Development-Lifecycle-and-Deployment-Architect Salesforce Certified Development Lifecycle and Deployment Architect (WI25) Questions and Answers

When migrating a flow with change sets, the following statements should be considered: When a change set with a multiple versioned flow is uploaded, it includes only the active version of the flow. When a change set with a multiple versioned flow is uploaded, and no active version is available, it includes the most recent inactive version of the flow. These statements are based on the Salesforce documentation on how change sets handle flows with multiple versions. The other statements are incorrect, as they do not reflect the actual behavior of change sets.

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 Service Cloud developer will see the conflict and need to resolve it when they create a pull request from ServiceCase to UCDev in GitHub. A pull request is a way of proposing changes to a branch and requesting a review and merge from another branch. GitHub will show any conflicts that prevent the pull request from being merged automatically, and the developer will need to resolve them manually before the merge can happen.

Program team and executive sponsors are two user groups that an architect should recommend to join the COE. A program team is a group of people who are responsible for managing and delivering the Salesforce projects and initiatives. They can provide the COE with the technical expertise, best practices, and project management skills. An executive sponsor is a senior leader who supports and advocates for the Salesforce program. They can provide the COE with the strategic direction, business alignment, and funding support.

To move to the package development model, the administrator must enable both the Dev Hub and the Second-Generation Managed Packages in setup. The Dev Hub is the main org where the administrator can create and manage scratch orgs and packages. The Second-Generation Managed Packages are the new format of packages that support modular development and versioning. The Unlocked Packages are a type of second-generation packages that are not tied to a namespace and can be installed and customized in any org. The Source Tracking for Scratch Orgs is a feature that allows the administrator to track the changes made in a scratch org and push or pull them to or from a source repository.

C and D are the best approaches to develop customizations once and make them available in both orgs, as they use packages that can be installed and updated in multiple orgs. A is not a good approach, as it does not allow for versioning and dependency management of the customizations. B is not a good approach, as it does not support deploying metadata components between orgs.

 A and C are the correct answers, as they are the methods that should be used to mitigate the risk of code being overwritten by a large development team in a single developer pro sandbox. A is correct, as providing each developer their own sandbox developer org and implementing a code repository and continuous integration to merge code into the developer pro sandbox can help to isolate the changes, avoid conflicts, and ensure consistency and quality. C is correct, as using a single sandbox and strictly coordinating development across shared components, and implementing a code repository to allow developers to merge code into a common repository can help to manage the changes, prevent overwriting, and ensure version control and integration. B is incorrect, as replacing the developer pro sandbox with a partial copy sandbox is not a method that can mitigate the risk of code being overwritten, as it does not address the issue of multiple developers working on the same components, but only provides a larger data set for testing. D is incorrect, as providing each developer their own sandbox developer org, and implementing managed packages to deploy to the merge is not a method that can mitigate the risk of code being overwritten, as it does not allow for easy updates and modifications, but only creates locked and versioned components. You can learn more about this topic in the Application Lifecycle and Deployment module on Trailhead.

 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.

This is the correct answer because some components, such as custom settings, user permissions, and email templates, cannot be deployed via the Metadata API. Therefore, these components should be documented and manually deployed or configured in the target environment.

The advice that a technical architect should provide in a Change Advisory Board meeting is troubleshooting strategies for deployment issues. This is because the Change Advisory Board is responsible for reviewing and approving changes to the IT environment, and the technical architect should provide guidance on how to resolve any potential problems that may arise during the deployment process1. The other options are not relevant for the Change Advisory Board meeting, as they are more related to the requirements analysis, design, or testing phases of the development lifecycle.

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.

The best way to stop the rollbacks from happening is to ensure report metadata is exported daily and that it is merged into the developer branches before the next release. This way, the reports and dashboards will be up to date and consistent across all environments. Using a third-party data warehouse is not a solution, as it does not address the root cause of the rollbacks. Removing the executive’s ability to change reports is not a good practice, as it limits their flexibility and autonomy. Backing up and reimporting the reports before and after the release is not a reliable or scalable solution, as it can introduce errors and inconsistencies.

User centered design is a process that involves understanding the user needs, preferences, and behaviors before building the solution. This way, the solution can be tailored to the user’s goals and expectations, and increase the likelihood of adoption and satisfaction. Using Lightning Web Components, stopping development, or sending communication emails are not effective ways to overcome the problem of unused features.

 The best way to leverage the Metadata API to communicate the metadata components to the release management team is to use unlocked packages. Unlocked packages are a collection of metadata components that can be easily deployed and updated using the Metadata API. They also provide versioning and dependency tracking features that can help ensure the integrity and compatibility of the components. Providing a spreadsheet, a change set, or an audit trail are not effective ways to use the Metadata API, as they do not capture the full metadata information and require manual intervention.

 A and B are the best techniques to ensure a smooth and timely deployment, as they ensure that the code is consistent, version-controlled, and validated against the target environment. C is not a good technique, as it creates an unnecessary sandbox that does not reflect the production environment. D is not a good technique, as it does not allow for testing and validation before deploying to production.

 This is the correct answer because it is a risk to have a fixed release date and budget, but unknown and changing requirements. This may lead to unrealistic expectations, scope creep, and poor quality of the application. The requirements should be solicited by an external community if they are the end users or stakeholders of the application. The project can use either the waterfall or agile methodology, depending on the nature and complexity of the project, but the methodology should be aligned with the requirements and the release date.

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 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.

 Extracting each permission set, committing and merging to source control, and running through CI checks is the best strategy to bring the issue of failing SOQL statements to the developer’s attention earlier. This way, the developers can review the changes made by the administrators, and ensure that they do not break any existing functionality or security rules. Asking administrators to only make changes to profiles instead would not solve the problem, as profiles can also affect SOQL queries. Creating a sandbox refresh strategy to ensure each sandbox is refreshed every day would not prevent the issue from happening, as the changes made by the administrators would still be propagated to the sandboxes. Advising developers to switch to SOSL queries that are more robust instead would not address the root cause of the issue, which is the lack of visibility and control over the permission sets.

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.

 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.

 In the Metadata API, the External Object metadata type represents external objects. In the Metadata API, the Custom Object metadata type represents external objects.

 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.

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.

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.

 Cross-site scripting is the most common reason that the prospect AppExchange products fail the security review. Cross-site scripting (XSS) is a type of web application vulnerability that allows an attacker to inject malicious code into a web page that is viewed by other users. XSS can compromise the security and privacy of the users, as well as the functionality and performance of the application. Salesforce has strict security standards and policies for AppExchange products, and any product that has XSS vulnerabilities will not pass the security review. CRUD/FLS, session hacking, and SOQL injection are also security issues that can affect AppExchange products, but they are not as common or severe as XSS.

 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 architect should recommend generating mock data that mimics production data shape and volume, and performing data masking on full sandbox after a refresh. These options allow the team to create realistic data sets for testing without violating the regulations that prohibit the use of production data in non-production environments. Requesting a partial sandbox copy after the next Salesforce release is not a valid option, as partial sandboxes are refreshed on demand and not tied to Salesforce releases. Using Query Analyzer in production is not a way to perform data volume testing, as it only analyzes the performance of SOQL queries.

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.

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.

The problem is that UAT is on a preview release and SIT is not. A preview release is a version of Salesforce that contains the features and enhancements that will be available in the next major release. Preview releases are usually available a few weeks before the official release date, and they are assigned to a subset of instances. If UAT and SIT are on different instances, they may have different release versions, which can cause deployment issues. For example, if UAT has a preview release that contains some new metadata types that are not available in SIT, then deploying those metadata types from SIT to UAT will fail. To avoid this problem, the architect should check the Sandbox Preview Guide1 and the Release Notes2 to see if there are any changes that affect the deployment, and refresh and redeploy the sandboxes accordingly. There is a problem, and it is not expected behavior. Using the DX command line instead will not solve the problem, as it will still encounter the same version mismatch. SIT is not on a preview release and UAT is not, as that would not cause any deployment issues.

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.

Manually validating change sets before deployment is a recommended practice to avoid possible delays while deploying a change set, as it can help you identify and resolve any errors or dependencies before the actual deployment. Change set performance is not independent of included components, as some components may take longer to deploy than others. Manually creating new custom objects and new custom fields or manually applying the field type changes are not advisable, as they can introduce human errors and inconsistencies between environments. See Deploy Changes with Change Sets for more details.

 To reduce defects, the architect should recommend increasing the code coverage to 95% and adding more details to the acceptance criteria. Increasing the code coverage can help ensure that the code is thoroughly tested and meets the quality standards. Adding more details to the acceptance criteria can help clarify the requirements and expectations for the functionality. Using the test script to define the test classes or having the test analyst create the test classes are not good practices, as they can introduce errors and inconsistencies in the testing process.

Load testing is the type of testing that will help UC measure the page response time. Load testing simulates the expected number of concurrent users and measures how the system performs under normal load conditions. Unit testing, system integration testing, and stress testing are not designed to measure the page response time.

 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.

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.

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.

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.

 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.

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.

 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.

: 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.

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.

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.

This is the correct answer because developers should work on feature branches that are derived from the develop branch, which represents the latest stable version of the code. The feature branches should then be merged back into the develop branch after they are completed and tested. This way, the develop branch always contains the most updated code that is ready for release.

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.

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

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.

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.

 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.

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.

Change sets provide an easy way to deploy related components, as they allow the user to select the components from a list and add them to the change set. They also provide a simple and declarative method for deployment, as they do not require any coding or scripting. Change sets do not provide the ability to deploy a very large number of components easily, as they have a limit of 10,000 components per change set. They also do not provide the ability to track changes to components, as they do not have any version control or history features.

Refreshing all non-preview sandboxes during the release preview window is the best way to handle the situation of having a mix of preview and non-preview instances for the release of a major project. A release preview window is a period of time before a Salesforce seasonal release, where the customers can test their applications and integrations in a sandbox that has the same version as the upcoming release. By refreshing all non-preview sandboxes during this window, the architect can ensure that all the sandboxes are aligned with the same version and avoid any conflicts or errors during the deployment. Refreshing the sandboxes when the release management team has time, mixing instance types, or contacting support to rollback the release are not good practices, as they can cause inconsistency, confusion, or disruption in the release process.

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.

The three benefits of using a partner development org over an individual development org in this scenario are:

Partner development org has a greater number of licenses available for the team. This means that the developers can test their app with different user profiles and permissions, and also invite beta testers to provide feedback2.

Partner development org offers higher API limit. This means that the developers can use more API calls to integrate their app with external systems or services, and also leverage the Salesforce APIs to automate their development and deployment processes2.

Partner development org offers more storage. This means that the developers can store more data and files in their org, and also use more features and components that require storage, such as Big Objects, Platform Events, or Lightning Web Components2.

The other options are not benefits of using a partner development org over an individual development org in this scenario, because:

Only partner development org supports managed beta testing. This is not true, as both partner development org and individual development org can create and distribute managed beta packages3.

Partner development org never expires. This is also not true, as partner development orgs have a 12-month expiration period, which can be extended by request

 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.

 The Metadata API can be used to migrate configuration changes between two organizations or export current customization in the organization as an xml file. The Metadata API allows developers to retrieve, deploy, create, update, or delete the metadata components that define the structure and behavior of the Salesforce org. The Metadata API cannot perform CRUD operations to manage records in the organization or migrate data changes between two organizations using a csv file. These operations require the use of other APIs, such as the REST API or the Bulk API.

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

Implementing a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it is one of the options an architect can recommend to accomplish the customer 360-degree view. This way, the architect can ensure that there is a single source of truth for the customer data, and that the data is consistent and synchronized across the different orgs. Implementing a Single Package multi-org strategy by developing and deploying to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs is another option an architect can recommend, as it allows the architect to create a reusable and scalable solution that can provide a unified view of the customer data from multiple sources. Implementing a Complete Graph multi-org strategy or migrating from multi-org to single-org strategy are not feasible or optimal options, as they can introduce complexity, cost, or risk to the architecture.

 B and D are the correct answers, as Force.com IDE and Force.com Migration Tool are the deployment tools that will support the request of creating a new custom object to track Shipping Containers and making it available globally by all Salesforce instances and further maintained and modified regionally by local administrators. Force.com IDE and Force.com Migration Tool are both tools that use the Metadata API to retrieve and deploy metadata components, such as custom objects, from one org to another. They also allow for selective deployment, meaning that only the components that are needed can be deployed, without affecting the rest of the org. A is incorrect, as Tooling API is not a deployment tool, but an API that provides access to metadata and code, as well as customizing and automating the development process. C is incorrect, as Change sets are not a deployment tool that will support the request, as they are limited to deploying components between connected orgs, and do not allow for selective deployment or regional modifications. You can learn more about these tools in the Deploy Changes with the Force.com Migration Tool and Deploy Changes with the Force.com IDE units on Trailhead.

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.

The architect should suggest the following actions to help UC discover the failing unit tests earlier: Train the administrators to make their changes in a special “admin changes” sandbox, and then promote to production, and ensure a metadata backup is committed to version control every day and a diff published to the release team. Training the administrators to use a sandbox can help prevent direct changes to production that can break the code or the unit tests. Ensuring a metadata backup and a diff can help identify any changes that have been made to production and compare them with the source of truth.

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.