You have a Python application that extracts fields from invoices by using Azure Content Understanding in Foundry Tools
You submit a PDF for analysts.
What should the application do to retrieve the results?
Answer : A
Azure Content Understanding analysis operations are asynchronous long-running operations. Microsoft's Python SDK documentation states that analysis starts with a begin operation, then the application polls for results until analysis completes.
You are developing an application that summarizes customer comments by using Azure Language in Foundry Tools.
You need to install the Azure Language SDK.
Which Python package should you install?
Answer : B
You are developing an application that analyzes uploaded video files by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application extracts structured information from the videos.
What should the application call?
Answer : D
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?
Answer : C
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 : C
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:
What is an example of the Microsoft responsible Al principle of transparency?
Answer : C
The Microsoft responsible AI principle of transparency means AI systems should be understandable. Users should know when they are interacting with AI and should be able to understand the system's purpose, capabilities, limitations, and the basis for its decisions.
You deploy an Al system to assist with hiring decisions.
Company policy requires that human reviewers oversee Al-generated recommendations and remain responsible for final hiring
decisions.
Which Microsoft responsible Al principle is this an example of?
Answer : D
Requiring human reviewers to oversee AI-generated hiring recommendations and remain responsible for the final hiring decisions is an example of the Microsoft responsible AI principle of accountability.
Accountability means people and organizations remain responsible for AI systems, their decisions, and their effects. In this scenario, the AI system assists with recommendations, but humans retain oversight and responsibility for the final decision.