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Microsoft AI-103 exam : Developing AI Apps and Agents on Azure

AI-103 Exam Questions
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Oct 15, 2026
  • Q & A: 159 Questions and Answers
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Microsoft AI-103 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Apps and Agents on Azure
Exam Number:AI-103
Exam Format:Scenario-based, Hands-on labs, Case study, Multiple choice
Related Certifications:Microsoft Certified: Azure AI Apps and Agents Developer Associate
Exam Price:$165 USD
Passing Score:700
Real Exam Qty:40-60
Exam Duration:100 minutes
Certificate Validity Period:1 year
Available Languages:English
Sample Questions:Microsoft AI-103 exam 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

Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement agentic solutions20-25%- Manage agent operations
  • 1. Implement scalable deployments
  • 2. Secure agent interactions
  • 3. Monitor and debug agents
- Build AI agents
  • 1. Create autonomous and multi-agent workflows
  • 2. Integrate tools and external knowledge
  • 3. Configure memory and orchestration
Topic 2: Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Extract entities and structured data
  • 2. Implement natural language processing
  • 3. Use document intelligence services
Topic 3: Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Configure content filters and safety
  • 2. Evaluate responses and grounding
  • 3. Implement multimodal AI capabilities
- Develop generative AI applications
  • 1. Use Azure OpenAI and Foundry models
  • 2. Implement prompt engineering
  • 3. Build retrieval-augmented generation solutions
Topic 4: Implement computer vision solutions10-15%- Analyze visual content
  • 1. Use multimodal vision APIs
  • 2. Process images and video
  • 3. Implement OCR and visual understanding
Topic 5: Plan and manage Azure AI solutions25-30%- Manage AI solution lifecycle
  • 1. Monitor model and application performance
  • 2. Apply responsible AI practices
  • 3. Implement CI/CD for AI applications
- Plan Azure AI resources
  • 1. Manage deployments and monitoring
  • 2. Select Azure AI services and Foundry resources
  • 3. Configure authentication and security

Microsoft Developing AI Apps and Agents on Azure FAQ: Tips, Versions, and Guarantees

Microsoft Developing AI Apps and Agents on Azure is an official Microsoft exam, catalogued under exam code AI-103. Passing it awards the Azure AI Engineer Associate certification at the Associate level. It also connects with Microsoft Certified: Azure AI Apps and Agents Developer Associate. It is built for candidates with ambitious aims, and the credential it grants is recognized accordingly.

Microsoft Developing AI Apps and Agents on Azure spans 5 official domains, led by Implement generative AI solutions (25-30%), Implement agentic solutions (20-25%), and Plan and manage Azure AI solutions (25-30%). The complete outline sits above; before getting down to business, look through the whole contents quickly so every later practice session has context.

The Microsoft Developing AI Apps and Agents on Azure exam presents 40-60 questions within 100 minutes. A practical tip from successful candidates: mark the most difficult questions during practice, exchange notes on them with friends, and repeat them until they stop being difficult. The TorrentExam engine makes that loop fast, and the clock stops being a threat.

Passing Microsoft Developing AI Apps and Agents on Azure requires 700, and official registration costs $165 USD. Retakes bill the full $165 USD again, so verify readiness before booking: when your TorrentExam practice scores clear the requirement repeatedly, including on questions you once marked as difficult, you are ready.

Experience with Python programming and familiarity with Azure AI services, generative AI, and Microsoft Foundry is recommended.

Requirements change from time to time, so confirm the current conditions before registering on the official exam page.

Yes, a free demo of the Microsoft Developing AI Apps and Agents on Azure questions is available before purchase. Afterward, you can track freshness by the updating version number on the website, and whenever questions change we instantly email the details to you, free for 365 days. We even keep sending the latest questions after you pass, so you can follow every tiny change. After expiry, extending updates costs 50% of the regular price.

Your purchase carries a 100% money-back guarantee under clear conditions. Take the Microsoft Developing AI Apps and Agents on Azure exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, keeping the update service on your original purchase.

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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question #1

In Azure AI Studio, you use Completions playground with the GPT-35 Turbo model.
You have a prompt that contains the following code.
function F(n)
{
var f = [0, 1];
for (var i = 2; i < n; i++) f[i] = f[i-1] + f[i-2];
return f;
}
You need the model to create an explanation of the code. The solution must minimize costs.
What should you do?

  • A. Change the model to GPT-4-32k.
  • B. Add function F(explanation) to the prompt.
  • C. Add // what does function F do? to the prompt.
  • D. Set the temperature parameter to 1.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).

Question #2

You are building a voice agent for a pharmacy. It must accept spoken questions, reply with synthesised speech, and accurately recognise specialised medicine names that a general speech model often mishears. Which capability should you configure?

  • A. Only the default text-to-speech voice
  • B. Azure Translator to convert the audio
  • C. Azure AI Document Intelligence on the audio stream
  • D. A custom speech model for speech-to-text within the agent
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).

Question #3

You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?

  • A. Vision Studio in Azure AI Vision
  • B. Visual Studio
  • C. Azure AI Content Safety Studio
  • D. Azure AI Studio
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).

Question #4

You have a Microsoft Foundry project that contains an agent.
The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.
The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.
You plan to call Azure Content Understanding in Foundry Tools.
You need to extract content and layout elements and detect QR codes without requiring a language model deployment.
Which built-in analyzer should you use?

  • A. prebuilt-documentFieldSchema
  • B. prebuilt-documentSearch
  • C. prebuilt-read
  • D. prebuilt-layout
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).

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 OpenAI text classification
  • B. Azure OpenAI text summarization
  • C. Azure AI Language custom named entity recognition (NER)
  • D. Azure AI Language custom text classification
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for TorrentExam members. You can sign-up / login (it's free).

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