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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement agentic solutions | 20-25% | - Manage agent operations
|
| Topic 2: Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Topic 3: Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Topic 4: Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Topic 5: Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
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.
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
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
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
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
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: A |








