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Avoid expensive retake fees by preparing with our reliable AI-103 dumps. Actual4Labs offers 159 realistic exam questions covering the latest 2026 Microsoft Developing AI Apps and Agents on Azure syllabus, complete with a free demo.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure |
| Exam Number: | AI-103 |
| Certificate Validity Period: | 1 year |
| Exam Price: | $165 USD |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple choice, Case study, Scenario-based, Hands-on labs |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Passing Score: | 700 |
| Related Certifications: | Microsoft Certified: Azure AI Apps and Agents Developer Associate |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or test center |
| Pre Condition: | Experience with Python programming and familiarity with Azure AI services, generative AI, and Microsoft Foundry is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103 |
| Section | Weight | Objectives |
|---|---|---|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
The AI-103 exam is a core requirement for the Azure AI Engineer Associate certification at the Associate level. Earning this validates your skills for credentials like Microsoft Certified: Azure AI Apps and Agents Developer Associate.
Candidates will face 40-60 questions and have 100 minutes to complete the exam. This means you need strict time management. We strongly recommend taking timed practice tests to ensure you can maintain a steady pace without rushing when under actual exam time pressure.
The official examination fee is $165 USD, and you must achieve a score of 700 to pass. Since retaking the test requires paying the full fee again, utilizing accurate practice materials for thorough self-assessment beforehand is crucial to protect your investment.
Candidate requirements include: Experience with Python programming and familiarity with Azure AI services, generative AI, and Microsoft Foundry is recommended.. Please verify all eligibility details on the official certification page before scheduling your appointment.
Absolutely. A free PDF demo is available for you to evaluate the quality of our questions. Once purchased, you receive 365 days of free updates. If your access expires, you can renew it at a 50% discount to keep your materials current.
Your AI-103 practice materials are delivered instantly. You can download them right away, and a copy will be sent to your email within one minute (contact support if not received in 2 hours). You can install the software on an unlimited number of computers. We also offer a 100% Money Back Guarantee: if you fail the corresponding exam within 60 days of purchase, you can claim a full refund. To apply, submit your enrollment slip and official Score Report PDF within 2 days after taking the test (processing takes up to 7 days). Note: failures within 3 days of purchase, downloaded but unattempted exams, free materials, and expired orders are excluded. The payer's name must match the candidate's name. Alternatively, you can exchange your order for two free exams of equal value and keep the original product's updates.
The syllabus is divided into 5 main domains. Key areas include "Implement generative AI solutions" (25-30%), "Implement computer vision solutions" (10-15%), "Implement text analysis and information extraction solutions" (10-15%). For a comprehensive breakdown of all measured skills, please review the complete exam outline table provided above.
Question 1
You have a Microsoft Foundry project named Project1 that contains the following:
- An OpenAPI tool that calls an external API
- A project connection named Connection1 that stores the API key of the external API When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent.
You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?
A. Connect the tool to Connection1.
B. Configure the tool to use the default connection of Project1.
C. Add the API key header manually to the OpenAPI specification.
D. Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
Question 2
You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced comprehension and learning differences, such as dyslexia. The solution must minimize development effort.
Which Azure service should you include in the solution?
A. Azure Language in Foundry Tools
B. Azure Document Intelligence in Foundry Tools
C. Azure Translator in Foundry Tools
D. Azure AI Immersive Reader
Question 3
Hotspot Question
You have a Microsoft Foundry project that contains an agent.
The agent uses a stored access key to retrieve secrets from an Azure key vault, which violates a keyless-credentials requirement.
You need to ensure that the agent can retrieve the secrets. The solution must follow the principle of least privilege.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 4
You have a Microsoft Foundry project that contains an agent.
The agent uses Azure AI Search for Retrieval Augmented Generation (RAG).
You plan to ingest and index PDF product manuals.
You need to build a solution that supports semantic similarity matching. The solution must ensure that the agent retrieves relevant data when user questions use different wording than the product manuals.
Which indexing approach should you use?
A. analyzers
B. semantic ranking
C. suggesters
D. vector search
Question 5
You are building a chatbot.
You need to ensure that the chatbot can classify user input into separate categories. The categories must be dynamic and defined at the time of inference.
Which service should you use to classify the input?
A. Azure AI Language custom text classification
B. Azure AI Language custom named entity recognition (NER)
C. Azure OpenAI text summarization
D. Azure OpenAI text classification
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: Only visible for members | Question 4 Answer: D | Question 5 Answer: D |
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