Salesforce Development-Lifecycle-and-Deployment-Architect Salesforce Certified Development Lifecycle and Deployment Architect (SP23) Exam Practice Test

 The maximum size of deployed .zip file is 39MB for Metadata API. You can deploy up to 10,000 files, but retrieve more than 10,000 files using Metadata API.

 The test class will fail and the developer will see a message stating: Methods defined as TestMethod do not support Web service callouts. This is because the test class cannot make a real web service callout, as it would depend on an external service that may not be available or reliable. Therefore, the developer needs to use the Test.setMock() method to specify a mock class that simulates the web service response. The test class will not skip the web service callout, nor will it make the actual callout. It is possible to save the test class without the Test.setMock() statement, but it will not run successfully.

 A and C are the correct answers, as they are the project situations that favor an agile methodology. An agile methodology is a flexible and iterative approach that can accommodate changing requirements, deliver value quickly, and enable frequent feedback and collaboration. A is correct, as a digitization project to update an existing customer-facing process and enable quick adjustments is a situation that requires an agile methodology, as it involves transforming a legacy system, adapting to customer needs, and delivering incremental improvements. C is correct, as an environment with a heavy investment in DevOps capabilities for rapid testing and deployment is a situation that requires an agile methodology, as it enables continuous integration and delivery, as well as quality assurance and automation. B is incorrect, as a project to be executed by a third party, with a fixed and formal scope, budget, and timeline is a situation that favors a waterfall methodology, as it involves clear and stable requirements, contractual obligations, and sequential phases. D is incorrect, as a project with well-defined requirements and complex interactions between front- and back-end systems is a situation that favors a waterfall methodology, as it involves detailed planning, design, and testing, as well as minimal changes and dependencies. You can learn more about this topic in the Agile Basics module on Trailhead.

 The two actions that can effectively contribute to the quality and agility of the team are: Define and follow code standards, and use static code analysis tool in the pipeline before manual code review. Code standards can help ensure consistency, readability, and maintainability of the code, as well as reduce errors and bugs. A static code analysis tool can help automate the code review process and identify any issues or violations of the code standards before the manual review. Choosing the most senior developer to help the technical lead or skipping the code review are not effective actions, as they can lead to more errors and delays.

 A single org strategy has the benefits of increased ability to collaborate, centralized data location, and consistent processes across the business. These factors can improve efficiency, data quality, and user adoption. A single org strategy may not allow for tailored implementation or fewer inter-dependencies, as different business units may have different requirements and dependencies.

Mock objects are needed when writing test classes to simulate the behavior of real objects or external services that are not available or accessible in the test context. Using a Mock allows the test class to bypass the dependencies of other objects, methods, state, or behaviors, and therefore, the developer has total control of their own code. This is especially useful when the code makes an HTTP callout, as the test class cannot actually call an external web service. A Mock is needed to provide a fake response for the HTTP callout. A Mock is not needed for the classes that extend the batchable interface, as the test class can use the Test.startTest and Test.stopTest methods to execute the batch jobs synchronously. A Mock is not a shortcut for bypassing long running processes, as the test class should still test the functionality and performance of the code.

The best solution to address the problem of user testing taking a long time due to data setup is to include automated sample data during deployment. This way, the users can have realistic and consistent data to test the functionality and performance of the system. Assigning more users to create test data, testing data creation being outside the scope of continuous integration, or training business users to create test data more efficiently are not effective solutions, as they still require manual effort and may result in inconsistent or inaccurate data.

Using static code analysis to enforce coding standards is the best way to improve consistency among the development teams working on different projects. Static code analysis is a tool that can automatically scan the code and detect any violations of the predefined coding rules and best practices. It can also provide feedback and suggestions to the developers on how to improve their code quality and readability. Creating a Center of Excellence for release management, requiring pull requests to be reviewed by two developers before merging, or executing regression testing before code can be committed are also good practices, but they are not as effective or efficient as static code analysis for ensuring coding consistency.

 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.

The creation and execution of Release Management processes are the responsibility of the Dev/Build Team and the Center of Excellence. The Dev/Build Team is in charge of developing, testing, and deploying the changes to the system, while the Center of Excellence is in charge of defining and managing the best practices, standards, and governance for the system. The Steering Committee is a group of senior stakeholders that provides strategic direction and oversight for the project, but does not create or execute the Release Management processes. The End Users are the people who use the system, but do not create or execute the Release Management processes.

B and D are the correct answers, as partner developer edition orgs and developer edition orgs are the appropriate environments for creating a managed package. A managed package is a collection of application components that are locked and versioned, and can be installed and upgraded in multiple orgs. A is incorrect, as developer pro sandbox orgs are not suitable for creating a managed package, as they are copies of a production org that are used for development and testing purposes. C is incorrect, as production orgs with LMA are not suitable for creating a managed package, as they are used for managing the licenses and subscribers of a managed package. You can learn more about this topic in the Package Development Model module on Trailhead.

The optimal way to store the service centers as technical reference data is to add them to a custom metadata type. Custom metadata types allow you to create, update, and deploy records that are defined by a custom object. Custom metadata types are similar to list custom settings, but they have some advantages, such as being deployable, queryable, and packageable. Hierarchical custom settings are not suitable for storing multiple records of the same type, and defining a new custom object with a picklist field is unnecessary and inefficient.

A workflow and a trigger are considered minor changes that do not require alignment with a Salesforce major or patch release. However, they still need proper testing, training, and change management before being deployed to production. Therefore, the architect should plan this as a minor release with training and change management.

 D is the correct answer, as utilizing automated source control, test, and build systems to test and deploy to production can help to maintain quality and reduce the risk of bugs being introduced to production. Automated systems can ensure that the code is consistent, version-controlled, tested, and validated before deploying to production. A is incorrect, as requiring developers to deploy completed code and unit tests directly to production can introduce errors and conflicts, as well as bypass the testing and validation stages. B is incorrect, as deploying all functionality together can create complexity and dependency issues, as well as delay the release of completed features. C is incorrect, as using a spreadsheet to track approved changes that should be released with change sets can be prone to human errors and inconsistencies, as well as lack of automation and integration. You can learn more about this topic in the Continuous Integration and Continuous Delivery module on Trailhead.

A Center of Excellence is a mechanism that can help to increase the use of standard Salesforce functionality, by defining and managing best practices, standards, and governance across the organization. A Center of Excellence can also facilitate cross-functional collaboration, knowledge sharing, and alignment of Salesforce initiatives with business goals. A Change Control Board is a group of stakeholders that reviews and approves changes to the system, but does not necessarily promote the use of standard Salesforce functionality. A Requirements Traceability Matrix is a document that links requirements to their sources and test cases, but does not necessarily increase the use of standard Salesforce functionality. A Project Management Office is a group that oversees the execution of projects, but does not necessarily increase the use of standard Salesforce functionality.

Facilitating the design of a prioritization model with the stakeholders is the best way to overcome the problem of having many backlog items and competing stakeholders who cannot agree on priority. A prioritization model is a framework that helps the stakeholders evaluate and rank the backlog items based on various criteria, such as value, urgency, effort, risk, etc. By using a prioritization model, the stakeholders can have a clear and objective way of deciding which items are more important and should be done first. Organizing a sprint planning meeting, taking over prioritization, or allowing the delivery teams to pick the work are not effective solutions, as they do not address the root cause of the problem or involve the stakeholders in the decision-making process.

The best practice for releasing near peak business periods is to avoid doing so, as it can cause disruption and risk to the business operations. Making declarative changes in production, bypassing regression testing, and having developers conduct user acceptance testing are all bad practices that can introduce errors and instability to the system.

 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.

The optimized order to load the objects is: accounts, contacts, leads, products, opportunities, opportunity line items. This order follows the dependency and relationship rules among the objects, such as: accounts must be loaded before contacts, as contacts are related to accounts; leads must be loaded before opportunities, as opportunities can be converted from leads; products must be loaded before opportunity line items, as opportunity line items are related to products; and opportunities must be loaded before opportunity line items, as opportunity line items are related to opportunities. See [Data Import Order] for more details.

The evidence that can support the CTO’s claims is a burndown chart showing the team misses their forecast sprint after sprint. This indicates that the team is overcommitting and not able to deliver the work they planned. The definition of done, the Kanban board, and the burndown chart showing the team finishes early are not relevant to the CTO’s claims, as they do not reflect the actual progress and performance of the team.

 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.

 Sandboxes should be refreshed based on the needs of the project and the development lifecycle. Production is the only pristine environment, so it is a good practice to refresh sandboxes from production regularly to ensure data and metadata consistency. Integration sandboxes should be refreshed frequently, not rarely, to avoid conflicts and errors when integrating code from multiple developers. Development environments should generally be refreshed after each working feature has been successfully migrated, to avoid accumulating unnecessary changes and to start fresh for the next feature.

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

The architect should recommend creating two second generation managed packages with the same namespace and setting the methods that should be shared with the @namespaceAccessible annotation. This will allow the Sales team to access the specific functions of the Service product without exposing them to other teams or customers. Creating two managed packages with different namespaces will not allow the Sales team to access the Service functions, unless they are declared as global, which will expose them to everyone. Creating a managed package with both products will not allow the separation of the products and the control of the functions. Creating an authentication function in the Service package will add unnecessary complexity and overhead to the solution.

Following an ALM process can help avoid defects from being deployed to production, by ensuring that the code is tested and validated in different environments before reaching the end users. It can also help release new features on a consistent schedule, by establishing a clear roadmap and timeline for the development and deployment phases. Moreover, it can help prevent existing working functionality from stopping, by implementing backup and rollback strategies, as well as monitoring and troubleshooting tools. Training new users after each minor and major release is not a benefit of ALM, but rather a best practice for user adoption and change management. Defining metrics for application development project success is not a benefit of ALM, but rather a part of the project management and evaluation process.

 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.

Going to a single-org strategy can provide several benefits, such as lower administration overhead costs, improved Chatter collaboration across different business units, and easier to get a 360-view of the customer. Consolidating the business processes and unifying the data model among all lines of business are not benefits of a single-org strategy, but rather challenges that need to be addressed during the org merge process.

How to test existing functionality to ensure no regressions are introduced is a decision that the Architect should make when planning for releases, as it is part of the quality assurance process and helps to ensure that the new changes do not break the existing functionality. When to test a new UC feature release is also a decision that the Architect should make when planning for releases, as it is part of the release schedule and helps to coordinate the testing activities with the development and deployment activities. Whether Salesforce will wait to upgrade the pod until after a UC release is complete is not a decision that the Architect can make, as it is determined by Salesforce and depends on the release window and the pod assignment. How to roll back to the previous Salesforce release if there are issues is not a decision that the Architect can make, as it is not possible to roll back to a previous Salesforce release once the upgrade is done.

 To run a subset of tests, set the Run Specified Tests test level on the DeployOptions object and pass it as an argument to the deploy() call and specify only the test classes that are required to be executed, as specifying the test method is not supported in DeployOptions. These statements are true regarding running specific tests during deployments. The Run Specified Tests test level allows the developer to choose which tests to run in production, while specifying the test method is not a valid option for the DeployOptions object.

D is the correct answer, as automated testing is the best approach to mitigate the risk of bugs being inadvertently introduced to production. Automated testing can help to ensure that the code meets the quality and functionality standards, as well as detect and prevent any errors or regressions before deploying to production. A is incorrect, as user acceptance testing is not enough to mitigate the risk of bugs, as it depends on the manual testing and feedback of the end users, which can be subjective and incomplete. B is incorrect, as the use of an agile methodology is not directly related to mitigating the risk of bugs, as it is a way of managing the project scope, requirements, and delivery. C is incorrect, as requirements traceability is not directly related to mitigating the risk of bugs, as it is a way of tracking the requirements and their fulfillment. You can learn more about this topic in the Testing Strategies module on Trailhead.

 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.

 Using a Change Set or manually replicating the changes in the developer sandbox are both valid approaches to ensure that changes made in production are reflected in the sandbox that the developers are working on. Refreshing the developer sandbox would overwrite any changes made by the developers, and Salesforce-to-Salesforce is not a deployment tool.

Escalating and communicating to stakeholders the risk and mitigating it by allocating additional resources or extending the timeline of the project to support the new requirement based on stakeholders’ input are two actions that should be performed to mitigate the risk. These actions help to manage the scope change and ensure that the project is delivered with the expected quality and functionality.

 Implementing a pull request and secure code review will contribute to an improvement of code security by ensuring that the code is checked and approved by another developer before merging to the main branch. Integrating a static code security analysis tool in the CI/CD process will contribute to an improvement of code security by automatically scanning the code for vulnerabilities and enforcing security standards. Hiring a company specialized in secure code review or using two developers to review and fix current code vulnerabilities are not actions that will improve code security, but rather remediate existing security issues.

 Agile development methodology allows for frequent and incremental releases of functional code, which enables stakeholders to provide feedback and validate the requirements. Agile development methodology also embraces changes in the project requirements as the business needs evolve, and adapts to them accordingly.

A, C, and E are the correct answers, as Force.com Migration Tool, Source Control Tool, and Continuous Integration Build Tool are the tools that should be used to enable a continuous integration process to help manage code quality. A continuous integration process is a practice that involves merging code changes from multiple developers into a common repository, and then testing and validating them automatically, before deploying them to the target environment. Force.com Migration Tool is a tool that uses the Metadata API to retrieve and deploy metadata components, such as code, from one org to another. Source Control Tool is a tool that manages the versions and changes of the code, and allows for collaboration and integration among the developers. Continuous Integration Build Tool is a tool that automates the testing and deployment of the code, and ensures that the code meets the quality and functionality standards. B is incorrect, as Full Sandbox Environment is not a tool that should be used to enable a continuous integration process, as it is a copy of a production org that is used for development and testing purposes, but not for merging, testing, or deploying code changes. D is incorrect, as Project Management Tool is not a tool that should be used to enable a continuous integration process, as it is a tool that helps to plan, organize, and track the progress of the project, but not to manage, test, or deploy code changes. You can learn more about these tools in the Continuous Integration and Continuous Delivery module on Trailhead.

To track Salesforce metadata throughout the development lifecycle across sandboxes and production, the architect should recommend using an AppExchange or third-party tool that is specialized in Salesforce deployment. These tools can provide features such as version control, dependency analysis, automated testing, and rollback capabilities. Using an Excel sheet to track deployment steps and document the SFDX commands is not a reliable or scalable solution, as it is prone to human errors and does not provide any automation or validation. Using ChangeSet to track deployed customizations is also not a good option, as ChangeSet is limited in the types of metadata it can deploy and does not support versioning or dependency management. Using Salesforce SFDX commands to deploy to different sandboxes is a possible solution, but it requires a high level of technical expertise and does not provide a graphical interface or reporting capabilities.

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.

This is the correct answer because utilizing unit and functional test automation as part of a continuous integration strategy can prevent regression by ensuring that the code and configuration are always tested and validated before deployment. Utilizing the developer console to run test suites is not sufficient and may not cover all the functionality. Utilizing Salesforce Apex Hammer is not a feasible option as it is an internal tool that Salesforce uses to test customer orgs before major releases. Freezing development of new features and re-architecting the system is not a realistic or cost-effective approach to prevent regression.

The fastest approach to spin off a sandbox with up to 10,000 records in each object for testing the integration performance is to spin off a partial copy sandbox using a sandbox template with all the objects required for testing the integration. A partial copy sandbox can copy up to 10,000 records per object using a sandbox template that specifies the objects and fields to copy. A partial copy sandbox can also copy the metadata and the configuration settings from the production org. A developer pro sandbox, a development sandbox, or a full copy sandbox may not be able to copy enough data for testing the integration performance, as they have lower data storage limits. A developer pro sandbox and a development sandbox can only copy 1 GB of data, while a full copy sandbox can only copy 5 GB of data. A full copy sandbox may also take longer to spin-off, as it copies all the data and metadata from the production org.

Creating transparency by being honest and clear about timing, planning, and obstacles is one of the Scrum principles, as it helps to build trust and collaboration among the team and the stakeholders. Delivering working software is also a Scrum principle, but it does not mean that the software should not be changed if it is working. Respect is another Scrum principle, but it does not imply that a developer should not test the software, as testing is part of the development process. Embracing change is also a Scrum principle, but it does not mean that the scope should change every day, as that would make it impossible to deliver value and quality.

A suitable branching policy to recommend for multiple development teams that work on separate streams of work, with different timelines, is trunk-based development. This policy allows each team to work on their own feature branches, and merge them to the main branch (trunk) frequently, using pull requests and code reviews. This can help avoid merge conflicts, ensure code quality, and enable continuous integration and delivery. Leaf-based development is not a valid branching policy, as it is a term used to describe the nodes in a tree data structure. GitHub flow is a specific implementation of trunk-based development, but it is not a branching policy by itself. Scratch-org-based development is not a branching policy, but a development model that uses scratch orgs as ephemeral environments. See Trunk-Based Development for more details.

 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.

 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 way to ensure that tests execute predictably is to ensure that unit tests generate their own test data, as this will avoid any dependency on the existing data or metadata in the org, which may vary across environments3. Option A is not correct, as ensuring that Record Type IDs match both Production and Sandbox orgs is not a reliable way to ensure test predictability, as Record Type IDs are not guaranteed to be the same across orgs, and may change due to refreshes or deployments4. Option B is not correct, as ensuring executed Apex test run as valid users is not a sufficient way to ensure test predictability, as valid users may have different permissions or profiles across orgs, and may not have access to the required data or metadata5. Option D is not correct, as ensuring unit tests execute with seeAllData=true is not a recommended way to ensure test predictability, as this will make the tests dependent on the existing data in the org, which may not be consistent or isolated.

 D is the correct answer, as the risk with this plan is that multiple work-streams with dependencies could impact the go-live. If the legacy system upgrade and the new integration are not aligned and coordinated, there could be delays, errors, or failures in the project delivery. A is incorrect, as the deadline being scheduled during a Salesforce release is not a risk, but an opportunity to leverage the new features and enhancements that Salesforce provides. B is incorrect, as the project team using the Waterfall methodology is not a risk, but a choice that depends on the project scope, complexity, and requirements. C is incorrect, as the legacy system team using an Agile methodology is not a risk, but a choice that depends on the project scope, complexity, and requirements. You can learn more about the risk management in the Project Management Strategies for Salesforce Implementations module on Trailhead.

 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.

A change to a multi-org strategy can be justified by two reasons: launching a new line of business with independent processes and acquiring a company that has its own Salesforce org and operates in a different business with its own set of regulatory requirements. These reasons indicate that the single-org strategy is no longer feasible or optimal, as it would require too much customization, complexity, and compliance. Using Chatter for collaboration among different business units is not a reason to change to a multi-org strategy, as Chatter can work across multiple orgs. Following a unification enterprise architecture operating model is also not a reason to change to a multi-org strategy, as this model implies having orgs with the same processes implemented for each business unit, which is more suitable for a single-org strategy.

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.

The sandbox types that the architect should recommend for batch data testing are Partial Copy sandbox and Full sandbox. These sandbox types allow the testing of large data sets that are similar to the production data. Developer Pro sandbox and Developer sandbox have limited storage and may not be able to accommodate the data needed for the batch data testing.

The best option is to ensure the sandbox will be on the release preview, which means it will be upgraded to the new platform release before the production environment. This will allow the team to test the deployment in a realistic scenario and catch any potential issues. Option A is not ideal, as the staging and production support sandboxes will not be on the same platform version as the production environment. Option C is also not ideal, as the production support sandbox will not be on the same platform version as the production environment. Option D is risky, as the staging sandbox refresh may not complete in time for the go-live.

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.

The correct statement for the Staging sandbox in the diagram is that when created or refreshed, the Staging sandbox is a full replica of Production, as it is a full copy sandbox that copies all the data and metadata from the production org. Option B is not true, as the Staging sandbox is not automatically refreshed, but manually refreshed by the administrator. Option C is not true, as Salesforce major releases may occur in Staging and Production at different times, depending on the sandbox preview window. Option D is not true, as the Staging environment can be updated more frequently than once every two weeks, depending on the sandbox refresh interval.

Develop, Build Release, and Test are three steps that apply to any Salesforce development project, regardless of the size, complexity, or methodology. Develop is the step where the developers create the code and configuration components that meet the requirements and specifications. Build Release is the step where the components are packaged and deployed to different environments for testing and validation. Test is the step where the components are verified and validated against the requirements and specifications, as well as the quality and performance standards. Continuous Integration and Change Sets are not steps, but tools or techniques that can be used to facilitate the development project. Continuous Integration is a technique that involves merging the code from different developers frequently and automatically, to ensure consistency and avoid conflicts. Change Sets are a tool that allows the developers to move the components from one org to another org.

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.

 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.

These are the correct answers because the project steering committee plays a role in approving deviations from the chosen methodology, when required to address project issues, and setting the criteria for selecting agile or waterfall methodology to be used on internal projects. The steering committee does not design a methodology, but rather chooses one from the existing ones. The steering committee does not enforce that corporate project stage gates are part of the chosen methodology but rather ensures that the chosen methodology aligns with the corporate project stage gates.

 To address the bug in production, the architect should recommend the following approaches: Investigate potential data impacts, fix the bug in a hotfix branch, and seek stakeholder approval for the hotfix. Investigating the data impacts can help assess the severity and scope of the bug, and determine the best course of action to mitigate any data loss or corruption. Fixing the bug in a hotfix branch can help isolate the change and avoid introducing any other changes from the current sprint. Seeking stakeholder approval for the hotfix can help ensure compliance with the regulatory requirements and governance policies.

A requirement traceability matrix is a project artifact that maps each requirement to its corresponding test cases, ensuring that all requirements are covered by testing. User acceptance test scripts are the actual steps to execute the test cases, not the artifact that links them to the requirements. Testing strategy and test execution plan are high-level documents that describe the overall approach and schedule for testing, not the specific mapping of requirements and test cases.

 The best release strategy for creating a new report to support an urgent client request is to utilize the daily release process. The daily release process is designed for small and quick changes that do not require extensive testing or approval. The daily release process can create the report directly in a full sandbox and then deploy it to production. The major and minor release processes are more suitable for large and complex changes that require more testing and approval. The major and minor release processes should not create the report directly in production, as this may cause errors or conflicts.

 The two deployment tools that will support the request are the ANT Migration Tool and VS Code with Salesforce Extension. These tools allow the developers to deploy metadata components from one Salesforce org to another, and also to maintain and modify the code locally in their own machines. Change Sets and Developer Console are not suitable for this scenario, because they do not support deploying to multiple orgs or working offline.

 Design standards can help ensure consistency and quality of the code and configuration across multiple project teams. They can also prevent design conflicts and reduce technical debt.

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 only condition that would make continuous integration unsuitable for UC is if their Salesforce instance has only standard functionality, as this would mean that there is no need for code deployment or version control. Option A is not a valid reason, as test scripts can be generated and executed as part of the continuous integration process. Option B is not a valid reason, as a full sandbox is not a requirement for continuous integration, and other types of sandboxes can be used instead. Option D is not a valid reason, as there are free or low-cost software tools available for continuous integration, such as Jenkins, Git, and Ant

 Developing a new Customer Community with an Agile methodology and a three-month timeline poses some risks, such as the functionality that can be delivered in 3 months is unknown, and may not meet the needs of the business, and given the lack of requirements and the three-month timeline commitment, the project may not be feasible. Agile is an appropriate development methodology for Customer Community implementations, as it allows for iterative and incremental delivery of value. Agile also allows for changes to requirements, so customers can provide feedback and prioritize the most important features.

: Storing the records in sandboxes and production is not a good practice, as it can lead to data inconsistencies and conflicts. Storing the records in a version control system is a better option, as it allows tracking changes and deploying them to different environments. Using a third-party product to manage these records is also a valid option, as it can provide features such as data backup, restore, and migration.

 Refreshing a Partial Copy sandbox every weekend and including an appropriate sandbox template will allow UC to train the users on samples of production data and delete all the data generated during the training session at the end of the week. Loading data using data loader is not necessary if the sandbox template includes the relevant data. Developer Pro sandboxes have limited storage and may not be able to accommodate the data needed for the training.