Exam AI-100 topic 2 question 61 discussion

Actual exam question from Microsoft's AI-100

Question #: 61
Topic #: 2

You have an SAP production landscape.
You plan to use Azure Machine Learning to develop a fraud detection API. The API will identify potentially fraudulent transactions in the SAP production landscape in near real time.
You need to recommend a workflow for the API.
What should you recommend?

A. an Azure Data Factory pipeline that uses an SAP table connector and a Machine Learning Execute Pipeline activity
B. a Microsoft Excel workbook that imports SAP transactions and uses the Excel add-in for web services to score the transactions
C. an Azure logic app triggered by an SAP message that calls the API and sends an email based on the results
D. a scheduled Jupyter Notebook in Azure Databricks that connects to SAP HANA

Show Suggested Answer

Suggested Answer: A 🗳️
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities https://docs.microsoft.com/en-us/azure/data-factory/transform-data-machine-learning-service

by Nickname__for__discussions at April 13, 2021, 1:51 p.m.

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Nicknamefordiscussions

Highly Voted 4 years, 2 months ago

https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-overview Azure Logic Apps is a cloud service that helps you schedule, automate, and orchestrate tasks, business processes, and workflows when you need to integrate apps, data, systems, and services across enterprises or organizations From here I would say that C is correct as "near real-time" in the question, and logic apps do have triggers for that. I am not sure that this "near real-time" condition can be achieved with ADF.

upvoted 6 times

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rveney

Most Recent 2 years ago

A. An Azure Data Factory pipeline that uses an SAP table connector and a Machine Learning Execute Pipeline activity. Explanation: To develop a fraud detection API using Azure Machine Learning and identify potentially fraudulent transactions in the SAP production landscape in near real-time, the recommended workflow is to use an Azure Data Factory pipeline that utilizes an SAP table connector and a Machine Learning Execute Pipeline activity. Azure Data Factory is a cloud-based data integration service that allows you to create pipelines to orchestrate and automate data movement and data transformation. By using the SAP table connector, you can extract data from the SAP production landscape and pass it to the Machine Learning Execute Pipeline activity.

upvoted 1 times

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