Techigai Azure Data Engineer Interview Questions, Process, and Tips

ADF pipelines have several error handling mechanisms to ensure data integrity and pipeline reliability.

• ADF provides built-in retry mechanisms for transient errors such as network connectivity issues or service outages.

• ADF also supports custom error handling through the use of conditional activities and error outputs.

• Error outputs can be used to redirect failed data to a separate pipeline or storage location for further...read more

Window functions are used to perform calculations across a set of rows in a table.

• Window functions are used to calculate values based on a subset of rows within a table

• They are used to perform calculations such as running totals, ranking, and moving averages

• Examples of window functions include ROW_NUMBER(), RANK(), and SUM() OVER()

Incremental load is a process of updating only the new or changed data in a target system. Other types of loads include full load and delta load.

• Incremental load reduces the time and resources required to update the target system.

• Full load loads all the data from the source system to the target system.

• Delta load loads only the changed data from the source system to the target system.

• In ADF pipeline, incremental load ca...read more

IF Else activity can be implemented using the Switch activity in Azure Data Factory.

• Create a Switch activity in your pipeline

• Define the condition in the expression field

• Add cases for each condition with corresponding activities

• Add a default activity for cases that do not match any condition