Platform Development Lifecycle and Deployment Architect Intermediate Practice Exam: Medium Difficulty 2025

A large enterprise uses a single packaging org and multiple development teams. They are frequently blocked because unrelated features must wait for a shared release branch to stabilize. The architect wants to reduce cross-team dependency while still promoting changes through standardized environments. What approach best addresses this problem?

A team is modernizing its delivery process. They currently deploy metadata manually to sandboxes and production, and outages have occurred due to missing post-deployment steps and inconsistent settings. They want repeatable deployments with approvals and auditability. What is the best solution?

A company is planning a major Salesforce program with multiple workstreams. They want to ensure each increment is releasable and that technical debt is visible early. Which planning practice best supports these goals?

A company plans to deliver 20+ releases per year across Sales Cloud customizations and a managed package. They want to reduce deployment failures by validating dependencies and identifying environment drift before deployment windows. What should the architect recommend?

A Salesforce org supports both regulated and non-regulated business units. The regulated unit requires stricter change control, evidence of testing, and approval before production deployment. The non-regulated unit wants faster iteration. What system design best balances both needs?

A team frequently experiences merge conflicts and deployment errors because developers build directly in sandboxes and retrieve metadata late. The architect wants a design that makes source control the system of record and enables reproducible environments for development and review. What should they do?

A developer adds a new Apex trigger and a supporting class. Unit tests pass in the developer sandbox, but the build fails in the CI environment because required custom metadata records are missing. What is the best way to prevent this recurring issue?

A team needs to deploy a change that includes metadata plus a data update (reference data needed by flows). They want a repeatable approach that works across sandbox, staging, and production with minimal manual steps. What should they implement?

A company wants faster feedback on pull requests. They need confidence that changes won’t break existing functionality, but running all tests for every PR is slow. What testing strategy best fits this requirement?

After deploying a new feature, a critical issue is discovered in production. The team needs a safe rollback strategy that minimizes downtime and preserves auditability. Which approach is most appropriate?