You plan to build an app that win provide wets with the ability to dictate messages and convert the messages into text. You need to recommend a solution to meet the following requirements for the app:
* Must be able to transcribe streaming dictated messages that are longer than 15 seconds.
* Must be able to upload existing recordings to Azure Blob storage to be transcribed later.
Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Explanation

Box 1: The Speech SDK
The Speech SDK is not limited to 15 seconds.
Box 2: Batch Transcription API
Batch transcription is a set of REST API operations that enables you to transcribe a large amount of audio in storage. You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. With the new v3.0 API, you have the choice of transcribing one or more audio files, or process a whole storage container.
Asynchronous speech-to-text transcription is just one of the features.
Reference:
https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/13
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription

You need to build and deploy a real-time media bot for Microsoft Skype on an Azure virtual machine. The bot will use the Azure Bot Service. The solution must minimize custom code.
Which environment and language should you use to develop the bot? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Explanation

References:
https://docs.microsoft.com/en-us/microsoftteams/platform/concepts/calls-and-meetings/requirements-considerati

You design an Al workflow that combines data from multiple data sources for analysis. The data sources are composed of:
* JSON files uploaded to an Azure Storage account
* On-premises Oracle databases
* Azure SQL databases
Which service should you use to ingest the data?

• A. Azure Databricks
• B. Azure Data Factory
• C. Azure SQL Data Warehouse
• D. Azure Data Lake Storage

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You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Explanation

Box 1: train
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15.
Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce

The development team at your company builds a bot by using C# and .NET.
You need to deploy the bot to Azure.
Which tool should you use?

• A. the Git CLI
• B. the AzCopy toll
• C. the Azure CLI
• D. the .NET Core CLI

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