DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your company uses Azure Databricks for data processing. You need to ensure that spark jobs cannot access certain storage accounts. What is the most secure approach?
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 RBAC to grant specific storage account permissions to the Azure Databricks managed identity.
The most secure approach is to use Azure RBAC to grant specific storage account permissions to the Azure Databricks managed identity. This follows the principle of least privilege by granting only the required permissions to the identity used by the spark jobs. Option A is less secure because storing keys in Key Vault still requires managing secrets and the keys provide broad access. Option B (shared access keys) also provides broad access and is not recommended. Option D (disabling public network access) controls network-level access but does not prevent access from authorized networks or services that are allowed; it does not specifically restrict spark job access within Databricks. Therefore, option C is the most secure and best practice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store storage account keys in Azure Key Vault and retrieve them in notebooks.
Why it's wrong here
Keys still provide broad access.
- ✗
Use shared access keys and restrict their usage.
Why it's wrong here
Shared keys provide full access and are less secure.
- ✓
Use Azure RBAC to grant specific storage account permissions to the Azure Databricks managed identity.
Why this is correct
RBAC provides fine-grained access control using managed identities.
- ✗
Disable public network access on storage accounts.
Why it's wrong here
This doesn't differentiate between jobs.
Quick reference
Access Control Model Comparison
| Model | Acronym | Who Controls Access? | Best For |
|---|---|---|---|
| Discretionary Access Control | DAC | Resource owner | Small teams, file shares |
| Mandatory Access Control | MAC | System / security labels | Classified govt / military |
| Role-Based Access Control | RBAC | Administrator (via roles) | Enterprise environments |
| Attribute-Based Access Control | ABAC | Policy engine (user + resource attributes) | Fine-grained, dynamic policies |
| Rule-Based Access Control | RuBAC | System rules / ACLs | Firewall rules, network ACLs |
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
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.
Key term
Azure RBAC for Data
Azure RBAC for Data is a security system that controls who can read, write, or manage data in Azure storage services using role-based permissions.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.