Databricks Certified Data Engineer - Associate

The correct answer is E - Avoiding vendor lock-in.

Explanation:

1. Open Source Foundation: Databricks Lakehouse Platform embraces open source technologies like Delta Lake, Apache Spark, and MLflow, which are open-source projects. This approach prevents vendor lock-in by allowing users to work with standard, portable formats and tools.

2. Portability: With open-source formats like Delta Lake tables, data can be read and processed by other tools and platforms, not just Databricks. This gives organizations flexibility and prevents them from being tied to a single vendor's proprietary ecosystem.

3. Community Standards: Open source technologies follow community-driven standards rather than proprietary formats, making it easier to migrate workloads or use multiple cloud providers.

4. Other Options Analysis:

   • A (Cloud-specific integrations): This is actually a characteristic of proprietary solutions, not a benefit of open source.
   • B (Simplified governance): While Databricks provides governance features, this is not specifically a benefit of embracing open source technologies.
   • C (Ability to scale storage) & D (Ability to scale workloads): These are general cloud computing benefits, not specifically tied to open source adoption.

5. Reference: The provided answer confirmation references a blog post about breaking free from vendor lock-in with open-source technology, which aligns with this understanding.