Discuss how you integrated Azure services into your Spark application.
Spark/Big Datahard
2
Discuss stages and tasks in a Spark execution plan.
Spark/Big Datahard
3
Explain Apache Spark fundamentals, OOM scenarios and their resolutions, optimization techniques, strategies for optimized joins, and handling data skewness with Key Salting techniques.
Spark/Big Datahard
4
Explain Azure Databricks architecture and its integration with other Azure services.
Spark/Big Datahard
5
Explain Delta Live Tables and their features, such as declarative pipeline definition and automatic data validation.
Spark/Big Datahard
6
Explain Delta Table features – Z-ordering and Time Travel.
Spark/Big Datahard
7
Explain Delta Time Travel and the purpose of the vacuum command.
Spark/Big Datahard
8
Explain Hive, its purpose, and its default metadata storage.
Spark/Big Datahard
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