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AI-900: Responsible AI in Azure ML Transparency Configuration in Automated ML Runs

Discover the significance of ‘Explain Best Model’ in Azure ML Studio’s Automated ML runs. Uncover how this configuration enhances AI transparency, providing insights into model decisions for responsible AI practices.

Table of Contents


What additional configuration reflects the responsible AI Transparency principle when creating a new Automated ML run in Azure ML Studio?

A. Enable Deep Learning
B. Explain best model
C. Exit criterion
D. Validation
E. Concurrency


B. Explain best model


The additional configuration reflecting responsible AI Transparency principle when starting a new Automated ML run in Azure ML Studio is:

B. Explain best model: This feature provides insights into the model’s decision-making process, offering transparency by explaining why a specific model was considered the best.

Microsoft recognizes six principles of responsible AI: Fairness, Reliability and safety, Privacy and security, Transparency, Inclusiveness and Accountability.

The Transparency principle helps people understand how to use an AI solution, its behavior, possibilities, and limitations.

By selecting the “Explain best model” option, we are imposing on an AI solution to be transparent and provide the logic and reasoning for choosing the best model.

All other options are incorrect.

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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