Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You published an Azure AI Foundry project that contains a prompt flow named "summarize_docs" and successfully validated it in the Foundry portal. You now want to invoke the flow from a Python application by using the Azure AI Foundry SDK with the following code snippet:

from azure.ai.foundry import FoundryClient
from azure.identity import DefaultAzureCredential

client = FoundryClient(
    endpoint    = os.environ["FOUNDRY_ENDPOINT"],
    credential  = DefaultAzureCredential()
)
flow = client.get_prompt_flow("summarize_docs")
result = flow.invoke({"input_text": content})

When the invoke call runs, it raises an HTTP 404 error that states that no online deployment exists for the flow.

In the Foundry portal, which action must you take before the code will work without modification?

  • Regenerate the Foundry workspace primary access key.

  • Deploy the "summarize_docs" flow to an online endpoint.

  • Promote the flow from the dev stage to the staging stage.

  • Export the project as an Azure Resource Manager (ARM) template and redeploy it.

Microsoft Azure AI Engineer Associate AI-102
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