A global logistics firm is implementing a source-driven development model for its Salesforce org, which supports three major business units with independent release schedules. A proposal has been made to use a single Full sandbox as a UAT and Staging environment for all three business units to minimize costs and administrative overhead. As the deployment architect, you are asked to evaluate the primary risk of this consolidated staging approach.
A financial services company is transitioning from a quarterly waterfall release model to a monthly Agile release cycle for their Sales Cloud implementation. The current governance model requires a multi-level Change Advisory Board (CAB) approval that takes, on average, two weeks. This lengthy approval process is incompatible with the new, faster release cadence. Which modification to the governance framework would best support the move to Agile while maintaining necessary oversight?
A development team is using Salesforce DX and a CI/CD pipeline to manage deployments. The pipeline automatically runs all Apex tests, which consistently achieve 90% code coverage. However, during User Acceptance Testing (UAT), users report that complex business processes involving multiple objects and automation rules are frequently failing, despite all underlying Apex classes being fully tested. Which testing strategy should be integrated into the development lifecycle to specifically address this gap?
A project team is deploying a new custom object along with its associated profiles, permission sets, and several Apex classes. They are using the Metadata API with a `package.xml` manifest. The deployment fails with an error indicating that a field on the custom object is not visible to a specific profile, even though the profile XML in the deployment package explicitly grants visibility. What is the most likely cause of this deployment failure?
A large enterprise has multiple, independent teams developing on the Salesforce platform. The central governance team wants to enforce a set of coding standards, prevent the deployment of code with known security vulnerabilities, and ensure a minimum 80% test coverage before any code can be merged into the main release branch. Which combination of tools and processes should the architect recommend to automate this governance policy? (Select TWO)
True or False: Using a destructiveChanges.xml file with the `sf project deploy` command allows for the deletion of metadata components, but if the deployment fails for any reason (e.g., a component to be deployed has an error), the specified destructive changes will still be committed to the target org.
A medical device company is preparing for a major product launch supported by a new application in Salesforce. Due to regulatory compliance requirements, the go-live deployment must have a contingency plan that allows for a near-instantaneous rollback to the pre-deployment state if critical issues are found within the first hour. The deployment consists of new Apex classes, Lightning components, and significant changes to sharing rules on the Account object. Which rollback strategy should the architect primarily rely on to meet this requirement?
A development team uses a Git feature-branching workflow. A developer needs to update a Lightning Web Component and an Apex controller. After creating a feature branch from `main`, they pull the latest metadata from their Developer sandbox, make changes, and push them to the feature branch. They then create a pull request to merge into `main`. The CI process fails during the `sf project deploy validate` step against a CI sandbox. What is the most critical piece of information missing from the developer's process that likely caused this failure? ```mermaid sequenceDiagram participant Dev as Developer participant Git participant CI as CI Server Dev->>Git: Create branch `feature/ABC` from `main` Dev->>Dev: Make code changes in sandbox Dev->>Git: Commit and push to `feature/ABC` Dev->>Git: Create Pull Request `feature/ABC` -> `main` Git->>CI: Trigger build CI-->>CI: Run `sf project deploy validate` CI-->>Git: Report FAILED status ```
A team is managing a complex Service Cloud implementation. They are using Change Sets for deployments but are struggling with several issues: they cannot delete obsolete workflow rules, it's difficult to track which version of a component is in which sandbox, and deployments frequently fail due to missed dependencies. To address ALL of these specific problems, which single tool or technology should be adopted?
A new Salesforce COE (Center of Excellence) is establishing a governance framework. They want to ensure that before any new feature is deployed to production, it has been formally signed off by the business product owner, passed all automated tests, and received a security review. Which governance mechanism is most appropriate for enforcing this multi-stage approval process?