AI-100 · Question #165
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…
The correct answer is A. Yes. Using the Batch Execution Activity in an Azure Data Factory pipeline, you can invoke an Azure Machine Learning Studio (classic) web service to make predictions on the data in batch https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning
Question
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 the Machine Learning Batch Execution activity. Does this meet the goal?
Options
- AYes
- BNo
How the community answered
(42 responses)- A76% (32)
- B24% (10)
Explanation
Using the Batch Execution Activity in an Azure Data Factory pipeline, you can invoke an Azure Machine Learning Studio (classic) web service to make predictions on the data in batch https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning
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