700 AI-103 practice test questions on Microsoft Foundry, agents, RAG and vision. Explanations that teach the topic, never the answer. 70% to pass.
700 practice questions for AI-103 Developing AI Apps and Agents on Azure, covering all five exam domains at their published weightings, with explanations written to teach the topic rather than restate the answer.700 AI-103 practice test questions for Microsoft Certified: Azure AI Apps and Agents Developer Associate, written to the skills measured as of 16 April 2026. AI-103 is the successor to AI-102, which retired on 30 June 2026, and it is a different paper rather than a renamed one: it is built around Microsoft Foundry, agents and grounding. AI-102 tested agents in a group worth 5 to 10 percent; on AI-103 they anchor the largest domain on the paper. Every question is tagged with the objective it tests, and the bank is weighed to match Microsoft's published domain split.
The audience profile assumes you develop in Python, and then the paper does not ask you to write any. What it asks, over and over, is which one and why: which class of model fits a described workload, which Foundry service does the grounding, which deployment option suits the load, which safety control catches the described failure, what a rate limit does to a batch job that shares a deployment with an interactive app. 404 of the 700 questions are written as a situation with a named team, engineer or organization in it rather than as a bare definition, and it is a stated constraint that decides the answer rather than a fact you can recall. That is the character of the exam, and it is also where preparation goes wrong. Anyone arriving from AI-102 revises service endpoints, resource keys and SDK method names, because that is what AI-102 rewarded. Very little of that is worth points here. What replaces it is judgment about a platform: what Foundry gives you, what it costs, what it logs, and what it stops.
AI-102 and the Azure AI Engineer Associate certification retired on 30 June 2026, and AI-103 leads to Azure AI Apps and Agents Developer Associate in its place. Treat it as a different exam rather than a refresh. The vocabulary carries over and so does most of your Azure knowledge, but the weight has moved. Agents were a 5 to 10 percent group on AI-102 and now anchor the largest domain on the paper, alongside orchestration, grounding and evaluation. Computer vision is image and video generation, editing and multimodal understanding, where AI-102 asked for image analysis, custom classification models, object detection, OCR and Video Indexer. Extraction is built on Content Understanding rather than Document Intelligence. And speech has not gone anywhere, it has simply ended up in a domain called text analysis, which is where people stop looking for it. One naming point is worth carrying into the exam room: the platform is Microsoft Foundry, and any material still calling it Azure AI Foundry predates December 2025.
That is a deliberate match for how the objectives are written: they ask you to choose, configure and govern, so a question that made you parse a code listing would be testing something the exam does not. The work is in constraint. A budget, a latency target, a compliance boundary, a quota, a language requirement or an audit obligation appears in the stem, and it is what separates two options that both look defensible.
Ask what agentic retrieval is, or when to ground a model instead of fine-tuning it, or what content filter blocks, while the clock is running. Exam Coach AI explains the concept, the distinction or the trap you just walked into, and it will not tell you which option to pick, which is the point. It is PrepifyLabs' own and it is tuned for AI-103 rather than being a general assistant bolted on, so it answers in the vocabulary this exam uses.
The audience expects familiarity with Azure services, and the exam takes that seriously. 196 questions, 28% of this bank, sit in a domain that is Azure administration applied to AI work: managed identity instead of keys, private networking, role policies, quotas and rate limits, cost footprint, and monitoring. If assigning a role, reading a metric or reasoning about a private endpoint is unfamiliar, that domain will cost you before you reach a single question about agents. Our AZ-104 Azure Administrator practice exam covers exactly that ground with 603 questions, and it is the sensible companion paper. If the design side is where you are weaker, AZ-305 Azure Solutions Architect covers architecture decisions across 700 questions.
You need 70% to pass, scored as the plain percentage of questions you answered correctly out of 100%. After you submit, results break down by domain and by objective, so revision starts from a measured weak area rather than a guess. Each sitting draws 60 questions from the pool of 700, which is eleven distinct sittings before repetition starts to matter.
40 of the 700 questions are open without buying, spread across all five domains at 11, 13, 6, 5 and 5, in the same proportions as the exam itself, so the free sample has the shape of the paper rather than being its easiest corner.
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