Exam AZ-305 topic 4 question 42 discussion

A. Azure Data Factory - is correct.

The correct answer is A. Azure Data Factory. Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines. It can be used to continually copy data from various sources, including Azure Blob Storage, to multiple destinations such as an Azure SQL Database. The other options aren't suitable for continual data copying in the scenario described.

A is correct

Given answer A is correct

Ok, so "continually" is not the same as "real-time" here. That is what confused me.

The correct answer is Azure Data Factory

A is the answer. https://learn.microsoft.com/en-us/azure/data-factory/introduction Big data requires a service that can orchestrate and operationalize processes to refine these enormous stores of raw data into actionable business insights. Azure Data Factory is a managed cloud service that's built for these complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects.

AZ Functions could also do this as I understand it, if this came up as an option on a future question?

Azure Data Factory is a cloud-based data integration service that allows you to move, store, and transform data between different sources and sinks. It provides a scalable and flexible solution to copy large amounts of data between Azure Blob Storage and Azure SQL Database in a reliable and repeatable manner, making it an appropriate recommendation for continuously copying performance data to the Azure SQL database.

A. Azure Data Factory

A is correct

ADF - correct

A is correct

Correct answer is A.

A is correct: Azure Data Factory is the platform that solves such data scenarios. It is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores. You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database. https://learn.microsoft.com/en-us/azure/data-factory/introduction

A. Azure Data Factory - using Data Factory pipelines. Data Factory pipelines can copy data from Azure Blob Storage to an Azure SQL Database. The configuration pattern applies to copying from a file- based data store to a relational data store. https://learn.microsoft.com/en-us/azure/data-factory/tutorial-copy-data-dot-net