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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Features of computer vision workloads on Azure15–20%- Identify types of computer vision solutions
- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Face
- Describe capabilities of Azure Custom Vision
- Describe capabilities of Azure Form Recognizer
Topic 2: Fundamental principles of machine learning on Azure15–20%- Describe capabilities of Azure Machine Learning
- Describe core concepts of machine learning
- Describe machine learning pipelines
- Describe automated machine learning
Topic 3: Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Translator
- Describe capabilities of Azure Language
- Identify types of NLP solutions
- Describe capabilities of Azure Speech
Topic 4: Features of generative AI workloads on Azure20–25%- Describe responsible AI practices for generative AI
- Describe capabilities of Azure OpenAI Service
- Describe generative AI concepts
- Describe use cases for generative AI
Topic 5: Artificial Intelligence workloads and considerations15–20%- Describe considerations for developing AI solutions
- Identify types of AI workloads
- Describe responsible AI principles

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Microsoft Azure AI Fundamentals Sample Questions (Q218-Q223):

NEW QUESTION # 218
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/#features


NEW QUESTION # 219
You need to make the press releases of your company available in a range of languages.
Which service should you use?

Answer: B

Explanation:
The Translator Text service (part of Azure Cognitive Services) provides real-time text translation across multiple languages. According to Microsoft Learn's AI-900 module on "Identify features of Natural Language Processing (NLP) workloads", translation is one of the four main NLP tasks, alongside key phrase extraction, sentiment analysis, and language understanding.
In this scenario, the company wants to make press releases available in a range of languages, which requires converting text from one language to another while preserving meaning and tone. The Translator Text API supports more than 100 languages and can be integrated into web apps, chatbots, or content management systems for automatic multilingual publishing.
The other options perform different functions:
* Text Analytics (B) extracts insights such as key phrases or sentiment but does not translate.
* Speech (C) focuses on converting between speech and text, not text translation.
* Language Understanding (LUIS) (D) identifies user intent but does not perform translation.
Therefore, to provide multilingual press releases, the appropriate service is A. Translator Text, which ensures accurate, fast, and scalable translation across global audiences.


NEW QUESTION # 220
You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.
Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,C

Explanation:
Explanation
Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.
Reference:
https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/


NEW QUESTION # 221
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.

Answer:

Explanation:
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


NEW QUESTION # 222
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation

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


NEW QUESTION # 223
......

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