Exam AI-100 topic 5 question 1 discussion

Actual exam question from Microsoft's AI-100

Question #: 1
Topic #: 5

You are designing a business application that will use Azure Cognitive Services to parse images of business forms. You have the following requirements:
Parsed image data must be uploaded to Azure Storage once a week.
The solution must minimize infrastructure costs.
What should you do?

A. Use Azure API Apps to upload the data.
B. Use Azure Bot Service to upload the data.
C. Use Azure Data Factory (ADF) to upload the data.
D. Use Azure Machine Learning to upload the data.

Show Suggested Answer

Suggested Answer: C 🗳️
The Azure Data Factory (ADF) is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-premises and in the cloud.
It provides access to on-premises data in SQL Server and cloud data in Azure Storage (Blob and Tables) and Azure SQL Database.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/introduction https://www.jamesserra.com/archive/2014/11/what-is-azure-data-factory/

by rveney at June 22, 2023, 8:48 p.m.

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rveney

2 years ago

C. Use Azure Data Factory (ADF) to upload the data. Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create data-driven workflows for orchestrating and automating data movement and transformation. In this scenario, ADF can be used to schedule and automate the process of uploading the parsed image data to Azure Storage once a week. ADF provides a cost-effective solution as it allows you to define data pipelines without the need for extensive infrastructure setup or management. It can handle large-scale data transfers efficiently and provides built-in connectors for Azure Storage, enabling seamless integration with the storage service. Using Azure API Apps or Azure Bot Service would not be the most suitable options for uploading data to Azure Storage as they are primarily designed for building APIs or developing conversational agents, respectively. Azure Machine Learning is a platform for developing and deploying machine learning models, not specifically designed for data uploading tasks.

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