AZ-305 · Question 25 · Domain 2.2: Design Data Integration
Your data engineering team is building a 'Lakehouse' architecture using Azure Databricks.
They need a storage format that supports ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It must also allow them to perform 'time travel' queries to view previous versions of the data.
Which data format should you recommend?
Answer options:
Parquet
Delta Lake
Avro
JSON
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