Microsoft AI-200 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-200 / AI-102 |
| Exam Format: | Multiple choice, Multiple response, Case studies, Scenario-based questions |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, German, French, Spanish |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 165 (varies by region) |
| Passing Score: | 700/1000 |
| Related Certifications: | Azure AI Fundamentals Azure Data Scientist Associate |
| Exam Duration: | 100-120 |
| Certificate Validity Period: | 1 year (renewable through Microsoft Learn assessment) |
| Recommended Training: | Microsoft Learn Azure AI Engineer Learning Path Azure OpenAI Service Documentation |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Learn Certification Page |
| Sample Questions: | Microsoft AI-200 Sample Questions |
| Exam Way: | Online proctored exam or onsite test center via Pearson VUE |
| Pre Condition: | No mandatory prerequisites, but recommended: Azure Fundamentals (AZ-900 or AI-900) and experience with Azure services and AI concepts. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Azure AI solutions | - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions |
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Select appropriate Azure AI services - Plan security and compliance requirements |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
1. Drag and Drop Question
A Python API retrieves a document from Azure Database for PostgreSQL by using a SQL statement. The API accepts the document ID from user input. The current implementation inserts the document ID directly into the SQL statement.
You need to secure the SQL statement execution by minimizing the possibility of SQL injection.
How should you modify the current implementation? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
2. You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?
A) Application settings with Key Vault references
B) Environment variables in local.settings.json
C) Parameter file stored in source control
D) Hard-coded connection string in the startup class
3. Hotspot Question
You are developing a Retrieval-Augmented Generation (RAG) solution for a company.
AI responses and embedding vectors are cached in Redis.
The solution must meet the following requirements:
- AI responses must expire exactly 24 hours after they are cached.
- Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
NOTE: Each correct selection is worth one point.
4. Hotspot Question
A Python web API uses OpenTelemetry for tracing. The call_downstream_service function makes an outbound HTTP request by using the requests library.
The following code is the only OpenTelemetry configuration in the application:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
5. You are designing an Azure Function app that exposes a public API.
The solution must:
- Validate incoming request data and return results immediately to the
caller.
- Support Microsoft Entra ID authentication.
- Guarantee idempotent processing when the same request is retried.
- Scale automatically under variable load.
- Avoid duplicate processing.
You need to implement a trigger.
Which trigger should you implement?
A) Azure Queue storage
B) HTTP
C) Azure Event Grid
D) Service Bus topic
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: Only visible for members | Question # 4 Answer: Only visible for members | Question # 5 Answer: B |


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