Exam AI-100 topic 5 question 30 discussion

Actual exam question from Microsoft's AI-100

Question #: 30
Topic #: 5

You are developing an application that uses the Computer Vision API.
Your application will perform the following steps:
Take data from an on-premises database and load it to an Azure Blob storage account.
Connect to an Azure Machine Learning service.
You need to orchestrate the workflow.
What should you use?

A. Azure Kubernetes Service (AKS)
B. Azure Pipelines
C. Azure Data Factory
D. An Azure HDInsight cluster
E. Azure Data Lake

Show Suggested Answer

Suggested Answer: C 🗳️
With Azure Data Factory you can use workflows to orchestrate data integration and data transformation processes at scale.
Build data integration, and easily transform and integrate big data processing and machine learning with the visual interface.
Reference:
https://azure.microsoft.com/en-us/services/data-factory/

by rveney at June 22, 2023, 9:48 p.m.

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rveney

2 years ago

C. Azure Data Factory Azure Data Factory is a fully managed data integration service that allows you to orchestrate and automate data movement and data transformation workflows. It provides a visual interface for building complex data pipelines and supports various data sources and destinations, including on-premises databases and Azure Blob storage. With Azure Data Factory, you can easily move data from your on-premises database to Azure Blob storage and then connect to Azure Machine Learning service for further processing using the Computer Vision API.

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