Development-Lifecycle-and-Deployment-Architect Questions and Answers

According to the [Salesforce Performance Testing Guide], performance tests must be run in a sandbox, a business justification must be provided to Salesforce, and performance tests may be run without advanced notice, but Salesforce will not store performance logs. Salesforce does not need to be informed 7 days before starting performance tests, and Salesforce will not monitor test activity to ensure there are no issues with Salesforce Services.

Utilizing a dedicated developer pro sandbox to address critical bugs and release to production is the recommended release management strategy, as it allows the development team to work on the new project without being interrupted by the bug fixes, and also ensures that the bug fixes are deployed to production as soon as possible. Including fixes for critical bugs in the ongoing development sandboxes is not recommended, as it may delay the release of the bug fixes and also introduce conflicts with the new code. Keeping teams separate until the end of the project and creating a full copy sandbox to merge their work then is not recommended, as it may create a lot of merge conflicts and integration issues. Addressing critical bugs in the development sandboxes and pushing those changes to production separately is not recommended, as it may create inconsistencies between the development and production environments.

The best practice for moving classes between packages is to set them as deprecated in the source package and recreate them in the target package. This way, the existing subscribers of the source package will not be affected by the change, and the new subscribers of the target package will get the updated classes. Moving the classes directly or changing their names can cause compilation errors and dependency issues.

The partner can use Developer Edition or Partner Developer Edition for development of the managed package. These environments allow the creation of a namespace and the packaging of components into a managed package. Developer sandbox and Developer Pro sandbox do not support these features and are not suitable for developing a managed package.

 D is the correct answer, as the Agile methodology is the best way to handle a project with a fixed deadline and a changing scope, such as retiring a business-critical application that will no longer be supported. The Agile methodology allows for frequent feedback, iterative development, and adaptive planning, which can help to deliver a working solution on time and within budget. A is incorrect, as executive leadership is not a methodology, but a role that can support the project. B is incorrect, as a requirements traceability matrix is a tool that can help to track the requirements and their fulfillment, but not a methodology. C is incorrect, as a business continuity plan is a document that outlines how to resume business operations in the event of a disruption, but not a methodology. You can learn more about the Agile methodology in the Agile Basics module on Trailhead.

The best deployment tool for UC to use to manage their deployment process in an automated fashion is the Force.com Migration Tool, as it is a command-line tool that uses the Metadata API to deploy components from one org to another, and can be integrated with version control systems and continuous integration servers. Option A is not a good choice, as Workbench is a web-based tool that does not support automation or scripting. Option C is not a good choice, as Change Sets are a point-and-click tool that require manual steps to create and deploy. Option D is not a good choice, as Force.com IDE is a desktop tool that does not support automation or scripting.

The best environment for developing a new feature in an org with unlocked packages is a scratch org with the package code that will be changed and its dependencies. A scratch org is a source-driven and disposable deployment of Salesforce code and metadata that is fully configurable and can be created quickly. A scratch org can also install unlocked packages and their dependencies, which can help ensure compatibility and functionality of the new feature. A Developer Pro sandbox is not a good option, as it is not source-driven and can have outdated or conflicting data and metadata.

Presenting the feature requests at a Center of Excellence meeting and creating the backlog or priority list in a project management tool are two options that can help to get feedback and prioritize the requests. A Center of Excellence meeting can provide a forum for discussing the business value, feasibility, and impact of the requests with the stakeholders. A project management tool can help to track, organize, and prioritize the requests based on the agreed criteria.

 An application with many systems and inter-dependencies between components is a project situation that favors a waterfall methodology, as it requires a high level of planning and design upfront to ensure the integration and compatibility of the components. An application with regulatory compliance requirements to be validated by outside agencies is also a project situation that favors a waterfall methodology, as it requires a clear and detailed documentation of the requirements and specifications, as well as a formal and rigorous testing and validation process. An application in post-production, with incremental changes made by a small team is a project situation that favors an agile methodology, as it allows for faster and more frequent delivery of changes, as well as more flexibility and collaboration. An in-house application with a fixed team size, but an open timeline and flexible requirements is also a project situation that favors an agile methodology, as it allows for more creativity and experimentation, as well as more feedback and adaptation.

Two advantages of automated test data loads over manual data loads are that automated loads can be done with no human oversight and that automated loads are reliable in their results. Automated loads can be scheduled and executed without human intervention, which saves time and effort. Automated loads can also ensure that the data is consistent and accurate, which reduces errors and risks. Automated loads do not necessarily increase costs, as they can also save money in the long run by improving efficiency and quality. Automated loads can also be scripted by CICD tools, which is one of the benefits of using them.

 DOM changes introduced by a release can cause automated browser tests to need updating, as they can affect the way the browser interacts with the web page elements and the selectors used to identify them. New standard fields, metadata schema changes, and new Apex methods are not likely to affect automated browser tests, as they are mostly related to the backend functionality and data model of Salesforce. See [Automated Browser Testing] for more details.

 Using a Source Control system alongside a multi-sandbox development strategy has several advantages, such as performing code reviews before promoting to a pre-production sandbox, keeping a history of changes made by each developer, and creating a branching strategy that tracks each feature or change separately. Automatically deploying changes from sandbox to production is not an advantage of Source Control, but rather a function of a Continuous Integration tool. Acting as a backup in case of catastrophic data loss is not an advantage of Source Control, but rather a benefit of having a sandbox strategy.

Minor changes should be thoroughly documented and follow some type of standard cadence, as this can help maintain the audit trail and visibility of the changes. All changes should still be tested, even if they are minor, as they can have unexpected impacts on other parts of the system or introduce bugs or security issues. Downstream environments will not be automatically updated when production changes are made, so it is important to have a strategy to keep them in sync and avoid conflicts or overwrites. Minor changes do not need to be documented and can be made at any time is a wrong statement, as it can lead to poor governance and lack of accountability. CI/CD is not required to successfully manage minor changes, although it can help automate and streamline the process. See Application Lifecycle and Deployment for more details.

A single-org strategy is the best option for UC, as it will enable them to achieve business process standardization among all business units, which is the main goal of the CEO. A multi-org strategy would make it harder to enforce consistent processes and policies across the different business units, and would also increase the costs and complexity of managing multiple orgs. A common managed package could help with some aspects of standardization, but it would not cover all the possible scenarios and customizations that UC might need.

 To support application lifecycle methodology, you need tools that can help you manage the source code, automate the deployment process, and track the issues and bugs. A version control repository is a tool that allows you to store, track, and collaborate on the source code of your application. A continuous integration tool is a tool that allows you to automate the deployment of your code to different environments, as well as run tests and validations. An issue tracking tool is a tool that allows you to record, monitor, and resolve the issues and bugs that arise during the development and testing phases. A database management system is a tool that allows you to store, manipulate, and query data, but it is not directly related to application lifecycle methodology. A middleware is a software layer that facilitates communication and data exchange between different applications, but it is not directly related to application lifecycle methodology either.

The best deployment strategy for UC to use in this environment is to refresh the developer’s sandbox, develop changes, refresh the common sandbox, deploy to the common sandbox, test changes, as this will ensure that the developer’s sandbox has the latest production data and metadata, and that the common sandbox has the latest production data and metadata as well as the developer’s changes, before testing and deploying to production. Option B is not correct, as refreshing the developer’s sandbox after testing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option C is not correct, as refreshing the developer’s sandbox after developing the changes will erase the changes and make them unavailable for deployment to the common sandbox. Option D is not correct, as refreshing the common sandbox before developing the changes will make the common sandbox out of sync with the production data and metadata.

The reason why the Apex classes are not able to access the metadata of the target org during testing is that UC needs to get the managed package certified by the Salesforce security review. This is because Apex code in a managed package can only access the metadata of the target org if the package has passed the security review and has been granted the Modify Metadata permission. See Apex Metadata API for more details.

 Creating a Center of Excellence with a charter document is a recommended practice for managing multiple projects and aligning them with the business goals and roadmap. A Center of Excellence is a cross-functional team that provides guidance, support, and governance for the Salesforce ecosystem. A charter document defines the vision, mission, roles, and responsibilities of the Center of Excellence.

The recommended strategy for deploying a large volume of metadata is to identify metadata dependencies, create logical groupings, and deploy in the right order. This can help avoid errors and ensure a smooth deployment process.

The responsibility of the Technical Architect within a Change Control Board meeting is to approve the upcoming release for deployment into production, as they are the ones who have the authority and expertise to evaluate the quality and readiness of the release2. Option A is not correct, as prioritizing the Salesforce product roadmap with business stakeholders is not a task that is done in a Change Control Board meeting, but rather in a strategic planning session. Option B is not correct, as conducting code reviews for projects in the development phase is not a task that is done in a Change Control Board meeting, but rather in a code review session. Option C is not correct, as troubleshooting deployment errors that occurred during the last release is not a task that is done in a Change Control Board meeting, but rather in a post-deployment review session.

Maintaining separate developer branches for minor and major releases, maintaining a single repository for applications with individual branches for projects, and maintaining a single-entry point for production from the master branch are three best practices that UC should consider for version control. These practices help to:

• Isolate and manage different types of changes in separate branches, such as bug fixes, enhancements, or new features1.
• Organize and track the code and configuration for each application and project in a logical and consistent way2.
• Ensure that the master branch reflects the current state of production and that only tested and approved changes are deployed to production

Multiple triggers on the same object can cause conflicts and performance issues. Multiple unit test failures can indicate poor code quality and lack of maintenance. Duplicated logic across Visualforce pages and Apex classes can lead to inconsistency and redundancy.

 Generating a code review checklist to ensure consistency between reviews and different reviewers and conducting a review that combines human efforts and automatic checks by the tool to detect all flaws are two recommended practices to follow when conducting secure code reviews, as they can help improve the quality and security of the code and reduce the risk of vulnerabilities or errors. Focusing on the aggregated reviews to save time and effort, to remove the need to continuously monitor each meaningful change is not a good practice, as it can miss important details or changes that can affect the code functionality or security. Using the code review software as the tool to flag which developer has committed the errors, so the developer can improve is not a constructive way of conducting code reviews, as it can create a blame culture and discourage collaboration and learning. See Secure Coding Guidelines for more details.

This is the correct answer because Salesforce prohibits stress testing against production because it is a shared environment that hosts multiple customers and tenants. Stress testing against production may affect the performance and availability of the Salesforce service for other customers and violate the terms of service. Stress testing should be done in a sandbox or a developer edition org that is isolated from production.

 The sfdx force:source:retrieve command is used to retrieve the metadata from an org to a local project directory. However, before running this command, the developer needs to create a project using the sfdx force:project:create command, and then navigate to the project directory using the cd command. If the developer hasn’t done these steps, they will get the error message: “This command is required to run from within an SFDX project”. The -n option is not required for the sfdx force:project:create command, as it will prompt the developer to enter a project name interactively. The developer can create the project within VSCode and run the command in a separate terminal, as long as they are in the same project directory.

 Three advantages of using the SFDX are: can store code on a local machine, or a version control system; can create scratch orgs; and can install application metadata from a central repository. These advantages can help improve the development experience, as they allow developers to work with source-driven development, use ephemeral and configurable environments, and access metadata components from a shared location. Can quickly deploy metadata using Execute Anonymous is not an advantage of using the SFDX, as Execute Anonymous is a feature of the Developer Console that allows running Apex code, not deploying metadata. Can use native Deployment Rollback Tool to quickly revert to prior state is also not an advantage of using the SFDX, as there is no such tool in the SFDX. See [Salesforce DX] for more details.

Deploying metadata to production orgs using package development model is the best option for the multi-org deployment strategy, as it allows you to create modular and reusable packages that can be easily installed and updated across different orgs. Deploying metadata to production orgs using managed packages is not suitable for this scenario, as managed packages are typically used by ISVs to distribute their applications to customers, and they have some limitations and restrictions that may not fit the requirements of UC. Deploying metadata to production orgs using unmanaged packages is also not a good option, as unmanaged packages are mainly used for one-time distribution of components, and they do not support upgrades or dependencies. Deploying metadata to production orgs using change sets is not feasible for this scenario, as change sets can only be used to deploy metadata between connected orgs in the same Salesforce instance, and UC has separate orgs for each region. See [Package Development Model] for more details.

The Scrum value that is compromised by this bad practice is courage, because the teams should be transparent about progress and speak up when they need help. Courage is one of the five core values of Scrum, and it means that the team members have the courage to do the right thing and work on tough problems. By not updating the status of their work in progress, the team is hiding potential issues and risks, and not being honest with themselves and others.

An unmanaged package is a suitable option for deploying an application from a contractor’s own Salesforce to UC’s Salesforce environments. An unmanaged package allows the contractor to share the application code with UC, while giving UC full control and ownership of the code. An unmanaged package also does not require a namespace prefix or a security review.

 The success criteria for data migration and the manual and automated data validation approaches are two key areas of UC’s data migration test plan that should be included. The success criteria define the expected outcomes and quality standards for the data migration process. The data validation approaches ensure that the data is accurate, complete, and consistent after the migration.

 A and C are the characteristics of an effective communication plan, as they enable feedback, collaboration, and transparency among the stakeholders. B is not a characteristic of an effective communication plan, as it does not account for changes in the stakeholder list or their communication preferences. D is not a characteristic of an effective communication plan, as it limits the information sharing and trust among the stakeholders.

The best option is to send a package.xml file with associated metadata in a .zip file to the Release Management team, as this will allow them to use the Metadata API to deploy the components to the production org. Option A is not feasible, as change sets cannot be downloaded from sandboxes. Option B is not sufficient, as the readMetadata call only retrieves the metadata information, not the actual components. Option C is not reliable, as the audit trail may not capture all the changes made in the sandbox.

Three areas that should be tested as part of data migration are: data transformation against source system, contact association with correct account, and account and lead ownership. These areas can help ensure that the data is migrated correctly and accurately, and that the relationships and ownership are preserved. Lead assignment is not an area that should be tested as part of data migration, as it is a business process that is triggered after the data is migrated. Page layout assignments is also not an area that should be tested as part of data migration, as it is a configuration setting that is independent of the data. See Data Migration for more details.

 Executing all test classes in sandboxes can help identify and fix any errors or failures before deploying to production. Executing selected test classes in production can help reduce the deployment time and avoid running unnecessary tests.

Two software development methodologies that an architect should suggest to solve the issue of visibility are Scrum and Kanban. Scrum is based on the value of openness, which means that the team members and stakeholders share information and feedback regularly and transparently. Kanban is based on the principle of making everything visible, which means that the team uses a visual board to track the progress and status of the work items. Waterfall is not a good methodology for visibility, as it does not allow for frequent communication and feedback. DevOps is not a methodology, but a culture and practice that aims to improve collaboration and delivery across the software development lifecycle.

 Identifying the relevant data and verifying the data integrity can help ensure the quality and accuracy of the migrated data. Using a full sandbox and performing test runs with real data can help validate the migration process and identify any issues or risks.

Allowing no code/configuration changes directly in the production org and using Metadata API to automate deployment to the production org are two options that will streamline the process. These options help to enforce a consistent and controlled deployment process that avoids manual errors and conflicts in the production org.

The architect should recommend that UC start a citizen development program to minimize additional costs and allow UC to accomplish more from the backlog. A citizen development program is a way of empowering non-technical users to create and deploy simple applications using low-code or no-code tools, such as Salesforce Platform. This can help UC leverage the skills and knowledge of their existing workforce, reduce the workload of the development team, and deliver value faster to the business.

Creating an unmanaged package of the app and deploying it in NTO’s org is the best option for having ETO’s Sales Optimization app in NTO’s Salesforce org in the shortest possible time. An unmanaged package is a collection of components that can be easily installed and customized in another org. Unlike a managed package, an unmanaged package does not have any restrictions or dependencies on the source org, and does not require a security review or approval from Salesforce. Creating a managed package, creating users in ETO’s org, or building the app from scratch in NTO’s org are not as fast or efficient as creating an unmanaged package.

The data model becomes more complex as the scope in the org increases, and the declarative sharing and visibility capabilities may not be sufficient to ensure correct visibility of objects and records for multiple LOBs. Apex design and multiple currencies are not specific challenges for a single-org strategy.

Deploying unsupported components manually before/after deployment is the best way to address the issue of Metadata API not supporting all the components yet. Metadata API is a powerful tool for deploying changes between orgs, but it does not cover all the metadata types that are available in Salesforce. Some examples of unsupported components are email templates, dashboards, reports, and custom settings. These components need to be deployed manually by using other tools or methods, such as change sets, data loader, or manual configuration.

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.

 The best option for UC given the scenario is to opt for a multi-org strategy, where each org can have its own sales process, common rules, and operate in locale. A multi-org strategy can accommodate the different languages, sales processes, and legal requirements of the two business units. A multi-org strategy can also allow for more innovation and flexibility, as each org can customize and optimize its own functionality. A single-org strategy may not be able to support the different languages, sales processes, and legal requirements of the two business units. A single-org strategy may also limit the innovation and flexibility, as the org has to follow a standardized and consistent approach.

The architect should recommend backing up the existing metadata using the ANT Migration Tool. To roll back deployment, deploy again to production using backed up metadata. This strategy allows the team to restore the previous state of the production org in case of any issues with the deployment. Creating a sandbox from production to take the backup of existing metadata is not necessary and may take longer time. Using destructivechanges.xml to delete new components is not a reliable way to roll back deployment, as it may not remove all the dependencies and references. Manually deleting new components is also not a feasible option, as it may be error-prone and time-consuming.

To deploy custom metadata types to production using Metadata API, you need to include the CustomMetadata and CustomField data types. CustomMetadata represents the custom metadata type definition, and CustomField represents the custom metadata type fields. CustomMetadataType and CustomObject are not valid data types for custom metadata types

The development model that the architect should recommend to be used by the consolidated development team is the package development model. This model allows teams to build release artifacts that can be tested and released independently from artifacts for other projects, using unlocked packages or second-generation managed packages. This model can help improve the modularity, reusability, and maintainability of the code and configuration, as well as enable source-driven development and continuous integration and delivery. The org development model is not a good choice for the consolidated development team, as it is based on working directly in an org and using change sets or metadata API tools to deploy changes. This model can lead to conflicts, dependencies, and governance issues, especially when working on multiple projects or with multiple teams. The change set development model is also not a good choice for the consolidated development team, as it is based on using change sets to deploy changes between connected orgs. This model can be slow, error-prone, and limited, as it does not support all metadata types, dependencies, or automation. The package development model does not allow packages to be created and deployed using declarative (point-and-click) development tools, without writing code. This is a wrong statement, as the package development model supports both declarative and programmatic development tools, and requires writing code to create and install packages using the Salesforce CLI or APIs. See Package Development Model for more details.

 Using a Developer Edition org to stage changes to their Customer Community poses the following risks:

• Developer Edition orgs have limited user counts and low data volume limits, which will make User Testing difficult, as the testing environment will not be representative of the production environment.
• Developer Edition orgs cannot have sandboxes, which will make team development difficult, as the developers will not be able to work in isolated environments and test their changes before merging them.
• Changes Sets cannot be used to deploy from Developer Edition to Production, which will make deployment more complex, as the developers will have to use other tools such as Ant Migration Tool or SFDX CLI to deploy their changes.

A full sandbox would be appropriate for diagnosing reports of poor performance when accessing certain Visualforce pages, as it provides a complete copy of the production data and metadata, which allows the developers to replicate and troubleshoot the issue in a realistic environment. A partial copy sandbox would not be appropriate, as it only provides a sample of the production data, which may not reflect the actual volume and complexity of the data that affects the performance. A developer sandbox would not be appropriate, as it only provides a copy of the production metadata, but not the data, which makes it impossible to test the performance of the Visualforce pages with real data. A developer pro sandbox would not be appropriate, as it also only provides a copy of the production metadata, but not the data, which makes it impossible to test the performance of the Visualforce pages with real data.

 A and C are the advantages of using an Agile Project Management tool, as they provide visibility into the project progress and status, and consolidate the project artifacts in a common repository. B is not an advantage of using an Agile Project Management tool, as it depends on the communication and collaboration skills of the team members and stakeholders. D is not an advantage of using an Agile Project Management tool, as it is more related to the governance framework and methodology of the project

 The key features of an agile development support tool that an architect should look for are sprint backlog management, product backlog prioritization, and work assignment. These features enable the team to plan, execute, and monitor the sprints effectively and efficiently. Email notifications and Kanban board are not essential features of an agile development support tool, as they can be achieved by other means or tools.

C and D are the correct answers, as they are the best strategies to address a critical production issue occurring in the middle of development. C is correct, as using a source control system to allow separate branches for current development and production bug fixes can help to isolate the changes and avoid conflicts or overwriting. D is correct, as refreshing a sandbox for replication of the issue and testing the use-case scenarios once the code is fixed can help to ensure the quality and functionality of the solution before deploying it to production. A is incorrect, as creating separate branches for current development and production bug fixes and deploying the fix with current development when ready can delay the resolution of the production issue and introduce new risks or errors. B is incorrect, as utilizing one branch for both development and production bug fixes to avoid out-of-sync branches and simplify deployment can create confusion and complexity in the code and make it harder to test and validate. You can learn more about these strategies in the Application Lifecycle and Deployment module on Trailhead.

Utilizing Heroku Connect to provide test class data is not a recommended method of creating test data in Salesforce, as it can introduce unnecessary complexity and dependency on an external system. Referencing data from middleware directly within your test class is also not a good practice, as it can make your test class unreliable and dependent on the availability of the middleware. Hosting a mock endpoint to produce sample information from an endpoint and loading a CSV as a static resource and referencing it in a test class are both valid methods of creating test data in Salesforce, as they allow you to isolate your test class from external factors and ensure consistent results. See Create Test Data for Apex Tests for more details.

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.

A product owner is responsible for defining the scope and prioritizing the backlog of the project. A product owner can help the COE manage the scope creep between the different projects by aligning the business goals and ensuring the value delivery. A scrum master, a release manager, and a change manager are not directly involved in scope management.

 Creating a release calendar, training and aligning all the teams is the best way to avoid conflicts and ensure smooth releases between major, minor, and Salesforce seasonal releases. A release calendar can help the teams plan ahead, coordinate their efforts, and avoid overlapping or conflicting changes. Training and aligning the teams can help them understand the release processes, the best practices, and the expectations for each release type. Gating all release decisions at the center of excellence, sharing the test plans, or creating a spreadsheet of metadata changes are not sufficient or scalable solutions for this problem.

 DevPro1 cannot be cloned because it is on a different version from Production, as it was upgraded to preview for the next Salesforce major release two weeks ago. Therefore, the architect should recommend creating a new DevPro2, and migrating metadata from DevPro1. This way, the second work stream can work on the Service Cloud requirements in a separate sandbox, without affecting the Sales Cloud dev team. Asking the second work stream team to work on the same DevPro1 sandbox would create conflicts and dependencies between the two teams, and would not allow them to release at different times. Pushing back on the requirements because adding another work stream will bring some risks with it would not be a good option, as the business needs might be urgent and important.

 A Requirements Traceability Matrix is a document that links requirements to their sources and test cases, as well as the components that implement them. By using this artifact, a developer can easily find the purpose of an Apex class and the requirement it fulfills.

These are the correct answers because they are related to the data quality and integrity of the migrated data. Case association, case ownership, and data transformation are all important aspects of data migration that should be tested. Case assignment rules and escalation rules are not directly related to data migration, but rather to the business logic and workflow of the application. Page layout assignment is also not related to data migration, but rather to the user interface and security of the application.

The best option for the new BU is to use a new stand-alone Salesforce org, not integrated with the others. This will allow the new BU to have flexibility in their business processes, without affecting or being affected by the other BUs. Since the new BU does not share customers with the other BUs, there is no need to integrate with the customer 360-degree view org, which would add complexity and cost. Deploying the new BU in the customer 360-degree view org is not a good idea, as it would create confusion and duplication of data, as well as limit the customization options for the new BU. Using the same Salesforce org of another BU that shares geographical localization with the new BU is also not a good idea, as it would create conflicts and dependencies between the two BUs, as well as reduce the performance and security of the org. Using a new Salesforce org for the new BU, and customizing integration so that it reads and writes customer information from the customer data org is unnecessary and inefficient, as the new BU does not need to access or update the customer data of the other BUs.

 The change set performance may depend on the included components, especially if they are complex or have many dependencies. The change set may take more time than usual if it includes changes to permission sets and profiles, as these components require additional validation and processing. The change set may not take more time if it includes field type changes, new custom objects and fields, or other simple components.

To improve the performance of the development teams, the following ways can be suggested: Define and follow code standards, and implement a sprint review process. Code standards can help ensure consistency, readability, and maintainability of the code, as well as reduce errors and bugs. A sprint review process can help evaluate the work done in each sprint, demonstrate the functionality, and gather feedback from the stakeholders and users.

The benefits of managing change with Packaged Development are:

• Versioning to help with change management, as it allows the developers to track the changes made to the metadata and roll back to previous versions if needed.
• Making the release cycle more efficient and agile, as it enables the developers to deploy smaller and more frequent updates to the orgs, reducing the risk of errors and conflicts.
• Modular development process with specification of dependencies among packages, as it allows the developers to break down the metadata into logical units that can be reused and updated independently, while ensuring that the dependencies are resolved correctly. Managing the number of sandboxes needed to successfully deploy is not a benefit of Packaged Development, as it is more related to the sandbox strategy and the development model. Clearly dividing developers and testers is also not a benefit of Packaged Development, as it is more related to the team structure and the testing strategy.