You have a developed an AI app that uses a Cognitive Services API to identify images. You want all the processed images to be stored an on-premises datacenter. What should you do?
A.
Use a Docker container to host the Cognitive Services API.
B.
Use an Azure Stack Edge Pro to host the Cognitive Services API.
C.
Use an Azure Private Endpoint to host the Cognitive Services API.
D.
Use an Azure Data Box to host the Cognitive Services API.
Suggested Answer:Answer: B🗳️
A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries and settings. Reference: https://www.docker.com/resources/what-container Q27) You are developing a bot for an ecommerce application. The bot will support five languages. The bot will use Language Understanding (LUIS) to detect the language of the customer, and QnA Maker to answer common customer questions. LUIS supports all the languages. You need to determine the minimum number of Azure resources that you must create for the bot. You create one instance of QnA Maker and one instance Language Understanding (LUIS). Does this action accomplish your objective?
A. Yes, it does -
B. No, it does not -
You need to have a new QnA Maker resource for each language. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
B. Use an Azure Stack Edge Pro to host the Cognitive Services API, which enables you to process images locally and store them in your on-premises datacenter.
Moderator please provide the answer of this question. It is mixed up with other questions.
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