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NEW QUESTION # 94
Match the principles of responsible Al to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the light. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
AI systems must consistently operate as intended, even under unexpected conditions. = Reliability and safety This description matches the Microsoft responsible AI principle of reliability and safety, which focuses on ensuring that AI systems behave consistently, safely, and as expected, including under unusual or unexpected conditions.
AI systems must protect and secure personal and business information. = Privacy and security This description matches the Microsoft responsible AI principle of privacy and security, which focuses on protecting personal, confidential, and business-sensitive information and preventing unauthorized access or misuse.
NEW QUESTION # 95
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: No
No, relying on a single method of user input does not provide an inclusive experience. True inclusivity requires supporting multiple interaction modes-such as text, voice, touch, and keyboard navigation-because a single-mode interface inevitably excludes users with specific physical, sensory, cognitive, or situational constraints.
Box 2: No
No, simply increasing the overall number of users does not automatically support an inclusive experience. Inclusive design requires that an AI system actively works for people of all backgrounds, abilities, and identities. High user volume can mask deep gaps where certain groups are left out or harmed.
Box 3: Yes
Designing an AI system for different languages supports inclusiveness by breaking down communication barriers, helping people access information easily, and making everyone feel welcome.
Equal Access: Everyone gets the same chance to use the system.
Clear Choices: Users can pick the language they know best.
Fair Treatment: No one is left out because of how they speak or write.
Reference:
https://www.mindinventory.com/blog/website-accessibility-best-practices/
NEW QUESTION # 96
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
The correct selection is AIProjectClient . In the Microsoft Foundry SDK, AIProjectClient serves as the primary project-level client for accessing and managing resources associated with a Foundry project.
Microsoft documentation specifically exposes operation groups through this client for deployments , agents , and indexes , which directly matches the requirements stated in the question.
For example, the SDK exposes deployments operations for working with models deployed to the project, agents operations for creating and managing agents, and indexes operations for accessing project search indexes. Microsoft also describes the Azure AI Projects client library as a unified Foundry SDK component that connects applications to project resources through a single project endpoint.
ChatCompletionsClient is focused primarily on model inference and chat-completion operations rather than comprehensive project-resource management. FoundryLocalManager is associated with local Foundry capabilities, while ModelCatalogClient would relate to model discovery/catalog functionality rather than deployments, agents, and indexes collectively.
Therefore, the class required for this scenario is AIProjectClient .
NEW QUESTION # 97
You plan to create an Al application that will use Azure OpenAI in Foundry Models. The solution requires that a specific amount of throughput be allocated.
Which type of deployment should you use?
Answer: B
Explanation:
Use a provisioned deployment when the solution requires a specific allocated amount of throughput.
Microsoft states that provisioned throughput is a deployment type that lets you specify the amount of throughput required for a model deployment. Unlike standard deployments, where capacity is shared and throughput can vary, a provisioned deployment holds a fixed amount of processing capacity for the deployment.
Why the other options are incorrect:
A). global batch is for asynchronous batch processing, not dedicated real-time throughput allocation.
B). data zone standard and D. standard use shared capacity; they do not allocate a fixed, specified amount of throughput to the deployment.
NEW QUESTION # 98
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each connect selection is worth one point.
Answer:
Explanation:
Explanation:
Statement 1: Using Azure Speech in Foundry Tools for batch transcription requires live audio input from a microphone. = No Batch transcription is used to process stored audio files, not live microphone input. Live microphone input is used for real-time speech recognition scenarios.
Statement 2: Azure Speech in Foundry Tools can analyze video frames to detect and label objects while transcribing audio. = No Azure Speech is for speech capabilities such as speech recognition, speech synthesis, and speech translation.
Detecting and labeling objects in video frames is a computer vision/video analysis capability, not an Azure Speech capability.
Statement 3: Speech translation in Azure Speech in Foundry Tools can translate spoken audio into text in another language. = Yes Speech translation converts spoken input in one language into translated text in another language.
NEW QUESTION # 99
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