Plan and manage an Azure AI solution →hardMultiple ChoiceObjective-mapped

AI-102 Plan and manage an Azure AI solution Practice Question

Exhibit

{
  "skillset": {
    "name": "custom-entity-skillset",
    "skills": [
      {
        "@odata.type": "#Microsoft.Skills.Custom.WebApiSkill",
        "description": "Custom entity extraction",
        "uri": "https://myfunctionapp.azurewebsites.net/api/extract",
        "context": "/document",
        "inputs": [
          {
            "name": "text",
            "source": "/document/content"
          }
        ],
        "outputs": [
          {
            "name": "entities",
            "targetName": "customEntities"
          }
        ]
      }
    ]
  }
}

Refer to the exhibit. The indexer using this skillset fails with an error that the skill cannot be executed. The Azure Function is deployed and responds correctly when tested directly. What is the most likely cause?

⚠ Common exam trap

Watch out — candidates often assume a working function tested directly (often via HTTP) will work in the indexer, overlooking the indexer's strict HTTPS requirement for custom skill endpoints.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

The skill endpoint is using HTTP instead of HTTPS.

Azure AI Search indexers that invoke custom skills via Azure Functions require the endpoint to use HTTPS. If the endpoint is configured with HTTP, the indexer will fail with a 'skill cannot be executed' error, even if the function itself works when tested directly. This is because the indexer enforces secure communication to protect data in transit.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
The context is set incorrectly to '/document'.
Why it's wrong here
Context is correctly set for document-level processing.
✗
The input source '/document/content' is invalid.
Why it's wrong here
If content exists, this is valid; would cause a different error if missing.
✓
The skill endpoint is using HTTP instead of HTTPS.
Why this is correct
Azure AI Search requires HTTPS for custom skill endpoints.
✗
The skill's output targetName does not match the index field.
Why it's wrong here
Would cause a field mapping error, not a skill execution failure.

Quick reference

Cloud Service Model Comparison

Model	You Manage	Provider Manages	Examples
IaaS	OS, runtime, apps, data	Hardware, hypervisor, networking	EC2, Azure VMs, GCP Compute Engine
PaaS	Apps and data	OS, runtime, middleware, hardware	Elastic Beanstalk, Azure App Service
SaaS	Data and settings only	Everything else	Microsoft 365, Salesforce, Workday
FaaS / Serverless	Function code only	Infra, scaling, runtime	Lambda, Azure Functions, Cloud Run
CaaS	Containers and apps	Kubernetes, OS, hardware	EKS, AKS, GKE

Go deeper

AI-102 Plan and manage an Azure AI solution Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

Cloud Service Model Comparison

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