You develop a Conversational Language Undemanding model by using Language StudioDuring testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model. You need to ensure that the model identifies spurious requests.What should you do?

Add examples to the custom intents.

Add examples to the None intent

You are building a social media extension that will convert text to speech. The solution must meet the following requirements:- Support messages of up to 400 characters.- Provide users with multiple voice options.- Minimize costs.You create an Azure Cognitive Services resource.Which Speech API endpoint provides users with the available voice options?

https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld={deploymentld>

https://uksouth.customvoice.apispeech.microsoft.eom/api/texttospeech/v3.0/longaudiosynthesis/voices

https://uksouth.tts.speech.microsoft.conT/cognitiveservices/voices/list

https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld={deploymentld>

https://uksouth.api.cognitive.microsoft.eom/speechtotext/v3.0/models/base

Azure Video Analyzer for Media (formerly Video indexer)

optical character recognition (OCR)

Add a human review and approval step before making decisions that affect the staffs financial situation

Include the Sentiment Analysis results when surveys return a low confidence score.

Use all the surveys, including surveys by customers who requested that their account be deleted and their data be removed.

Publish the raw survey data to a central location and provide the staff with access to the location.

Custom Vision image classification

Content Moderator Image Moderation

analyreImageByDomainInStreamAsync

a network security group (NSG) for vnet1

the virtual network settings for ta 1

a Language service container for ta1

You have an Azure loT hub that receives series data from machinery. You need to build an app that will perform the following actions:

• Perform anomaly detection across multiple correlated sensors

• Identify the root cause of process stops.

• Send incident alerts

The solution must minimize development time. Which Azure service should you use?

Azure Metrics Advisor

Form Recognizer

Azure Machine teaming

Anomaly Detector