Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You are deploying an Azure Machine Learning model to an Azure Kuberneles Service (AKS) container.
You need to monitor the accuracy of each run of the model. Solution: You configure Azure Application Insights.
Does this meet the goal?

• A.Yes
• B.No

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Which two services should be implemented so that Butler can find available rooms on the technical requirements? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A.QnA Maker
• B.Bing Entity Search
• C.Language Understanding (LUIS)
• D.Azure Search
• E.Content Moderator

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You plan to create a bot that will support five languages. The bot will be used by users located in three different countries. The bot will answer common customer questions. The bot will use Language Understanding (LUIS) to identify which skill to use and to detect the language of the customer.
You need to identify the minimum number of Azure resources that must be created for the planned bot.
How many QnA Maker, LUIS and Language Detection instances should you create? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. 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.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
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
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language

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You are designing a Custom Vision Service solution to identify fresh produce in grocery stores. The solution will be deployed as part of a mobile app.
You need to recommend the configurations for the Custom Vision API. The solution must minimize the size of the mobile app.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1:
Project type: Classification
Box 2:
Domain: Food (compact)
If you want to classify photographs of individual fruits or vegetables, use the Food domain. Compact domains are optimized for the constraints of real-time classification on mobile devices.
Box 3:
Export capability: Vision AI Dev Kit
Custom Vision Service supports the following exports:
* Tensorflow for Android.
* CoreML for iOS11.
* ONNX for Windows ML.
* Vision AI Developer Kit.
* A Docker container for Windows, Linux, or ARM architecture.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/select-domain
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model

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You are designing an AI solution that will analyze millions of pictures.
You need to recommend a solution for storing the pictures. The solution must minimize costs.
Which storage solution should you recommend?

• A.an Azure Data Lake store
• B.Azure File Storage
• C.Azure Blob storage
• D.Azure Table storage

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