Microsoft · AI-103 · Associate
Developing AI Apps and Agents on Azure (AI-103) — Preguntas de práctica y simulacro de examen
Practica preguntas reales de AI-103, sin dumps. Alex explica cada respuesta y tu Readiness Score te dice cuándo estás listo para aprobar.
Verificado con Microsoft · julio de 2026Versión actual del examen
Resumen
Sobre el examen
Exam AI-103, Developing AI Apps and Agents on Azure, leads to the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification. It is the successor to AI-102, which retires on 30 June 2026, and shifts the focus from wiring up pre-built Azure AI services to building generative AI applications and multi-agent solutions on Microsoft Foundry.
The exam targets Azure AI engineers who design, build, deploy, and operate AI apps and agents using Foundry, Azure OpenAI models, Azure AI Search, Azure AI Content Understanding, and the Azure AI Language, Vision, and Speech capabilities. You are expected to develop in Python and to understand generative AI patterns such as retrieval-augmented generation (RAG), tool calling, agent orchestration, and responsible AI.
Dominios del examen
Qué entra en el examen
Expect roughly 40 to 60 questions in about 120 minutes. Item types include single-answer multiple choice, multiple-response (select all that apply), and drag-and-drop ordering or mapping, with scenario-based stems that ask you to apply two or more concepts together. The score is reported on a 1 to 1000 scale and 700 is required to pass. AI-103 is a beta/early exam built on Microsoft Foundry, so questions emphasise generally available features and only cover preview features that are commonly used.
Choose appropriate Microsoft Foundry services and models, set up and deploy AI solutions, manage/monitor/secure AI systems, and implement responsible AI across generative and agentic systems.
Build generative apps with Foundry (RAG, tool-augmented flows), build agents (roles, function-calling, memory, multi-agent orchestration), and optimize and operationalize generative AI systems.
Image and video generation and editing, multimodal understanding and captioning, video analysis, and responsible AI for multimodal content.
Language-model text analysis (entities, sentiment, translation, custom outputs) and speech solutions (speech-to-text, text-to-speech, speech as an agent modality).
Build retrieval and grounding pipelines (semantic, hybrid, and vector search; RAG ingestion) and extract content from documents with Content Understanding.
Formato
Qué esperar
Ojo con esto
Dónde se atascan los candidatos
The most common trap is answering from older AI-102 knowledge. Multi-agent orchestration in the new Foundry Agent Service uses workflows, the Microsoft Agent Framework, and the agent-to-agent (A2A) tool — the classic Connected Agents tool is deprecated and is not part of the new service. Other frequent mistakes: reaching for fine-tuning when retrieval (RAG with Azure AI Search hybrid or vector search) is the grounded answer; putting API keys in config instead of using managed identity and keyless credentials; confusing Azure AI Document Intelligence with Azure AI Content Understanding for multimodal extraction; and forgetting responsible-AI instrumentation (content filters, safety evaluators, trace logging and provenance) that the exam explicitly tests.
- 01Connected Agents vs Foundry workflows — Classic Connected Agents is deprecated and absent from the new Foundry Agent Service; orchestrate multiple agents with Foundry workflows, the Microsoft Agent Framework, or the A2A tool.
- 02RAG before fine-tuning — Ground responses with retrieval (Azure AI Search hybrid/vector search) rather than fine-tuning when the goal is adding domain knowledge or reducing fabrications.
- 03Keyless, managed-identity auth — Secure Foundry resources with managed identity, private networking, and keyless credentials instead of storing API keys.
- 04Content Understanding vs Document Intelligence — Use Azure AI Content Understanding for multimodal extraction and grounded RAG inputs; do not assume Document Intelligence covers video/audio.
- 05Responsible AI is tested — Know content filters, safety evaluators, risk detection, trace logging, and provenance metadata as first-class exam topics, not afterthoughts.
- 06GA over preview — Answer for generally available behaviour; preview features appear only when commonly used.
Detalles
Logística del examen
The exam is delivered through Pearson VUE at a test center or as an online-proctored exam. A passing score is 700 on a 1 to 1000 scale. Microsoft associate certifications expire after one year and are renewed for free by passing a short online renewal assessment on Microsoft Learn. After a failed first attempt you must wait 24 hours before retaking; longer waits apply to subsequent attempts, with a limit of five attempts in a 12-month period.
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