DP-203 Develop data processing Practice Question
You are designing a data processing solution for a financial services company. The solution must process sensitive customer data in Azure Databricks with encryption at rest and in transit, and must also support row-level security (RLS). Which combination of features should you use?
⚠ Common exam trap
Many candidates assume row-level security is only available in traditional relational databases like SQL Server or Azure SQL Database, but Delta Lake in Azure Databricks has supported RLS since runtime 10.4 LTS, making it a fully native option for data lakehouse architectures.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Azure Databricks with Delta Lake and enable row-level security on the Delta table
Delta Lake in Azure Databricks now supports row-level security (RLS) natively through Delta Sharing and Spark SQL predicates, allowing you to enforce data access policies directly on the Delta table without external systems. Combined with Azure Databricks' built-in encryption at rest (using Azure Storage Service Encryption or customer-managed keys) and in transit (TLS 1.2+), this meets all requirements without introducing additional services.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure SQL Database with row-level security and connect Databricks via JDBC
Why it's wrong here
This requires moving data out of Databricks, adding latency and complexity.
- ✗
Use Azure Databricks with Azure Key Vault for encryption and implement RLS in application code
Why it's wrong here
Implementing RLS in application code is not a recommended practice for data processing.
- ✗
Use Azure Synapse Analytics dedicated SQL pool with dynamic data masking and always encrypted
Why it's wrong here
This is not the Databricks-native way; RLS is not directly supported in dedicated SQL pool.
- ✓
Use Azure Databricks with Delta Lake and enable row-level security on the Delta table
Why this is correct
Delta Lake in Databricks supports RLS natively, and encryption is handled automatically.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Row-Level Security
Row-Level Security is a database feature that restricts which rows of data a user can see based on their identity or role, acting like a custom filter per person.
Key term
Azure Databricks
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Azure that lets data teams prepare data, run machine learning models, and build data pipelines using a single workspace.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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