C is correct. https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/7-understand-responsible-ai

this was in my exam yesterday, May 31

Among the options: A. Ensure that all visuals have an associated text that can be read by a screen reader focuses on accessibility but doesn’t directly address transparency. B. Enable autoscaling is related to system performance but not transparency. C. Provide documentation to help developers debug code is essential for maintainability but doesn’t specifically enhance transparency. D. Ensure that a training dataset is representative of the population is crucial for fairness and transparency. Best Choice: D. Ensure that a training dataset is representative of the population is directly tied to transparency. A representative dataset helps avoid bias and ensures the model generalizes well to unseen examples.

The Microsoft transparency principle for responsible AI requires that AI systems are understandable by users and operators. Therefore, the task that directly aligns with this principle is: D. Ensure that a training dataset is representative of the population. This helps to ensure that the AI system’s decisions are fair and unbiased, which is a key aspect of transparency. Option A, while important for accessibility, does not directly relate to the transparency of an AI system. Option B is more about the performance and scalability of the system, and option C, while important for maintainability, does not directly contribute to the transparency of the AI system from the user’s perspective. Therefore, the most appropriate answer is D.

in exam 29 Dec 2023

contact for full questions [email protected]

this question appeared in Exam on 9/17/23

C is correct.

Obv is C

Don't forget this statement at the beginning of the question. "You are building an AI system." So C is correct.

C is the answer

C is the answer. https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#transparency Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way. Snapshots within Azure Machine Learning workspaces support transparency by recording or retraining all training-related assets and metrics involved in the experiment.

C is corret

C is correct

C is correct. The transparency principle states that AI systems must be designed in such a way that users are made fully aware of the purpose of the systems, how they work, and which limitations can be expected during use.

correct

found in exam 19-Mar-2023 Answer C