Microsoft Azure Data Engineer Associate (DP-203) Cert Prep: 3 Design and Implement Data Security
1h 22mIntermediate2023-08-14
Authors
Microsoft Learn
Build Skills That Open Doors
Tim Warner
Technical Trainer and Content Developer
Course details
The latest professional certifications from Azure are aligned with specific industry roles. Earning your Azure certification helps to validate your unique Azure skill set and increase your value in today's IT job market. Join Microsoft MVP and Microsoft Certified Azure Solutions Architect Tim Warner for an overview of the core concepts and skills required to pass the Microsoft Azure Data Engineer Associate (DP-203) certification exam. In this course, the third in a four-part certification prep series, discover how to design data encryption, auditing, masking, and privacy strategies for your line of business data. Explore design security for data standards and implementation of data security protection and data security access.
Skills covered
Data PrivacyCloud SecurityNetwork SecurityAzureNetwork AdministrationCloud PlatformsCybersecurityCert PrepNetwork and System AdministrationCloud ComputingData ScienceMicrosoft
Concepts
1. Design Security for Data Policies
- 01 - Learning objectives
- 02 - Design data encryption for data at rest and in transit
- 03 - Design a data auditing strategy
- 04 - Design a data masking strategy
- 05 - Design for data privacy
2. Design Security for Data Standards
- 06 - Learning objectives
- 07 - Design a data retention policy
- 08 - Design to purge data based on business requirements
- 09 - Design Azure RBAC and POSIX-like ACL for Data Lake Storage Gen2
- 10 - Design row-level and column-level security
3. Implement Data Security Protection
- 11 - Learning objectives
- 12 - Implement data masking
- 13 - Encrypt data at rest and in motion
- 14 - Implement row-level and column-level security
- 15 - Implement Azure RBAC
- 16 - Implement POSIX-like ACLs for Data Lake Storage Gen2
- 17 - Implement a data retention policy
- 18 - Implement a data auditing strategy
4. Implement Data Security Access
- 19 - Learning objectives
- 20 - Manage identities, keys, and secrets across different data platforms
- 21 - Implement secure endpoints - Private and public
- 22 - Implement resource tokens in Azure Databricks
- 23 - Load a DataFrame with sensitive information
- 24 - Write encrypted data to tables or Parquet files
- 25 - Manage sensitive information