HOTSPOT – You have an Azure Synapse Analytics pipeline named Pipeline1 that contains a data flow activity named Dataflow1. Pipeline1 retrieves files from an Azure Data Lake Storage Gen 2 account named storage1. Dataflow1 uses the AutoResolveIntegrationRuntime integration runtime configured with a core count of 128. You need to optimize the number of cores used by Dataflow1 to accommodate the size of the files in storage1. What should you configure?…

QuestionsCategory: DP-203HOTSPOT – You have an Azure Synapse Analytics pipeline named Pipeline1 that contains a data flow activity named Dataflow1. Pipeline1 retrieves files from an Azure Data Lake Storage Gen 2 account named storage1. Dataflow1 uses the AutoResolveIntegrationRuntime integration runtime configured with a core count of 128. You need to optimize the number of cores used by Dataflow1 to accommodate the size of the files in storage1. What should you configure?…
Admin Staff asked 4 months ago
HOTSPOT -
You have an Azure Synapse Analytics pipeline named Pipeline1 that contains a data flow activity named Dataflow1.
Pipeline1 retrieves files from an Azure Data Lake Storage Gen 2 account named storage1.
Dataflow1 uses the AutoResolveIntegrationRuntime integration runtime configured with a core count of 128.
You need to optimize the number of cores used by Dataflow1 to accommodate the size of the files in storage1.
What should you configure? To answer, select the appropriate options in the answer area.
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Suggested Answer: 
    Correct Answer Image

Box 1: A Get Metadata activity -
Dynamically size data flow compute at runtime
The Core Count and Compute Type properties can be set dynamically to adjust to the size of your incoming source data at runtime. Use pipeline activities like
Lookup or Get Metadata in order to find the size of the source dataset data. Then, use Add Dynamic Content in the Data Flow activity properties.
Box 2: Dynamic content -
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/control-flow-execute-data-flow-activity

This question is in DP-203 Data Engineering on Microsoft Azure Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate


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