Development-Lifecycle-and-Deployment-Architect Practice Test

Explanation:

The org development model is a traditional approach that uses sandboxes as the primary development environments. It relies on tools such as change sets, the Ant Migration Tool, or the Metadata API to deploy changes between orgs. One of the benefits of this model is that it allows automated deployment, meaning that the deployment process can be scripted and executed without manual intervention. This can save time and reduce errors. Another benefit of this model is that it allows automated sandbox provisioning, meaning that the creation and configuration of sandboxes can be done programmatically using the Sandbox API or the Salesforce CLI. This can help maintain consistency and alignment across different environments. Automated defect fixing and automated change tracking are not characteristics of the org development model, but rather of the package development model, which uses source code as the source of truth and supports source tracking and automated testing.

Explanation:

In the post refresh plan, modifying external ids to a known valid set of values for UAT is the best way to resolve the issue of objects that have external ids from production no longer pointing to valid external ids in the UAT environment. This way, the data integrity and consistency across the integrated systems can be maintained. Letting UAT point to production integrations and rolling back each transaction after it finishes is not a good practice, as it can cause data loss or corruption in production. Deleting all the data and using an automated testing tool to create new data across all the systems in UAT is not feasible, as it can take a lot of time and resources. Masking the external id so nobody can see the production value is not a solution, as it does not address the underlying problem of invalid references.

Explanation:

Designing the right sandbox strategy for the release is a best practice, as it helps to ensure the quality and consistency of the code/configuration across different environments. Regression testing is mandatory for each release, as it helps to verify that the existing functionality is not broken by the new changes. Maintaining a pre/post deployment checklist for each release is a best practice, as it helps to track the tasks and dependencies for each deployment. Release sign-off is not only required for Production, but also for other environments such as UAT and Staging. Publishing a release calendar for each phase of the release is not a best practice, as it may change due to unforeseen circumstances and create confusion.

Explanation:

The advantages of the package development model are improving team development and collaboration, facilitating automated testing and continuous integration, and significantly reducing the need for manually tracking changes. The package development model allows the developers to work on modular and reusable components that can be easily tested and deployed. The package development model does not eliminate the need of using change sets, as they can still be used for deploying non-packaged components or metadata. The package development model does not provide its own source control, but rather relies on external source control systems such as Git.

Explanation:

Change sets for minor releases and metadata API for major releases is the best deployment tool recommendation for both types of releases. Change sets are a native Salesforce tool that allows the team to deploy configuration changes between connected orgs. They are suitable for minor releases that have simple configuration changes, such as adding fields, objects, or workflows. Metadata API is a more advanced tool that allows the team to deploy both configuration and code changes between any orgs. It is suitable for major releases that have large number of complex code components, such as Apex classes, triggers, Visualforce pages, or Lightning components.