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AI-900: Responsible AI Managing Unusual Inputs for System Reliability

Explore how Microsoft’s reliability and safety principle in responsible AI addresses handling unusual or missing values, ensuring system reliability and safety in diverse data scenarios.

Table of Contents


To complete the sentence, select the appropriate option in the answer area.

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft __________ principle for responsible AI.

A. inclusiveness
B. privacy and security
C. reliability and safety
D. transparency


C. reliability and safety


The handling of unusual or missing values aligns with the Microsoft guiding principle for responsible AI, option C: reliability and safety. It involves ensuring the system can manage unexpected inputs, preserving reliable and safe operations despite anomalies or missing data.

Reliability and safety: AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process. An AI system’s performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model’s performance and retrain it, as necessary, to modernize it.

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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