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What is the primary benefit of combining serverless compute with Delta Live Tables (DLT) in Azure Databricks for large-scale data pipelines?
Manual control over fixed cluster sizes for predictable capacity.
Elastic scaling with reduced infrastructure management and parallel execution of transformations.
Improved user interface customization options for notebooks.
Which action best enables cost-based optimization (CBO) to choose efficient query plans in Azure Databricks?
Run ANALYZE TABLE to refresh table and column statistics regularly.
Disable data partitioning to avoid data skew.
Turn off caching to ensure queries always read from disk.
In a Delta Live Tables (DLT) pipeline implementing Change Data Capture (CDC), which pattern should you use to synchronize source changes into a target Delta table?
Overwrite the entire target table on each run to guarantee freshness.
Use a MERGE operation on a business key with whenMatchedUpdateAll and whenNotMatchedInsertAll.
Apply a cross join to replicate rows across all partitions.
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