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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 25-30% | - Develop generative AI applications
|
| Topic 2: Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Topic 3: Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Topic 4: Implement agentic solutions | 20-25% | - Build AI agents
|
| Topic 5: Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
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) Set the temperature parameter to 1.
C) Add function F(explanation) to the prompt.
D) Add // what does function F do? to the prompt.
2. You are building an Azure AI Search indexing pipeline named Pipeline1 that ingests invoices stored in Azure Blob Storage. The invoices are stored as scanned images.
You need to enable users to search invoice data across the invoice fields.
Which built-in skill should you add to the skillset of Pipeline1?
A) Text Split
B) optical character recognition (OCR)
C) Text Translation
D) Image Analysis
3. You are developing prompts for a Micosoft Foundry project that classifies incoming support tickets by category.
You need to improve accuracy by showing the model how correct classifications look, without retaining the model or storing knowledge permanently.
Which prompt engineering approach should you use?
A) few-shot learning
B) chain of thought
C) Retrieval Augmented Generation (RAG)
D) zero-shot learning
4. You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint. An agent uses the endpoint to perform real-time speech recognition.
You are approaching the expiration date of the custom speech to text model.
What is the expected behavior when the model expires?
A) The custom model will be deleted automatically when the model expires.
B) Speech recognition requests will return a 4xx error until a new custom model is deployed.
C) Speech recognition requests will fall back to the most recent base model for the same locale.
D) Speech recognition requests will continue to use the expired custom model until the model is removed manually.
5. You have an Azure subscription that contains an Azure OpenAI resource.
You plan to build an agent by using the Azure AI Agent Service. The agent will perform the following actions:
- Interpret written and spoken questions from users.
- Generate answers to the questions.
- Output the answers as speech.
You need to create the project for the agent.
What should you use?
A) Azure AI Foundry
B) Language Studio
C) the Azure portal
D) Speech Studio
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
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