Databricks Quiz — Mastering Governance, Security & Scaling

1. Which strategy is recommended for optimizing large-scale streaming workloads in Databricks?

2. How does Delta Lake ensure data reliability in multi-user environments?

3. Which Databricks feature allows integration of ML pipelines with reproducible experiments?

4. What is the main benefit of using Z-Ordering in Delta Lake tables for large datasets?

5. In Databricks, what is the recommended approach to handle skewed joins?

6. Which multi-cloud feature does Databricks support for consistent workspace management?

7. How can you improve Databricks job reliability and prevent failures due to transient errors?

8. Which technique is best for handling historical and late-arriving data in Delta Lake?

9. How can you monitor and optimize cluster performance in production?

10. Which is a best practice for secure, multi-tenant Databricks environments?