Interview questions
What are the limitations of Assert Transformations in complex data flows?
What scenarios require local variables instead of global ones?
What steps do you take to debug authentication errors in REST API calls?
What strategies do you use to handle network bottlenecks?
What would you do if the files are stored in multiple folders with varying retention policies?
Can you chain multiple triggers for a single pipeline?
Can you provide a use case where Assert Transformations helped maintain data quality?
How do partitioning strategies differ between source and sink?
How do tumbling window triggers ensure data consistency in batch processing?
How do you integrate with an on-premises SQL Server without using SHIR?
What are Assert Transformations, and where are they used?
How can lifecycle management policies complement ADF for this task?
How does Data Flow optimize data transformations for large datasets?
What configurations are needed to pass parameters to a Databricks notebook?
What techniques ensure deduplication in large datasets?
How do you ensure fault tolerance during large-scale data migrations?
How do you pass global variables between pipelines?
How do you use dependency tracing to identify root causes in pipeline failures?
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