DP-500 · Question #70
Changing the source to use AzureStorage.DataLake will reduce the load time of the query. Select Yes if the statement is true. Otherwise, select No.
The correct answer is A. Yes. Switching the data source connector to AzureStorage.DataLake will reduce query load times due to its optimized architecture for analytical workloads.
Question
Options
- AYes
- BNo
How the community answered
(40 responses)- A93% (37)
- B8% (3)
Why each option
Switching the data source connector to `AzureStorage.DataLake` will reduce query load times due to its optimized architecture for analytical workloads.
`AzureStorage.DataLake` is designed for Azure Data Lake Storage Gen2, which offers significant performance advantages for analytical queries and large datasets compared to traditional Azure Blob Storage connectors, by reducing latency and increasing throughput for data retrieval.
Not using `AzureStorage.DataLake` or a similar ADLS Gen2 connector for analytical workloads often results in slower performance due to the flat namespace and less optimized access patterns of standard blob storage.
Concept tested: Azure Data Lake Storage Gen2 performance benefits
Source: https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
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