DP-600 · Question #117
You have a Fabric tenant that contains a warehouse named Warehouse1. You have a large 1 TB dataset in an external data source. You need to recommend a method to ingest the dataset into Warehouse1…
The correct answer is A. Copy data activity. To ingest a large 1TB dataset from an external source into a Fabric Warehouse with the highest throughput and a low-code/no-code development model, the Copy data activity is the recommended method.
Question
You have a Fabric tenant that contains a warehouse named Warehouse1. You have a large 1 TB dataset in an external data source. You need to recommend a method to ingest the dataset into Warehouse1. The solution must provide the highest throughput and support a low-code/no-code development model. What should you recommend?
Options
- ACopy data activity
- BDataflow Gen2
- CSpark notebook
- DShortcut
How the community answered
(61 responses)- A80% (49)
- B11% (7)
- C5% (3)
- D3% (2)
Why each option
To ingest a large 1TB dataset from an external source into a Fabric Warehouse with the highest throughput and a low-code/no-code development model, the Copy data activity is the recommended method.
The Copy data activity in Fabric pipelines is specifically engineered for high-throughput, scalable data ingestion between various sources and destinations, including external sources to a Fabric Warehouse. It provides a low-code/no-code experience through a guided wizard, making it ideal for moving large volumes of data efficiently with minimal development effort.
Dataflow Gen2 is excellent for data ingestion and transformation using Power Query, but for pure high-throughput data movement without complex transformations, the Copy data activity typically offers better performance and simplicity.
Using a Spark notebook requires coding skills and significant development effort, which contradicts the low-code/no-code requirement.
A Shortcut is a way to reference data from external sources or other Fabric items without physically copying it, thus it's not a method for *ingesting* data into the Warehouse.
Concept tested: Large-scale low-code data ingestion
Source: https://learn.microsoft.com/en-us/fabric/data-factory/copy-data-overview
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