Databricks Certified Data Engineer - Associate
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Question 3: Which of the following describes how using a data lakehouse can help the data architect meet the needs of both workloads?
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A
A data lakehouse requires very little data modeling.
B
A data lakehouse combines compute and storage for simple governance.
C
A data lakehouse provides autoscaling for compute clusters.
D
A data lakehouse stores unstructured data and is ACID-compliant.
E
A data lakehouse fully exists in the cloud.
Explanation:
Explanation
The correct answer is D because a data lakehouse is specifically designed to address the needs of both data engineering (ETL/ELT workloads) and data science/analytics workloads by:
- Storing unstructured data: Like traditional data lakes, it can handle various data formats including unstructured data
- ACID compliance: Like traditional data warehouses, it provides transactional consistency and reliability
This combination allows data architects to:
- Support data engineering workloads that require flexible data ingestion and processing
- Support analytics workloads that require reliable, consistent data for reporting and analysis
- Eliminate the need to maintain separate data lake and data warehouse systems
Why other options are incorrect:
- A: Data lakehouses still require proper data modeling for optimal performance
- B: While governance is important, combining compute and storage isn't the primary feature that addresses both workload types
- C: Autoscaling is a cloud feature, not specific to lakehouse architecture
- E: Data lakehouses can exist on-premises or in the cloud, not exclusively in the cloud
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