nerdexam
Microsoft

DP-700 · Question #3

You need to recommend a method to populate the POS1 data to the lakehouse medallion layers. What should you recommend for the Bronze layer?

The correct answer is C. A pipeline Copy activity. To populate the Bronze layer of a lakehouse with POS1 data, a pipeline Copy activity is the most suitable method.

Design and implement data ingestion and transformation

Question

You need to recommend a method to populate the POS1 data to the lakehouse medallion layers. What should you recommend for the Bronze layer?

Options

  • AA Dataflow Gen2 dataflow
  • BA notebook
  • CA pipeline Copy activity
  • DA pipeline stored procedure

How the community answered

(15 responses)
  • A
    7% (1)
  • C
    87% (13)
  • D
    7% (1)

Why each option

To populate the Bronze layer of a lakehouse with POS1 data, a pipeline Copy activity is the most suitable method.

AA Dataflow Gen2 dataflow

A Dataflow Gen2 dataflow is primarily used for data transformation and cleansing, which is more aligned with the Silver or Gold layers of a medallion architecture, not the raw ingestion phase of the Bronze layer.

BA notebook

A notebook, typically utilizing Apache Spark, is suitable for complex data transformations, processing, and analysis, which is an overkill for the simple raw data ingestion required for a Bronze layer.

CA pipeline Copy activityCorrect

A pipeline Copy activity is specifically designed for efficient, large-scale data movement between various sources and destinations with minimal transformation. This makes it ideal for populating the Bronze layer of a lakehouse, which typically involves direct, raw ingestion of source data like POS1.

DA pipeline stored procedure

A pipeline stored procedure activity executes SQL stored procedures, which is not a native or efficient mechanism for ingesting raw data from external systems into a lakehouse.

Concept tested: Data Ingestion for Lakehouse Bronze Layer

Source: https://learn.microsoft.com/en-us/fabric/data-factory/copy-data-activity

Topics

#Lakehouse architecture#Medallion architecture#Data ingestion#Data Pipelines

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