Databricks Certified Data Engineer - Associate

A lakehouse combines the best aspects of data lakes (supporting unstructured data like video, flexible storage formats) and data warehouses (ACID transactions, schema enforcement, and reliable governance), making it well-suited for both video-based machine learning and highly audited batch ETL/ELT workloads. Specifically, it can store large unstructured data such as video and still provide ACID transactions and schema enforcement for audited batch operations. Option A is incorrect because modeling is still important; option B is incorrect because lakehouses decouple compute and storage (not combine) for scalability and governance; option C is true of some platforms but not a defining characteristic addressing the requirement; option E is not universally true and is not relevant to the workload needs.