Question
You have a Python application named App1 that integrates with a Microsoft Foundry project named Project1.
You need to ensure that App1 meets the following requirements:
- Authenticates by using a Microsoft Entra managed identity
- Sends prompts to a deployed model by using the Azure OpenAI Responses API
How should you complete the Python code? To answer, select the appropriate options in the answer area.
```python
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
credential = [Dropdown 1]()
project_client = AIProjectClient(
endpoint="https://contosoai.services.ai.azure.com/api/projects/project1",
credential=credential,
)
with project_client.get_openai_client() as openai_client:
response = openai_client.responses.[Dropdown 2](
model="trail-guide-chat",
input="Create a 3-day hiking itinerary near Seattle.",
)
print(response.output_text)
```
NOTE: Each correct selection is worth one point.
Explanation
Dropdown 1: DefaultAzureCredential resolves Microsoft Entra credentials in order and supports managed identity, so App1 authenticates without any stored secret. AzureKeyCredential uses an API key rather than Entra ID, and ClientSecretCredential authenticates a service principal with a client secret rather than a managed identity.
Dropdown 2: responses.create sends the model and input to generate a new response, and its result provides output_text. The retrieve method fetches an existing response by its ID, and compact reduces the context of an existing conversation, so neither sends this prompt.
