Scenario Recap:
* Application: Flower classification.
* Solution: Create a new model, and then upload the new images and labels.
Analysis:
* Creating a new model from scratch is not the correct approach for adding species to an existing classifier.
* The goal is to extend the existing model, not reset and rebuild a new one.
* This would waste training data and is not aligned with Custom Vision usage.
The answer: B. No

Explanation:

The requirement:
You are using Azure AI Anomaly Detector.
You need to deploy it on Server1, which has intermittent internet access.
This means you need to run the service locally using containers (Docker).
Step 1 - Install Docker Engine
Before pulling or running any containers, Docker must be installed on Server1.
Without Docker Engine, no container can be deployed.
Step 2 - Pull the container image
Use docker pull to download the Anomaly Detector container image from Microsoft Container Registry.
This requires internet access, so it should be done when connectivity is available.
Step 3 - Run the container
After pulling the image, use docker run to start the Anomaly Detector container.
This exposes a local REST API endpoint on Server1.
Step 4 - Query the local endpoint
Once the container is running, you can query the prediction endpoint on Server1.
This allows local inference without requiring continuous internet access.
Correct Sequence:
Install the Docker Engine on Server1.
From Server1, run the docker pull command.
From Server1, run the docker run command.
Query the prediction endpoint on Server1.
Microsoft References
Use Azure AI Anomaly Detector on containers
Deploy Azure AI services in Docker containers
Anomaly Detector container setup

Explanation:

Box 1: Yes
You create property accessors using the CreateProperty method that provides a handle to the BotState object.
Each state property accessor allows you to get or set the value of the associated state property.
Box 2: Yes
Box 3: No
Before you exit the turn handler, you use the state management objects' SaveChangesAsync() method to write all state changes back to storage.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-v4-state

Explanation:

Explanation:

Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation Typing: In a .chat transcript, you can simulate the bot's typing indicator with the Typing activity, optionally followed by a [Delay=...] . This matches the intent to pause before sending the next message.
AttachmentLayout=carousel: When sending multiple attachments (the two watch images), set the layout to carousel so the Emulator displays the attachments horizontally as a card carousel.
Adaptive Card attachment: The JSON file cards\watchProfileCard.json represents an Adaptive Card; specify adaptivecard so the Emulator renders the card.
Resulting .chat snippet (essentials):
user =User1
bot=watchbot
user : I want a new watch.
bot: [Typing][Delay= 3000 ]
bot: I can help you with that! Let me see what I can find.
bot: Her e ' s what I found.
bot:
[AttachmentLayout=carousel]
[Attachment=https://contoso.blob.core.windows.net/watch01.jpg]
[Attachment=https://contoso.blob.core.windows.net/watch02.jpg]
user: I like the first one.
bot: Sure, pulling up more information.
bot: [Attachment=cards\watchProfileCard.json adaptivecard]
user: That ' s nice! Thank you.
bot: Sure, you are most welcome!
References
Bot Framework Emulator transcript ( .chat ) activities and typing indicator: Bot Framework Activity schema; Emulator supports typing and delay in transcripts.
https://learn.microsoft.com/azure/bot-service/bot-service-debug-emulator
https://learn.microsoft.com/azure/bot-service/rest-api/bot-framework-rest-connector-api-reference#activity- object Attachment layout ( carousel / list ) for multiple attachments:
https://learn.microsoft.com/azure/bot-service/nodejs/bot-builder-nodejs-send-rich-cards#carousel-layout Adaptive Cards in Bot Framework:
https://learn.microsoft.com/adaptive-cards/get-started/bots
https://learn.microsoft.com/azure/bot-service/bot-builder-howto-add-media-attachments#adaptive-cards