Databricks Certified Data Engineer - Associate
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Why can't a data engineer access a temporary view created in one Spark SQL session from another session?
Explanation:
Temporary views in Spark SQL are session-scoped, meaning they only exist for the duration of the session in which they were created. This design ensures that temporary views are used for transient, session-specific tasks without consuming resources beyond their intended scope. For views that need to be accessed across sessions, consider using a global temporary view instead.