A: A data entity is an AOT artifact that abstracts business data for import/export and OData. It’s used with the Data Management Framework to stage, validate, and load data safely during migrations or integrations.

A: Use OAuth-based authentication, certificate or managed identity for Azure integrations, use secure endpoints (HTTPS), enforce role and privilege checks, and implement retry/idempotency in middleware.

A: Capture trace and SQL execution plan, review indexes and table statistics, analyze batch job steps for inefficient queries or loops, adjust indexes or refactor logic, and test improvements in a staging environment.

A: Use Azure DevOps for source control, CI builds, and release pipelines; use LCS for environment management and package deployment; automate builds and tests and follow branching strategies for release management.

Basic understanding of object-oriented programming, familiarity with SQL and Azure concepts, and exposure to Dynamics 365 functional concepts is recommended.

No vendor can guarantee certification, but this course aligns to Microsoft’s skills measured and includes practice exams and labs to prepare students. Check the official study guide for any exam updates.

Labs run in provisioned sandbox environments (LCS dev boxes or hosted sandboxes); students get guided steps, code samples, and CI/CD pipeline examples.

Candidates with prior Dynamics experience may need 4–8 weeks (part-time) including labs and practice exams; novices should expect longer. Verify current exam objectives and schedule practice tests.