Databricks Certified Data Engineer - Associate

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Explanation:

Delta Lake, as part of the Databricks Lakehouse Platform, provides the ability to support both batch and streaming workloads. Delta Lake is a storage layer that brings ACID transactions to Apache Spark and big data workloads. It enables:

Unified batch and streaming: Delta Lake tables can serve as both batch tables and streaming sources/sinks
ACID transactions: Ensures data integrity with atomicity, consistency, isolation, and durability
Schema enforcement and evolution: Prevents bad data from being written and allows schema changes
Time travel: Enables data versioning and rollbacks

While other options may be features of the broader Databricks platform, the specific benefit of supporting both batch and streaming workloads is a core feature provided by Delta Lake itself.

Explanation:

Unified batch and streaming: Delta Lake tables can serve as both batch tables and streaming sources/sinks
ACID transactions: Ensures data integrity with atomicity, consistency, isolation, and durability
Schema enforcement and evolution: Prevents bad data from being written and allows schema changes
Time travel: Enables data versioning and rollbacks

While other options may be features of the broader Databricks platform, the specific benefit of supporting both batch and streaming workloads is a core feature provided by Delta Lake itself.

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Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

Real Exam

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KKeng

Last updated: January 13, 2026 at 09:03

The ability to manipulate the same data using a variety of languages

6.8%

The ability to collaborate in real time on a single notebook

2.5%

The ability to set up alerts for query failures

The ability to support batch and streaming workloads

84.7%

The ability to distribute complex data operations