Databricks Certified Data Engineer - Associate
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Question 1
Which of the following describes a benefit of a data lakehouse that is unavailable in a traditional data warehouse?
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A
A data lakehouse provides a relational system of data management.
B
A data lakehouse captures snapshots of data for version control purposes.
C
A data lakehouse couples storage and compute for complete control.
D
A data lakehouse utilizes proprietary storage formats for data.
E
A data lakehouse enables both batch and streaming analytics.
Explanation:
Explanation
Correct Answer: E - A data lakehouse enables both batch and streaming analytics.
Why E is correct:
- Data lakehouses are designed to support both batch processing (processing large volumes of data at rest) and streaming analytics (processing data in real-time as it arrives)
- Traditional data warehouses are primarily optimized for batch processing and struggle with real-time streaming workloads
- The lakehouse architecture combines the best of data lakes (flexibility, support for various data types) and data warehouses (ACID transactions, performance)
Why other options are incorrect:
- A: Traditional data warehouses already provide relational systems of data management
- B: Version control and snapshots are not unique to lakehouses; some traditional systems also have these capabilities
- C: Coupling storage and compute is actually a characteristic of traditional data warehouses, not a distinguishing benefit of lakehouses
- D: Lakehouses typically use open formats (like Delta Lake, Parquet) rather than proprietary formats, which is actually an advantage over traditional warehouses
Key Lakehouse Benefits:
- Unified platform for BI, ML, and streaming
- Support for diverse data types (structured, semi-structured, unstructured)
- Open data formats and standards
- Cost-effective storage and compute separation
- ACID transactions on data lakes
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