ist eine der wichtigsten Zertifizierungsprüfungen. Im Fast2test bearbeiten die IT-Experten durch ihre langjährige Erfahrungen und professionellen IT-Know-how Lernmaterialien, um den Kandidaten zu helfen, die AI-900 Zertifizierung erfolgreich zu bestehen. Mit den Lernmaterialien von Fast2test können Sie 100% die Microsoft AI-900 Prüfung bestehen. Außerdem bieten wir Ihnen auch einen einjährigen kostenlosen Update-Service.
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