You are developing an AI-powered customer support application.Which task is an example of the Microsoft responsible AI principle of inclusiveness?
Answer(s): C
The inclusiveness principle states that AI systems should empower everyone and engage people. Designing for multiple languages and screen readers directly reflects this goal. Screen reader support ensures accessibility for people with visual impairments. Multi-language interfaces break down barriers for non-native speakers. Inclusive design proactively addresses physical, cognitive, and linguistic differences.
https://www.netguru.com/blog/fintech-app-accessibility
HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
Answer(s): A
Box: generative AI An AI workload that produces new content based on user input is an example of _______.An AI workload that produces new content based on user input is the definition of generative AI.Unlike traditional AI—which focuses on analyzing, classifying, or predicting existing data—generative AI models use advanced machine learning to create entirely new, original outputs.
https://www.sap.com/sea/resources/what-is-generative-ai
HOTSPOT (Drag and Drop is not supported)For each of the following statements, select Yes if the statement is true. Otherwise, select No.Note: Each correct selection is worth one point.Hot Area:
Box 1: No No - Fairness can be achieved by focusing solely on improving the overall accuracy of an AI model.Focusing solely on overall accuracy is not enough. An AI model can have high overall accuracy while consistently generating biased, discriminatory, or unequal outcomes for specific demographic groups.Box 2: Yes Yes - Evaluating AI system outputs to identify and reduce bias across demographic groups supports fairness.Evaluating AI outputs for bias supports fairness in Azure AI by ensuring models treat all demographic groups equitably. This practice identifies disparities in model behavior, allowing developers to mitigate unfairness and build more responsible, inclusive, and trustworthy AI systems.Box 3: No No - Ensuring fairness for an AI system means that all users always receive the same output from the system.In Azure AI, ensuring fairness does not mean all users always receive the same output.Fairness means ensuring the system provides equitable treatment and quality of service across different demographic groups, preventing bias based on characteristics like race, gender, age, or disability.
https://learn.microsoft.com/en-us/azure/machine-learning/concept-fairness-ml
You have a Microsoft Foundry project that contains a vision-enabled model deployment.You need to create a prompt that ensures the model produces a relevant and useful response.What should you include in the prompt?
Answer(s): B
A description of the task must be included in the prompt to ensure the model produces a relevant and useful response.A prompt's core purpose is to tell the model exactly what it needs to accomplish. To get a useful and relevant output, you must explicitly provide instructions, context, rules, or the objective of the task (such as "extract the total price from this receipt" or "describe the objects in this photo").
https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/deploy-foundry-models
Box: analyzes images to detect A multimodal model analyzes images to detect, recognize, and reason about objects by combining computer vision with natural language processing.
https://farukalamai.substack.com/p/object-detection-with-multimodal
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