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Exam Microsoft AI-900 Practice, AI-900 New Braindumps Ebook

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Microsoft AI-900 Exam Syllabus Topics:

Topic
Details

Describe Artificial Intelligence workloads and considerations (20-25%)

Identify features of common AI workloads
- identify features of anomaly detection workloads
- identify computer vision workloads
- identify natural language processing workloads
- identify knowledge mining workloads

Identify guiding principles for responsible AI
- describe considerations for fairness in an AI solution
- describe considerations for reliability and safety in an AI solution
- describe considerations for privacy and security in an AI solution
- describe considerations for inclusiveness in an AI solution
- describe considerations for transparency in an AI solution
- describe considerations for accountability in an AI solution

Describe fundamental principles of machine learning on Azure (25-30%)

Identify common machine learning types
- identify regression machine learning scenarios
- identify classification machine learning scenarios
- identify clustering machine learning scenarios

Describe core machine learning concepts
- identify features and labels in a dataset for machine learning
- describe how training and validation datasets are used in machine learning

Describe capabilities of visual tools in Azure Machine Learning studio
- automated machine learning
- azure Machine Learning designer

The Microsoft AI-900 Exam covers a wide range of AI topics such as machine learning, natural language processing, computer vision, and cognitive services. It also focuses on the key Azure AI services, including Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service. These services are designed to enable developers to build intelligent applications that can analyze data, recognize speech and images, and interact with users.

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Microsoft Azure AI Fundamentals Sample Questions (Q49-Q54):

NEW QUESTION # 49
Select the answer that correctly completes the sentence.

Answer:

Explanation:
Explanation

NEW QUESTION # 50
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

NEW QUESTION # 51
You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

A. Computer Vision
B. Text Analytics
C. Face
D. Form Recognizer

Answer: C

NEW QUESTION # 52
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 53
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 Description automatically generated

Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

NEW QUESTION # 54
......

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