Developing AI Apps and Agents on Azure (AI-103) Practice Test
Gana confianza para Developing AI Apps and Agents on Azure (AI-103). Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.
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Practice building and managing AI solutions on Azure while you prepare for the Developing AI Apps and Agents on Azure AI-103 Practice Test. Through scenario-based questions, you can strengthen your understanding of planning and managing an Azure AI solution, implementing generative AI and agentic solutions, and working with computer vision, text analysis, and information extraction. Each practice session is a manageable next step toward applying these skills with more confidence.
Temario 1.0
Preguntas de Muestra
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240 de 247 respuestas incluyen una referencia verificable.
An organization already uses Azure AI Foundry models but has not set up any Foundry projects. They want to deploy and manage these models through the REST API. Which deployment approach is most suitable?
A company has deployed an AI agent to handle customer inquiries. The agent's performance has been inconsistent, with occasional incorrect responses. As the solution architect, you need to ensure reliability and drive continuous improvement. What should you do?
A developer is building an application that uses the Computer Use model to automate a web-based workflow. The application sends an API request with a user instruction, receives a response containing an action, executes the action on the computer, and then sends a screenshot back to the model. What is the primary purpose of sending the screenshot in each iteration?
A developer needs to quickly identify the main points in a collection of unstructured text documents. Which Azure AI capability should they use?
A developer is migrating a repository from the Chat Completions API to the Responses API and encounters an authentication error when calling the Azure OpenAI service. Where should they seek help for this issue?
Qué temas cubre este examen
Usa las ponderaciones publicadas de los dominios para planificar tu estudio. Los resultados de práctica no predicen tu puntuación en el examen de certificación.
01Implement generative AI and agentic solutions
Temas
- Build generative applications by using Foundry
- Build agents by using Foundry
- Optimize and operationalize generative AI systems
Objetivos de aprendizaje
- Build generative applications by using Foundry
- Build agents by using Foundry
- Optimize and operationalize generative AI systems
02Plan and manage an Azure AI solution
Temas
- Choose the appropriate Foundry services for generative AI and agents
- Set up AI solutions in Foundry
- Manage, monitor, and secure AI systems
- Implement responsible AI across generative AI and agentic systems
Objetivos de aprendizaje
- Choose the appropriate Foundry services for generative AI and agents
- Set up AI solutions in Foundry
- Manage, monitor, and secure AI systems
- Implement responsible AI across generative AI and agentic systems
03Implement computer vision solutions
Temas
- Design and implement image- and video-generation solutions
- Design and implement multimodal understanding workflows
- Implement responsible AI for multimodal content
Objetivos de aprendizaje
- Design and implement image- and video-generation solutions
- Design and implement multimodal understanding workflows
- Implement responsible AI for multimodal content
04Implement information extraction solutions
Temas
- Build retrieval and grounding pipelines
- Extract content from documents
Objetivos de aprendizaje
- Build retrieval and grounding pipelines
- Extract content from documents
05Implement text analysis solutions
Temas
- Apply language model text analysis
- Implement speech solutions
Objetivos de aprendizaje
- Apply language model text analysis
- Implement speech solutions