Microsoft Certified: Azure AI Apps and Agents Developer Associate — Requirements & Free Practice
US · License preparation
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Each license and applicant pathway has its own requirements and exemptions. Choosing practice questions does not determine your eligibility.
Microsoft Certified: Azure AI Apps and Agents Developer Associate
Microsoft certification validating expertise in designing, developing, and deploying advanced Azure AI solutions using Python and Microsoft Foundry.
Licensing authority: Microsoft · Application information
Initial by examination
- Applicability
- The April 16 announcement establishes the required AI-103 examination. Current certification and scheduling pages sustain that relationship at evaluation. Expired beta discount conditions and the announcement's prospective June launch wording are not current eligibility rules. No official start date for the certification or initial route is supplied, so both are null.
- Assessment
- The current certification page offers the exam in English and nine other listed languages; the scoped version here is English. The assessment is proctored and may have interactive components.
- Candidate Profile
- The issuer recommends Python application development experience and familiarity with general AI, generative AI and Azure services; this wording is not converted into a mandatory prior credential.
- Registration
- A Learn profile is used for registration; legal name must match legal ID. A personal Microsoft account is recommended. Request accommodations before scheduling. For online delivery, verify provider availability and run the required system pre-check.
- Scheduling
- Rolling appointments through Pearson VUE, subject to availability; at most two Microsoft Certification exams scheduled at once and no more than 90 days in advance.
Developing AI Apps and Agents on Azure
- Provider
- Pearson VUE
- Format
- Proctored certification examination; interactive components may be included.
- Time limit
- 120 minutes
- Passing score
- 700 or greater; Microsoft technical examination scaled scores range from 1 to 1,000, and 700 does not necessarily mean 70% correct.
- Exam fee
- Price based on the country or region in which the exam is proctored; no fixed US price is established by the retrieved page.
Examination outline
The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.
Plan and manage an Azure AI solution — Official range: 25–30% (Practice allocation: 28.21%)
- 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
Implement generative AI and agentic solutions — Official range: 30–35% (Practice allocation: 33.33%)
- Build generative applications by using Foundry
- Build agents by using Foundry
- Optimize and operationalize generative AI systems
Implement computer vision solutions — Official range: 10–15% (Practice allocation: 12.82%)
- Design and implement image- and video-generation solutions
- Design and implement multimodal understanding workflows
- Implement responsible AI for multimodal content
Implement text analysis solutions — Official range: 10–15% (Practice allocation: 12.82%)
- Apply language model text analysis
- Implement speech solutions
Implement information extraction solutions — Official range: 10–15% (Practice allocation: 12.82%)
- Build retrieval and grounding pipelines
- Extract content from documents
Examination sources
- AI-103 study guide
h1: Study guide for Exam AI-103
- AI-103 study guide
Purpose of this document
- AI-103 study guide
Skills measured: applicable objectives heading
- AI-103 study guide
Updates to the exam: illustrative bullets note
- AI-103 study guide
Updates to the exam: GA and Preview note
- AI-103 study guide
Skills at a glance: Plan and manage an Azure AI solution
- AI-103 study guide
Skills at a glance: Implement generative AI and agentic solutions
- AI-103 study guide
Skills at a glance: Implement computer vision solutions
- AI-103 study guide
Skills at a glance: Implement text analysis solutions
- AI-103 study guide
Skills at a glance: Implement information extraction solutions
- AI-103 certification page
Overview: Tip, AI-103 study guide
- AI-103 study guide
Purpose table: Exam scoring and score reports
- Exam scoring and score reports
How exams are scored: correctly answered components
- Exam scoring and score reports
Scores needed to pass exams: technical exams
- Exam scoring and score reports
How exams are scored: unscored questions
- AI-103 certification page
Take the exam: Exam policy
- AI-103 certification page
Take the exam: assessment duration
- Exam duration and exam experience
Exam duration: question counts
- Exam duration and exam experience
Question types on exams
- AI-103 certification page
Take the exam: scheduling provider
- Register and schedule an exam
How to register and schedule an exam: appointment limits
- Register and schedule an exam
How to register and schedule an exam: advance booking
- Register and schedule an exam
Step-by-step exam registration instructions, step 3
- AI-103 certification page
Take the exam: account recommendation
- Register and schedule an exam
Exam accommodations
- Register and schedule an exam
Online exam and test center options
- Register and schedule an exam
Run a system pre-check
- AI-103 certification page
Take the exam: offered languages
- AI-103 certification page
Take the exam: price
- AI-103 certification page
Overview: recommended experience