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Implement natural language processing solutionshardMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

{
  "name": "QnA-Maker-Skill",
  "description": "QnA Maker skill for FAQ",
  "modelUrl": "https://westus.api.cognitive.microsoft.com/qnamaker/v4.0",
  "endpointKey": "abc123",
  "kbId": "def456"
}

Refer to the exhibit. A developer is configuring a QnA Maker skill for a bot. The skill fails to respond to queries. What is the most likely issue?

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 modelUrl points to the authoring API instead of the runtime endpoint.

The modelUrl uses the v4.0 API, but the endpoint key and kbId are hardcoded and may be invalid or expired. Additionally, the URL should be for the runtime endpoint, not the authoring API.

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 kbId is not published.

    Why it's wrong here

    The error is more likely due to the endpoint.

  • The skill is not deployed.

    Why it's wrong here

    The configuration file suggests the skill is configured but not connecting.

  • The endpointKey is incorrect.

    Why it's wrong here

    While possible, the more fundamental issue is the modelUrl.

  • The modelUrl points to the authoring API instead of the runtime endpoint.

    Why this is correct

    The URL should be for the runtime (e.g., https://westus.api.cognitive.microsoft.com/qnamaker/v4.0) but the correct runtime endpoint is typically 'https://<your-resource-name>.azurewebsites.net/qnamaker' or similar. The v4.0 authoring API is not used for querying.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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