Databricks Certified Data Engineer - Associate
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
In the context of the Databricks Lakehouse Platform, consider a scenario where a large enterprise is transitioning from a traditional data warehouse to a Lakehouse architecture. The enterprise requires a solution that not only manages metadata and data lineage but also enhances data governance and discovery capabilities to support big data processing and analytics workloads. Given these requirements, how does the Databricks Data Catalog function, and what advantages does it offer over traditional data cataloging solutions? Choose the best option from the following:
A
The Databricks Data Catalog operates as a centralized repository for metadata and data lineage, offering similar levels of data governance and discovery as traditional solutions but without any specific optimizations for big data workloads.
B
The Databricks Data Catalog serves as a centralized repository for metadata and data lineage, providing superior data governance and discovery capabilities. It is specifically optimized for big data processing and analytics workloads, making it more efficient and effective than traditional solutions.
C
The Databricks Data Catalog functions as a decentralized repository for metadata and data lineage, offering enhanced data governance and discovery capabilities. Its optimization for big data workloads distinguishes it from traditional cataloging solutions.
D
The Databricks Data Catalog is a decentralized repository for metadata and data lineage, providing similar data governance and discovery capabilities as traditional solutions, with no particular optimizations for big data workloads.