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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Topic 2: Connect to and consume Azure services | - Integrate Azure services
|
| Topic 3: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 4: Develop containerized solutions on Azure | - Implement containerized applications
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You are using the Python SDK to develop a containerized AI application that retrieves the value of a runtime setting stored in an Azure App Configuration resource. The application will run in Azure in the security context of a managed identity.
The application must work in a local development environment without any code changes.
You need to complete the code that implements the retrieval.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Verified Answer: var1 = DefaultAzureCredential(); retrieval call = get_configuration_setting(...).
Detailed Explanation: DefaultAzureCredential is designed to support the same application code across local development and Azure-hosted environments. Locally it can use developer credentials, while in Azure it can use the workload's managed identity. The App Configuration client's get_configuration_setting method retrieves a specific key/label pair, which matches the code shown. Using ManagedIdentityCredential directly would not provide the same local-development credential chain without code or environment-specific handling.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Azure App Configuration Python client | Managed identities for Azure resources
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 selectin is worth one point.
Correct Answer:
Explanation:
You need to add a custom voice that matches your company ' s brand for a text-to-speech feature, distinct from any standard neural voice.
What should you use?
- A. Azure AI Speech Custom Neural Voice
- B. Azure AI Language sentiment analysis
- C. Azure AI Speech prebuilt neural voices
- D. Azure AI Translator
Correct Answer: A 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
You are developing an Azure Functions app.
All functions in the app meet the following requirements:
Run until either a successful run or until 10 run attempts occur.
Ensure that there are at least 20 seconds between attempts for up to 15 minutes.
You need to configure the host.json file.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
You are evaluating a fine-tuned Azure OpenAI model against the base model before promoting it to production.
Which Azure AI Foundry capability should you use?
- A. Prompt flow bulk testing / evaluation with metrics (groundedness, coherence, relevance)
- B. Azure Monitor Application Insights only
- C. Content Safety category configuration
- D. Azure AI Search indexer scheduling
Correct Answer: A 🗳️
Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).
