**Databricks-backed**: Secrets stored in Databricks control plane. Simpler setup; no Azure dependency. Use for dev, non-sensitive. **Key Vault-backed**: Secrets stored in Azure Key Vault. Enterprise-grade—rotation, audit, RBAC. Use for production. **Trade-offs**: Key Vault...
This easy-level Cloud/Tools question appears frequently in data engineering interviews at companies like PWC. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Databricks-backed: Secrets stored in Databricks control plane. Simpler setup; no Azure dependency. Use for dev, non-sensitive. Key Vault-backed: Secrets stored in Azure Key Vault. Enterprise-grade—rotation, audit, RBAC. Use for production. Trade-offs: Key Vault provides central key management, compliance (HSM, audit logs), and rotation workflows. Databricks-backed is simpler but doesn't integrate with enterprise PKI. Scalability: Key Vault has rate limits; high-frequency access may need caching. Cost: Key Vault has per-secret and per-operation cost; minimal at typical scale. Best practice: Key Vault-backed in production for compliance; Databricks-backed for dev/test. Use ACLs in both cases.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.