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AI-900: Exploring the Key Features of Machine Learning

Discover the main features and capabilities of Machine Learning, including anomaly detection, automated ML, pipelines, and more. Learn how these elements drive the power of modern AI technology.

Table of Contents

Question

What are the main features and capabilities of Machine Learning?

Please select all options that apply.

A. Anomaly Detection
B. Pipelines
C. Object Detection
D. Automated machine learning
E. Azure Machine Learning designer
F. Text Analytics
G. Data and compute management

Answer

B. Pipelines
D. Automated machine learning
E. Azure Machine Learning designer
G. Data and compute management

Explanation

Microsoft Machine Learning is the foundation for Artificial Intelligence service. It includes four features and capabilities:

Automated machine learning – automated creation of ML models based on your data; doesn’t require any data science experience.
Azure Machine Learning designer – a graphical interface for no-code creation of the ML solutions
Data and Compute management – cloud-based tools for data science professionals,
Pipelines – visual designer for creating ML tasks workflow
Options A is incorrect. Anomaly Detection – is one of the key elements of Artificial Intelligence, and it is not a feature of Machine Learning.
Option C is incorrect. Object Detection – is one of the common tasks of Computer Vision and is not part of Machine Learning.
Options G is incorrect. Text Analytics – is a feature of Natural language processing and is not a part of Machine Learning.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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