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Databricks Certified Data Analyst Associate Exam - Topic 1 Question 57 Discussion

Which open-source project helps to enable the data lakehouse by adding organization, reliability, performance, and data governance to data lake architectures?
C) Delta Lake
A) MLflow
B) Apache Spark
D) Databricks SQL

Databricks Certified Data Analyst Associate Exam - Topic 1 Question 57 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 57
Topic #: 1
[All Databricks Certified Data Analyst Associate Questions]

Which open-source project helps to enable the data lakehouse by adding organization, reliability, performance, and data governance to data lake architectures?

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Suggested Answer: C

The correct answer is C because Delta Lake is the open-source storage layer that provides reliability and structure for data lakes. Delta Lake brings ACID transactions, scalable metadata handling, and batch/streaming support to data lake storage, which are core capabilities behind the lakehouse architecture. MLflow is for machine learning lifecycle management, Apache Spark is a distributed processing engine, and Databricks SQL is a Databricks product for SQL analytics, not the open-source storage project described.

Official documentation extract used: Databricks states that Delta Lake is ''open source software'' and provides ''ACID transactions and scalable metadata handling.''


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