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Azure Data Factory Online Test

Topics Covered

  • Deployment
  •  Rest API
  • Custom Activity Development
  • Migration
  •  Features
  • Data Management Gateway

Useful for hiring

  • Azure Data Developer
  • Azure Developer- Data Factory
  • Sr. Software Developer - Azure Data Factory

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Question

I want to slice the blob based on month, year, day. I have files named as myblobcontainer/log_20151231_144229.csv which is clearly YYYYMMDD_HHMMSS.

I want to process files hourly, not re-process anything, and ideally not have to work around too much restructuring my blobs. How should I accomplish this scenario?

Answer
    • Set folder path as $$Text.Format('myblobcontainer/log_{YYYYMMDD_HHMMSS}', WindowStart)

    • Set activity source as $$Text.Format('myblobcontainer/log_{0:yyyyMMdd}', WindowStart)

    • Set folder path as $$Text.Format('myblobcontainer/log_{0:yyyyMMdd}', WindowStart)

    • Create a custom C# activity to parse the files before copying

Question

I have recently started working on Azure Data Factory and currently exploring the JSON structures of various objects in Data Factory. I'm currently looking at the JSON structure for defining the pipeline. Which of the following properties are non-mandatory in pipeline JSON definition?

Note: There can be multiple correct answers to this question.

Answer
    • name

    • description

    • expirationTime

    • dataSets

Question

I have created a pipeline now I want to deploy it to 3 different environments (Dev, Test, Prod). How to dynamically achieve this functionality without changing the JSON code? Which is the optimal solution?

Answer
    • Create separate custom C# utility to replace the creds and parameters as per environments

    • Create a separate version of all objects for all 3 environments

    • Create 3 configuration file in Visual Studio which will have creds and parameters respective to environments

    • Create PowerShell deploy script to replace string values in JSON dynamically

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