The two responsible AI principles that are relevant to ensuring equitable results regardless of the user's location or background are fairness and inclusiveness. Fairness involves ensuring that the AI systems do not discriminate and provide equitable results for all users, minimizing biases related to characteristics such as location and background. Inclusiveness is about designing systems that are accessible and usable by the widest possible range of people, considering diverse characteristics and backgrounds. These principles help in monitoring the system to ensure it treats all users equally and does not exclude any particular group.





To create an Azure Cognitive Service resource for generating captions of images automatically, the Computer Vision service is the appropriate choice, as it includes pre-built capabilities for image analysis, including caption generation. Furthermore, the F0 tier indicates a free tier for the service, which matches the requirement of creating a free Azure resource. Therefore, the correct invocation of the method is to use the ComputerVision kind with the F0 account tier in the specified location, which corresponds to the correct option.
The HTTP POST request targets the Azure Cognitive Services account and specifies Key2 in the body. This means the operation is intended to regenerate the secondary subscription key, commonly referred to as Key2. Regenerating a key essentially means resetting the key, producing a new key value and invalidating the old one. There is no indication that this process involves generating a new query key or involves Azure Key Vault. The request is clearly for the secondary subscription key, making the correct answer that the secondary subscription key was reset.