Which of the following data lakehouse features results in improved data quality over a traditional data lake?

Which of the following data lakehouse features results in improved data quality over a traditional data lake?
A . A data lakehouse provides storage solutions for structured and unstructured data.
B . A data lakehouse supports ACID-compliant transactions.
C . A data lakehouse allows the use of SQL queries to examine data.
D . A data lakehouse stores data in open formats.
E . A data lakehouse enables machine learning and artificial Intelligence workloads.

Answer: B

Explanation:

A data lakehouse is a data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data12. One of the key features of a data lakehouse is that it supports ACID-compliant transactions, which means that it ensures data integrity, consistency, and isolation across concurrent read and write operations3. This feature results in improved data quality over a traditional data lake, which does not support transactions and may suffer from data corruption, duplication, or inconsistency due to concurrent or streaming data ingestion and processing .

Reference:

1: What is a Data Lakehouse? – Databricks

2: What is a Data Lakehouse? Definition, features & benefits. – Qlik

3: ACID Transactions – Databricks: [Data Lake vs

Data Warehouse: Key Differences]: [Data Lakehouse: The Future of Data Engineering]