Databricks Certified Data Engineer - Associate

Explanation

Delta Lake is correctly described as "an open format storage layer that delivers reliability, security, and performance" (Option B). Here's why:

• Delta Lake is an open-source storage layer that sits on top of data lakes and provides ACID transactions, scalable metadata handling, and unified streaming and batch data processing.

• Option A is incorrect because this describes Apache Spark, not Delta Lake. Spark is the analytics engine, while Delta Lake is the storage layer.

• Option C is incorrect because this describes MLflow, which is a separate platform for managing the machine learning lifecycle.

• Option D is partially correct but incomplete. While Delta Lake is indeed an open-source data storage format for distributed data, the most accurate and comprehensive description is Option B, which emphasizes its role as a storage layer delivering reliability, security, and performance.

• Option E is incorrect because Delta Lake doesn't process data - it stores data. Data processing is handled by engines like Apache Spark.

Delta Lake's key features include:

• ACID transactions
• Schema enforcement and evolution
• Time travel (data versioning)
• Unified batch and streaming
• Data reliability and quality