AI-103, Developing AI Apps and Agents on Azure, replaced AI-102 in 2026 and put agents at the centre of the exam. This free readiness test samples questions across all five skills-measured domains — weighted by their published blueprint ranges — and tells you where you stand before you book the $165 exam.
~30 questions sampled across every exam domain, weighted by the official blueprint · no sign-up
AI-103 leads to the Microsoft Certified: Azure AI Apps and Agents Developer Associate credential, and its heaviest domain by some distance is Implement generative AI and agentic solutions at 30-35% — retrieval pipelines, tool-calling agents, multi-agent orchestration, evaluation and production guardrails. Unlike a flat practice quiz, this readiness test mirrors the blueprint: questions are drawn across the five domains in proportion to their published weight, so your score reflects what the exam actually emphasises. When you finish you get a readiness score from 0-100, a pass-likelihood band, and a per-domain breakdown showing your weakest areas (for example "weak in Plan and manage an Azure AI solution — 25-30% of the exam") so you know precisely what to study next. Fresh questions every attempt. No sign-up, no email required.
Easy, Medium, or Full readiness test. Each draws ~30 questions sampled across all 10 exam domains, weighted by the official blueprint.
One question at a time. Click an answer and get instant feedback with a full explanation.
See your readiness score (0–100), pass likelihood, and a per-domain breakdown of your weakest exam areas.
AI-103, Developing AI Apps and Agents on Azure, leads to the Microsoft Certified: Azure AI Apps and Agents Developer Associate credential. It validates building, managing and deploying AI solutions and agents on Azure using Python and Microsoft Foundry. The exam runs 120 minutes, costs $165 USD, and requires a scaled score of 700 out of 1000 to pass.
Yes. AI-102 and the Azure AI Engineer Associate certification retired on 30 June 2026. AI-103 replaced them and rebuilt the role profile around what AI engineers ship now — retrieval pipelines, tool-calling agents, multi-agent orchestration and production guardrails — making generative AI and agentic solutions the heaviest domain at 30-35%.
Most practice sites give you a flat question dump. This readiness test is weighted to the published blueprint — a domain worth 30-35% of the exam counts far more than one worth 10-15% — so your readiness score and weak-area breakdown reflect where you would actually gain or lose marks.
A number from 0-100 with a band: 85-100 Exam Ready, 70-84 Almost Ready, 50-69 At Risk, 0-49 Not Ready. Each band comes with a pass-likelihood estimate and a per-domain accuracy breakdown. Microsoft requires a scaled 700 of 1000 on the real exam, so aim comfortably clear rather than at the line.
Take AI-103 if you build on Azure with Python. Take NCP-AAI if you do not — only 7% of its blueprint is NVIDIA-specific, so the rest transfers across stacks. They overlap less than the names suggest: roughly a third of AI-103 covers computer vision, text analysis and information extraction workloads that NCP-AAI does not test at all.
Completely free, no account needed. Pick the test, answer the questions, and get your domain-weighted readiness score instantly.
Free. No sign-up. Results in under 20 minutes.