Microsoft Updated AI-102 Exam Questions and Answers by ioan

A user User1 must be able to upload datasets and fine-tune existing models in Azure OpenAI.

The role must follow principle of least privilege.

Role analysis:

A. Cognitive Services Contributor: Too broad; allows management of all Cognitive Services resources, not least privilege.

B. Contributor: Overly permissive; allows full management rights on the entire resource, not just OpenAI.

C. Cognitive Services OpenAI User: Grants permissions only to use models (query endpoints). Does not allow fine-tuning or dataset upload.

D. Cognitive Services OpenAI Contributor: Correct role. This provides the ability to manage OpenAI resources, including uploading training data and fine-tuning models.

Correct Answer: D. Cognitive Services OpenAI Contributor

Microsoft Reference:

Azure RBAC roles for Azure OpenAI

Built-in roles: Cognitive Services OpenAI Contributor

Box 1: mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment

To run the Sentiment Analysis v3 container, execute the following docker run command.

docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \

mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment \

Eula=accept \

Billing={ENDPOINT_URI} \

ApiKey={API_KEY} is the endpoint for accessing the Text Analytics API. https:// .cognitiveservices.azure.com

Box 2: https://contoso.cognitiveservices.azure.com

{ENDPOINT_URI} is the endpoint for accessing the Text Analytics API: https:// .cognitiveservices.a The endpoint for accessing the Text Analytics API. zure.com

You created five bots with Microsoft Bot Framework Composer, but want to make them appear as one unified bot for users, with dynamic routing depending on user input.

This is exactly the Bot Framework Orchestrator scenario. Orchestrator is the recognizer that allows you to dispatch incoming utterances to the correct skill (bot) or dialog.

Step 1 – Install Orchestrator package

To use Orchestrator inside Bot Framework Composer, you first install the Orchestrator package.

This provides the functionality for language understanding and routing.

Correct answer: F.

Step 2 – Change Recognizer/Dispatch type

By default, a bot project might use LUIS recognizer or Regex recognizer.

To use Orchestrator, you need to change the recognizer type to Orchestrator in Composer.

Correct answer: B.

Step 3 – Create an Orchestrator model

Orchestrator requires a trained model that maps utterances to intents or routes them to the correct skill/bot.

You must create an Orchestrator model for dispatch.

Correct answer: A.

Other Options (Incorrect):

C. Create a Composer extension → Not required for orchestrating multiple bots.

D. Enable WebSockets → Useful for streaming scenarios, not for bot orchestration.

E. Create a custom recognizer JSON file → Applies to building custom recognizers, not needed with Orchestrator.

In the Azure AI Translator .NET SDK (Azure.AI.Translation.Text), the TextTranslationClient exposes TranslateAsync overloads that accept a target language (e.g., "fr") and an input string to translate. The call returns a Response>. Each TranslatedTextItem includes the automatically detected source language (DetectedLanguage.Language) and a collection of translations in Translations. To print the translated text for the first target language, read translation.Translations[0].Text.

Therefore:

Use TranslateAsync(targetLanguage, input) to perform the translation.

Output translation.Translations[0].Text to display the translated result.

Microsoft References

TextTranslationClient.TranslateAsync method (overloads, usage). Microsoft Learn

TextTranslationClient class overview. Microsoft Learn

TranslatedTextItem model and Translations property (array of translation results).

Quickstart: Translator text client libraries (end-to-end usage pattern). Microsoft Learn