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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement information extraction and knowledge mining | 10–15% | - Extract structured data from documents
|
| Topic 2: Implement computer vision solutions | 10–15% | - Build multimodal solutions
|
| Topic 3: Implement text and speech analysis solutions | 10–15% | - Implement natural language processing
|
| Topic 4: Implement generative AI and agentic solutions | 30–35% | - Build generative AI applications
|
| Topic 5: Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Question 1
You have a Microsoft Foundry project that contains a model deployment.
You have an application that calls the deployment by using the Azure OpenAI v1 API and DefaultAzureCredential.
The developers at your company receive HTTP 403 errors when they send inference requests, even after running az login.
You need to ensure that the developers can perform model inference. The solution must follow the principle of least privilege.
Which role-based access control (RBAC) role should you assign to the developers?
A. Contributor
B. Cognitive Services User
C. Cognitive Services Data Reader
D. Cognitive Services OpenAI User
Question 2
You have an Azure subscription that contains an Azure OpenAI resource.
You need to build an app that will suggest product names from a given product description.
Which model should you use?
A. GPT-4
B. embeddings
C. Whisper
D. DALL-E
Question 3
You have an Azure subscription.
You plan to build an app that will use the Azure OpenAI DALL-E model.
You need to deploy the model.
What should you use?
A. the Azure portal and Microsoft Graph API
B. Azure AI Studio and Azure Command-Line Interface (CLI)
C. the Azure SDK for Python and PowerShell cmdlets
D. the Azure SDK for JavaScript and Azure Machine Learning Studio
Question 4
You are developing an app that will perform a sentiment analysis of social media posts by using the Azure AI Language service.
You perform a test on a sample post.
You need to quantify the results of the test.
Which JSON property should you review?
A. confidenceScores
B. sentiment
C. relations
D. confidenceThreshold
Question 5
You have a Microsoft Foundry project that contains an agent for a customer support chat app.
The agent uses a memory store and a memory search tool.
You need to ensure that the conversation history does NOT persist across separate sessions.
To what should you set the scope of the memory tool?
A. {{$conversationId}}
B. {{$userId}}
C. session
D. global
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: C |


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