Databricks Certified Data Engineer - Associate
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Which of the following is a benefit of the Databricks Lakehouse Platform embracing open source technologies?
Real Exam
Community
KKeng
0
A
Cloud-specific integrations
B
Simplified governance
C
Ability to scale storage
D
Ability to scale workloads
E
Avoiding vendor lock-in
Explanation:
Explanation
Embracing open source technologies provides several key benefits for the Databricks Lakehouse Platform:
-
Avoiding vendor lock-in: This is the primary benefit mentioned in the question. By using open source technologies like Apache Spark, Delta Lake, and MLflow, organizations are not tied to proprietary vendor-specific solutions. This gives them:
- Portability across different cloud providers
- Flexibility to move workloads if needed
- Reduced dependency on a single vendor
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Other benefits of open source in Databricks Lakehouse:
- Community innovation: Leverages contributions from a global community
- Transparency: Source code is open for inspection and customization
- Cost-effectiveness: Often more affordable than proprietary solutions
- Interoperability: Easier integration with other open source tools
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Why other options are not the best answer:
- Cloud-specific integrations: This is actually a benefit of proprietary solutions, not open source
- Simplified governance: While Databricks provides governance features, this isn't specifically tied to open source
- Ability to scale storage/workloads: These are general benefits of cloud platforms, not specifically tied to open source
Key takeaway: The Databricks Lakehouse Platform's use of open source technologies like Apache Spark, Delta Lake, and MLflow helps organizations avoid vendor lock-in while still providing enterprise-grade features and support.
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