SIMULATION You need to create and publish a bot that will use Language Understanding and QnA Maker. The bot must be named bot12345678. You must publish the bot by using the [email protected] acco

The correct interaction is to select the 'Create Bot' button to initiate the creation of an Azure Bot Service linked to the published QnA Maker knowledge base, as specified by the exam steps.

Submitted by ravi_2018· Mar 30, 2026Implement conversational AI solutions

Question

SIMULATION You need to create and publish a bot that will use Language Understanding and QnA Maker. The bot must be named bot12345678. You must publish the bot by using the [email protected] account. NOTE: Complete this task first. It may take several minutes to complete the required deployment steps. While this is taking place, you can complete tasks 2-6 in this lab during the deployment. To complete this task, use the Microsoft Bot Framework Composer. Answer: Step 1: Sign in to the QnAMaker.ai portal with your Azure credentials. Use the [email protected] account Step 2: Publish the knowledge base. In the QnA Maker portal, select Publish. Then to confirm, select Publish on the page. The QnA Maker service is now successfully published. You can use the endpoint in your application or bot code. Step 3: In the QnA Maker portal, on the Publish page, select Create bot. This button appears only after you've published the knowledge base. After publishing the knowledge base, you can create a bot from the Publish page. Step 4: A new browser tab opens for the Azure portal, with the Azure Bot Service's creation page. Configure the Azure bot service. Bot name: bot12345678 The bot will be created. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/quickstarts/create-publish-kn owledge-base

Exhibit

Explanation

The correct interaction is to select the 'Create Bot' button to initiate the creation of an Azure Bot Service linked to the published QnA Maker knowledge base, as specified by the exam steps.

Approach. The exam question's Step 3 explicitly states: 'In the QnA Maker portal, on the Publish page, select Create bot. This button appears only after you've published the knowledge base.' The exhibit image shows the state immediately after publishing the knowledge base, presenting the 'Create Bot' button. Clicking this button aligns directly with the instructions, taking the user to the Azure portal to configure and create the Azure Bot Service, pre-configured to use the deployed QnA Maker knowledge base. This is the intended and most direct workflow for integrating QnA Maker with an Azure Bot as per the scenario.

Common mistakes.

common_mistake. A common mistake would be to select 'Edit Service'. This button would take the user back to modify the content of the QnA Maker knowledge base, which is not the current task. Another mistake might be to ignore the prompt and attempt to create an Azure Bot Service manually from the Azure portal. While technically possible, it bypasses the integrated workflow provided by QnA Maker and doesn't follow the specific steps given in the lab instructions, which guide the user to leverage the 'Create Bot' button for streamlined integration. Interacting with the HTTP request details (Postman/Curl sections) would also be incorrect, as these are for API consumption, not for bot creation.

Concept tested. The core technical concept being tested is the integration and deployment workflow between Azure QnA Maker and Azure Bot Service. Specifically, it assesses the ability to leverage the direct 'Create Bot' functionality within the QnA Maker portal after publishing a knowledge base, streamlining the creation of a bot that utilizes the published QnA Maker service. It also tests the understanding of the stages of bot development and deployment, from knowledge base creation to bot service instantiation.

Reference. https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/quickstarts/create-publish-knowledge-base

Topics

#Bot creation#Bot publishing#QnA Maker integration#Bot Framework Composer

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