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Microsoft · Exam reference
About the Microsoft AI-103 exam
Microsoft AI-103 replaced AI-102 as the current Azure AI Apps and Agents Developer Associate exam. It tests Python-based development of generative AI applications and autonomous agents using Microsoft Foundry, alongside computer vision, text analysis, and information extraction. This course covers all five exam domains with practice questions weighted to the official blueprint.
10
Sample questions
100 min
Exam time limit
70%
Passing score
$165
Exam voucher
AI-103 is Microsoft's current certification for engineers who build generative AI applications and autonomous agents on Azure. It replaced AI-102 in mid-2026 as Microsoft shifted its AI certification track toward agentic development, and the content reflects that shift: nearly a third of the exam covers building and orchestrating agents with Microsoft Foundry, not just calling a single model endpoint. Candidates coming from AI-102 or general Azure experience often underestimate how much of AI-103 sits outside plain prompt-response work. The exam expects you to design multi-agent orchestration patterns, implement retrieval-augmented generation pipelines with proper grounding, and reason about agent memory and tool-calling schemas, not just describe what RAG is. A second common gap is responsible AI: the exam tests concrete implementation, such as configuring content filters, detecting prompt injection through embedded image text, and setting up trace logging for agent auditing, rather than general principles. The exam also spans computer vision, text analysis, and information extraction, so a candidate who is strong on generative AI but has not touched Content Understanding pipelines or Azure AI Search's hybrid and vector search options will lose points outside their comfort zone. This course maps every practice question to one of the five official exam domains at their published weighting, so time spent studying tracks time spent being tested. Explanations point to the Foundry service or SDK pattern behind each answer, not just which option is correct.
Exam Domains Covered
Exam Format & Details
50 questions in a 100-minute associate exam (standard Microsoft associate format; Microsoft does not publish question types or lab presence in advance for any exam). Passing score is 700 out of 1000, which is 70%. Voucher price is $165 USD, standard Associate/Expert pricing. Book through Pearson VUE from your Microsoft Learn profile.
Why Practice Questions Matter
AI-103 tests implementation details that are easy to skim past in documentation: which Foundry service handles vector search versus hybrid search, how agent memory and tool schemas fit together, and where responsible AI controls actually get configured versus just described. Practice questions surface these gaps before exam day, when guessing costs a retake fee and another 100 minutes. Working through domain-weighted questions also corrects a common study mistake: spending equal time across all five domains when generative AI and agentic solutions alone make up roughly a third of the exam.
Sample Practice Questions
The following questions are a preview of the type of syllabus-aligned questions you will practise in CertCrush. They reflect the format and reasoning style of the Microsoft AI-103 exam — not actual exam content.
Q1.A private endpoint is best described as:
- A.A billing boundary for provisioned throughput capacity
- B.A network interface that gives a resource a private IP address inside a virtual network, removing exposure to the public internet
- C.A type of content safety severity level
- D.A public-facing API gateway with no authentication
Domain: Plan and manage an Azure AI solution
Q2.Which combination represents the preferred authentication approach for service-to-service calls into Foundry models and agents?
- A.Shared connection strings emailed between team members
- B.Static API keys stored in application code
- C.Hardcoded passwords in a configuration file
- D.Managed identity with keyless authentication
Domain: Plan and manage an Azure AI solution
Q3.Prompt injection detection is especially important for agentic systems because:
- A.It only applies to code models
- B.It is the only control that prevents model drift
- C.It replaces the need for any role-based access control configuration
- D.An agent that retrieves untrusted content, such as a webpage or document, can be manipulated by instructions hidden inside that content, not just by a user typing directly into a chat box
Domain: Plan and manage an Azure AI solution
Q4.Why does a RAG implementation commonly retrieve three to five chunks instead of only the single top-ranked match?
- A.It gives the model enough candidate material to judge which retrieved content actually applies
- B.It guarantees zero fabrication in the final answer
- C.It is required by the embedding model's API format
- D.It reduces the total token cost of the request
Domain: Implement generative AI and agentic solutions
Q5.When retrieval quality is poor in a RAG pipeline, what is the ceiling this places on the overall system's output quality?
- A.Generation cannot exceed the quality of the context it was actually given
- B.Generation quality is entirely independent of retrieval quality
- C.A larger model always compensates fully for poor retrieval
- D.Retrieval quality only affects latency, not answer accuracy
Domain: Implement generative AI and agentic solutions
Frequently Asked Questions
What is included in the free Microsoft AI-103 sample?
The free sample includes 10 syllabus-aligned practice questions, sample flashcards, and a preview chapter from the study guide. No account or payment is required to try the sample.
How many questions are in the full Microsoft AI-103 course?
The full course includes a comprehensive question bank covering all exam domains. You can see the total question count on the Microsoft AI-103 course page.
Are these official Microsoft exam questions?
No. CertCrush questions are independently written and syllabus-aligned — they mirror the format, difficulty, and reasoning style of the official exam. We are not affiliated with or endorsed by Microsoft.
Which domains does the Microsoft AI-103 course cover?
The course covers 5 exam domains: Plan and manage an Azure AI solution, Implement generative AI and agentic solutions, Implement computer vision solutions, Implement text analysis solutions, Implement information extraction solutions.
Can I study on mobile?
Yes. CertCrush is fully responsive and works on phones, tablets, and desktops. The timed exam, flashcards, and study guide all work on mobile without installing an app.
What happens when I create an account?
Creating a free account lets you access full courses, track your weak areas by domain, and resume practice sessions across devices. No credit card is required to register.