AZ-305 · Question 22 · Domain 2.2: Data Integration
Your data science team uses Azure Databricks. They are building a data lakehouse architecture and need a storage format that supports ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.
They also require the ability to perform 'time travel' (data versioning) to query previous versions of the data for machine learning model reproducibility.
Which storage format should you recommend?
Answer options:
Apache Parquet
Delta Lake
Avro
Azure Synapse SQL pools
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