AI-102 Exam Dumps : Designing and Implementing a Microsoft Azure AI Solution

Provision the Language service resource in Azure.

Deploy a Docker container to an on-premises server.

Run the container and query the prediction endpoint.

According to the Microsoft documentation, the Language service is a cloud-based service that provides various natural language processing features, such as sentiment analysis, key phrase extraction, named entity recognition, etc. You can provision the Language service resource in Azure by following the steps in Create a Language resource. You will need to provide a name, a subscription, a resource group, a region, and a pricing tier for your resource. You will also get a key and an endpoint for your resource, which you will use to authenticate your requests to the Language service API.

According to the Microsoft documentation, you can also use the Language service as a container on your own premises or in another cloud. This option gives you more control over your data and network, and allows you to use the Language service without an internet connection. You can deploy a Docker container to an on-premises server by following the steps in Deploy Language containers. You will need to have Docker installed on your server, pull the container image from the Microsoft Container Registry, and run the container with the appropriate parameters. You will also need to activate your container with your key and endpoint from your Azure resource.

According to the Microsoft documentation, once you have deployed and activated your container, you can run it and query the prediction endpoint to get sentiment analysis results. The prediction endpoint is a local URL that follows this < container IP address > : < port > /text/analytics/v3.1-preview.4/sentiment. You can send HTTP POST requests to this endpoint with your text input in JSON format, and receive JSON responses with sentiment labels and scores for each document and sentence in your input.

This scenario is about improving the accuracy of QnA Maker responses when user phrasing is different but semantically the same.

Problem

Uploaded document contains: “What is your warranty period?”

Users ask: “How long is the warranty coverage?”

QnA Maker fails because it does not automatically equate these two phrasings.

Both must map to the same answer.

Correct Sequence of Actions

Add alternative phrasing to the question and answer (QnA) pair.

In QnA Maker, you can add synonyms or paraphrases for a question.

Example: Add “How long is the warranty coverage?” as an alternative phrasing to the existing QnA pair.

This ensures the system treats both phrasings as the same question.

Retrain the model.

After modifying the knowledge base with new alternatives, you must retrain the model.

This step incorporates the updates into the QnA Maker service.

Republish the model.

To make the changes live and accessible by the chatbot endpoint, the retrained model must be republished.

Without republishing, the chatbot will still use the old knowledge base.

Actions That Are Not Required

Add a new QnA pair → Not needed, because we want both questions to map to the same existing answer, not duplicate answers.

Add additional questions to the document → That’s not required when QnA Maker already supports adding alternative phrasing within the portal or JSON editor.

Final Answer (Sequence)

Add alternative phrasing to the question and answer (QnA) pair.

Retrain the model.

Republish the model.

Microsoft References

QnA Maker – Add alternative phrasing

Train and publish a QnA Maker knowledge base

1. api-nam.cognitive.microsofttranslator.com

2. translate

Requests to Translator are, in most cases, handled by the datacenter that is closest to where the request originated. If there ' s a datacenter failure when using the global endpoint, the request may be routed outside of the geography.

To force the request to be handled within a specific geography, use the desired geographical endpoint. All requests are processed among the datacenters within the geography.

- United States

api-nam.cognitive.microsofttranslator.com

- translate

Translate specified source language text into the target language text.