Ultimate access to all questions.
Answer-first summary for fast verification
Answer: A data lakehouse supports ACID-compliant transactions.
**Correct Answer: B** **Explanation:** A data lakehouse improves data quality over traditional data lakes primarily through **ACID-compliant transactions**. Here's why: 1. **ACID Transactions Ensure Data Consistency**: ACID (Atomicity, Consistency, Isolation, Durability) properties guarantee that data operations are reliable and consistent. This prevents data corruption and ensures data integrity during concurrent read/write operations. 2. **Traditional Data Lakes Lack ACID**: Traditional data lakes typically don't support ACID transactions, which can lead to data quality issues like: - Partial writes during failures - Inconsistent reads during concurrent writes - Data corruption from concurrent modifications 3. **Other Options Analysis**: - **A**: Storage for structured/unstructured data is common to both data lakes and lakehouses - **C**: SQL query capability is useful but doesn't inherently improve data quality - **D**: Open formats enable interoperability but don't guarantee data quality - **E**: ML/AI support is a workload capability, not a data quality feature 4. **Databricks Implementation**: In Databricks Lakehouse Platform, Delta Lake provides ACID transactions through: - Transaction logs - Versioning - Schema enforcement - Data validation This ACID compliance is a key differentiator that directly addresses data quality challenges in traditional data lakes.
Author: Keng Suppaseth
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.
No comments yet.