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You have an app named App1 that uses the Face API.
App1 contains several PersonGroup objects.
You discover that a PersonGroup object for an individual named Ben Smith cannot accept additional entries. The PersonGroup object for Ben Smith contains 10,000 entries.
You need to ensure that additional entries can be added to the PersonGroup object for Ben Smith. The solution must ensure that Ben Smith can be identified by all the entries.
Solution: You migrate all the entries to the LargePersonGroup object for Ben Smith.
Does this meet the goal?

You need to create a new app that will consume resources from the following Azure Cognitive Services APIs:
* Face API
* Bing Search
* Text Analytics
* Translator Text
* Language Understanding (LUIS)
The solution must prepare the development environment as quickly as possible.
What should you create first from the Azure portal?

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.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.
You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.
Solution: You create an Azure Data Factory pipeline that contains a Machine Learning Execute Pipeline activity.
Does this meet the goal?

You are building an Azure Analysis Services cube for your Al deployment.
The source data for the cube is located in an on premises network in a Microsoft SQL Server database.
You need to ensure that the Azure Analysis Services service can access the source data.
What should you deploy to your Azure subscription?

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.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have Azure IoT Edge devices that generate streaming data.
On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.
Solution: You deploy an Azure Machine Learning model as an IoT Edge module.
Does this meet the goal?