Use the database administrator’s perspective
DP-300 concerns administering Microsoft Azure SQL solutions and the operational responsibilities surrounding SQL Server and Azure SQL services. The role includes security, availability, performance, automation and migration decisions. On 25 October 2026 the official guide already displays a 27 October update, so check the outline applicable to your examination date. A current preparation plan should identify the database services in scope rather than treating every Azure data service as interchangeable. SQL fundamentals and practical administration experience are more useful starting points than memorising a catalogue of options.
Select a service from actual requirements
Use a fictional application moving from an on-premises SQL Server deployment. Identify compatibility requirements, instance-level dependencies, operating-system access, maintenance ownership and recovery objectives. Compare Azure SQL Database, Azure SQL Managed Instance and SQL Server on Azure virtual machines against those constraints. Record an explicit reason for the chosen approach and a reason each alternative was rejected. The exercise is not to declare one service universally best; it is to make the trade-off visible and verify the assumptions that could invalidate it.
Establish least-privilege access and a baseline
Create a disposable database containing fabricated customer and order data. Define separate administrative, application and reporting responsibilities. Test the application’s normal operations and a prohibited administrative action under its intended identity. Capture a performance baseline before changing indexes, configuration or capacity. Include workload volume, query duration and resource observations. A baseline protects you from mistaking normal variation for an improvement and gives incident responders a reference when users report that the application has become slow.
Diagnose performance before increasing capacity
Introduce a deliberately inefficient query in the lab and inspect its execution behaviour using relevant SQL tools and documented methods. Compare the query plan, data access and resource use before proposing a change. Modify one factor, rerun the same workload and assess both benefit and side effects. A new index can improve one query while adding write or storage cost. Explain the evidence and limitations in the project notes. Avoid presenting capacity scaling as the default remedy when the cause has not been established.
Prove recovery and automate with controls
Define a recovery case such as an accidental table change and restore into an authorised safe destination. Validate the required records and application access after restoration; do not stop at a successful job message. Record elapsed time and the point in time recovered. For recurring administration, document the identity, schedule, failure behaviour and alert owner of an automated task. Test the failure path deliberately. Automation should make operational work repeatable while preserving evidence of what happened and what requires human attention.
Plan migration and readiness as separate checkpoints
A migration rehearsal should include assessment, data movement, application verification, cutover ownership and rollback criteria. Compare row counts or business totals, and test representative queries after the move. For examination preparation, map the applicable DP-300 objectives to those project artefacts and fill gaps with official learning material. Is DP-900 a formal prerequisite? Microsoft presents data fundamentals as preparation rather than a required gate; verify the current credential page for requirements. Is a successful restore enough to certify a production recovery plan? No: broader dependencies and business approval still require testing. Finish with official practice resources and the exam sandbox.
Official references
Certification requirements and programme terms can change. Use the issuer’s current page and your account to confirm details before applying or paying.