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Microsoft AI-900 Exam Syllabus Topics:

Section	Weight	Objectives
Artificial Intelligence workloads and considerations	15–20%	- Describe considerations for developing AI solutions - Identify types of AI workloads - Describe responsible AI principles
Features of Natural Language Processing (NLP) workloads on Azure	15–20%	- Describe capabilities of Azure Speech - Identify types of NLP solutions - Describe capabilities of Azure Language - Describe capabilities of Azure Translator
Features of generative AI workloads on Azure	20–25%	- Describe generative AI concepts - Describe use cases for generative AI - Describe capabilities of Azure OpenAI Service - Describe responsible AI practices for generative AI
Features of computer vision workloads on Azure	15–20%	- Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Face - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions - Describe capabilities of Azure Custom Vision
Fundamental principles of machine learning on Azure	15–20%	- Describe machine learning pipelines - Describe core concepts of machine learning - Describe capabilities of Azure Machine Learning - Describe automated machine learning

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Microsoft Azure AI Fundamentals Sample Questions (Q262-Q267):

NEW QUESTION # 262
What is a use case for classification?

A. analyzing the contents of images and grouping images that have similar colors
B. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
D. predicting how many minutes it will take someone to run a race based on past race times

Answer: C

NEW QUESTION # 263
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Explanation
Graphical user interface, text, application, email Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.

NEW QUESTION # 264
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.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/

NEW QUESTION # 265
Select the answer that correctly completes the sentence

Answer:

Explanation:

NEW QUESTION # 266
Match the types of computer vision 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.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

NEW QUESTION # 267
......

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