Which of the following describes Delta Lake?

Study for the Databricks Fundamentals Exam. Prepare with flashcards and multiple choice questions, each complete with hints and explanations. Ensure your success on the test!

Delta Lake is an open-source, file-based storage format that extends the capabilities of traditional data lakes. It provides features like ACID transactions, scalable metadata handling, and schema enforcement, making it suitable for both batch and streaming data processing. Delta Lake builds on top of existing data lakes and leverages the Parquet format, allowing users to maintain the flexibility of a data lake while ensuring data reliability and consistency.

This choice highlights its open-source nature, which encourages community contributions and integrations with various big data tools and services. It supports interactive analytics and provides the benefits of transactional support on top of the file-based storage available in data lakes.

In contrast, options describing Delta Lake as proprietary, cloud-only, or limited to batch processing fail to capture its versatility and broader applications in managing both batch and streaming workloads, as well as its compatibility beyond just one specific storage service model.

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