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Answer: The ability to support batch and streaming workloads
Delta Lake provides the ability to support both batch and streaming workloads through its unified batch and streaming data processing capabilities. Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads. It enables: - **Unified batch and streaming**: Delta Lake can handle both batch and streaming data ingestion and processing - **ACID transactions**: Ensures data integrity and consistency - **Schema enforcement and evolution**: Maintains data quality - **Time travel**: Allows querying of historical data versions - **Scalable metadata handling**: Efficiently manages metadata for large datasets The other options describe features of the broader Databricks platform: - A: Multi-language support is provided by Databricks notebooks - B: Real-time collaboration is a Databricks workspace feature - C: Query failure alerts are part of Databricks monitoring and alerting - E: Distributed operations are handled by Apache Spark
Author: Keng Suppaseth
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Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
A
The ability to manipulate the same data using a variety of languages
B
The ability to collaborate in real time on a single notebook
C
The ability to set up alerts for query failures
D
The ability to support batch and streaming workloads
E
The ability to distribute complex data operations