Explanation

Box 1: Computer Vision
Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information.
Computer Vision Detect Faces: Detect faces in an image and provide information about each detected face.
Computer Vision returns the coordinates, rectangle, gender, and age for each detected face.
Computer Vision provides a subset of the Face service functionality. You can use the Face service for more detailed analysis, such as facial identification and pose detection.
Box 2: Bing Video Search
Search for videos and get comprehensive results
With Bing Video Search API v7, find videos across the web. Results provide useful metadata including creator, encoding format, video length, view count, improved & simplified paging, and more.

Azure Data Lake Store is optimized for storing large amounts of data for reporting and analytical and is geared towards storing data in its native format, making it a great store for non-relational data.
Reference:
https://stackify.com/store-data-azure-understand-azure-data-storage-options/

Explanation

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

Explanation

Box 1: Self-hosted Integration Runtime
A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.
Not Azure-SSIS Integration Runtime, as you would need to write custom code.
Box 2: Azure Logic Apps
Azure Logic Apps helps you orchestrate and integrate different services by providing 100+ ready-to-use connectors, ranging from on-premises SQL Server or SAP to Microsoft Cognitive Services.
Incorrect:
Not Azure API Management: Use Azure API Management as a turnkey solution for publishing APIs to external and internal customers.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-examples-and-scenarios

Explanation
Scenario: Data scientists must test Butler by using ASDK.
Note: Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler.
E: The ASDK (Azure Stack Development Kit) is meant to provide an environment in which you can evaluate Azure Stack and develop modern applications using APIs and tooling consistent with Azure in a nonproduction environment.
Microsoft Azure Stack integrated systems range in size from 4-16 nodes, and are jointly supported by a hardware partner and Microsoft.
F: The Language Understanding (LUIS) container loads your trained or published Language Understanding model, also known as a LUIS app, into a docker container and provides access to the query predictions from the container's API endpoints.
Use the docker pull command to download a container image from the
mcr.microsoft.com/azure-cognitiveservices/luis repository:
docker pull mcr.microsoft.com/azure-cognitive-services/luis:latest
G: You can test using the endpoint with a maximum of two versions of your app. With your main or live version of your app set as the production endpoint, add a second version to the staging endpoint.
Reference:
https://docs.microsoft.com/en-us/azure-stack/asdk/asdk-what-is
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-test