Microsoft AI-103 Exam Dumps

You have a Microsoft Foundry project that contains an agent and an image generation model deployment. The agent generates original images from user-supplied product photos. You need to ensure that the generated images maintain the product identity and visual characteristics of the provided photo. What should you do?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen. You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents. Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content. You need to improve response completeness. Solution: You run an evaluation flow that scores responses for completeness and blocks responses that fall below a defined threshold. Does this meet the goal? 

You have a Microsoft Foundry project that contains three agents as shown in the following table. Name Description TriageAgent Classifies incoming customer requests PolicyAgent Answers policy questions by searching internal content ActionAgent Creates or updates tickets by calling an HTTP API You need to orchestrate the agents to ensure that the customer requests meet the following requirements: • Support a deterministic, step-based process that uses conditional branching and shared state across the agents. • Optionally trigger a ticket action based on the triage result. The solution must minimize development effort. What should you include in the solution?  

You have a Microsoft Foundry project that contains a customer support agent. The agent calls an internal knowledge API tool before generating responses. Users report the following issues: • Some requests take more than 15 seconds to complete. • Some responses are incorrect, even when the knowledge API returns the expected data. You need to inspect individual agent runs to view the ordered sequence of large language model (LLM) calls, tool invocations, and timing information. Which observability capability should you use?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen. You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents. Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content. You need to improve response completeness. Solution: You add a reflection pass that regenerates the response if the required clauses are missing. Does this meet the goal? 

You have a Microsoft Foundry project that contains an agent. You need to process mixed-format documents that contain scanned text, tables, and multicolumn layouts. The extracted content must preserve the document structure and be converted into the Markdown format for downstream reasoning. What should you configure first? 

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen. You have a multimodal Al generative model that accepts image uploads and uses extracted image text to generate responses. You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model. You need to implement controls to mitigate the risk. Solution: You configure a prompt shield for documents. Does this meet the goal? 

You have a Microsoft Foundry project that contains a prompt agent used by a customer support web app. The agent is invoked from a Python service that does NOT run in the Foundry portal. You need to implement end-to-end tracing to capture latency breakdowns and exceptions across agent runs. Which two components can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

You have a Microsoft Foundry project named Project1 that contains the following: • An OpenAPI tool that calls an external API • A project connection named Connection1 that stores the API key of the external API When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent. You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests. What should you do?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen. You have a multimodal Al generative model that accepts image uploads and uses extracted image text to generate responses. You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model. You need to implement controls to mitigate the risk. Solution: You configure a prompt shield for user prompts. Does this meet the goal? 

You are deploying a support agent that enables users to upload photos. You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels. What should you do? 

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents. You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned. What should you do?

You have a Microsoft Foundry project that generates product marketing images from text prompts. After publishing several images, the legal team at your company identifies a competitor's logo on a sign in the background of an image. You need to remove only the logo, while preserving the rest of the image. What should you do? 

You need to configure an indexing pipeline for Agent1 to retrieve the relevant product information in storage1. The solution must meet the technical requirement. Which two built-in skills should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements. What should you do? 

You need to recommend an invoice review solution that resolves the issue reported by the finance department. What should you include in the recommendation?

You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements. What should you do? 

You need to configure Agent1 to meet the security and compliance requirements. What should you use? 

You need to recommend a solution to support the planned changes and technical requirements for Agent1 to use the product information stored in storage1. What should you include in the recommendation?