Free and Premium Salesforce Development-Lifecycle-and-Deployment-Architect Dumps Questions Answers

 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.

 This is the correct answer because the executive sponsor is the senior leader who provides strategic direction, funding, and support for the project. The executive sponsor is also responsible for approving any changes to the project scope, budget, or timeline that may affect the project outcomes or benefits.

 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 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.

Refreshing a sandbox during the release preview window to ensure they have the upcoming release is a step that the team at UC should take to prepare for the new Salesforce release, as it allows them to test their application in an environment that matches the production environment after the upgrade. Running regression tests in an upgraded sandbox to detect any issues with the upgrade is also a step that the team at UC should take to prepare for the new Salesforce release, as it helps them to verify that the existing functionality is not affected by the new features or changes introduced by the upgrade. Reviewing the release notes for automatically-enabled features and technical debt is also a step that the team at UC should take to prepare for the new Salesforce release, as it helps them to understand the impact and benefits of the new features or changes, as well as to identify and resolve any technical debt that may cause issues or conflicts with the upgrade. Contacting Salesforce to schedule a time to upgrade the full sandbox is not a step that the team at UC should take to prepare for the new Salesforce release, as it is not possible to request a specific time for the upgrade of the full sandbox, which is determined by Salesforce and depends on the release window and the pod assignment. Upgrading any SOAP integrations to the newest WSDL as early as possible is not a step that the team at UC should take to prepare for the new Salesforce release, as it is not necessary to upgrade the SOAP integrations to the newest WSDL, unless they want to use the new features or fields introduced by the upgrade. The SOAP integrations will continue to work with the previous WSDL versions, as they are backward compatible.

The best practices to support UC’s new package development strategy are to test developed packages in test environments before installing to production, and to consult the metadata coverage report to identify features supported by packages. Testing packages in test environments can help to ensure the quality and functionality of the packages, as well as to identify and resolve any issues or dependencies before deploying to production. Consulting the metadata coverage report can help to determine which features can be included in packages, and which ones need to be deployed using other methods. Version control still needs to be used, as packages do not manage all the code and configuration, but only the components that are part of the package. Moving everything in the existing codebase to a single monolithic package is not a good practice, as it reduces the modularity, maintainability, and reusability of the code. It is better to create smaller packages that are focused on specific features or functionalities.

 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.

Waterfall development methodology has some positive aspects, such as:

Complex processes that will need to be built are thoroughly understood and documented before coding begins, which can reduce the risk of ambiguity and rework.

Milestones, timelines and estimates tend to be more accurate and predictable due to the upfront due diligence, which can help with project management and stakeholder expectations.

 The best way to address the issue of hitting governor limits while testing Apex classes is to use test.startTest() and test.stopTest() methods to reset governor limits. These methods mark the start and end of the test code, and allow you to run your test code with a separate set of governor limits. There is no AppExchange product that can temporarily increase the governor limits, and there is no auto reset property or test.setLimit() and test.resetLimit() methods that can reset governor limits.

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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.

Aura accessibility tests can be called in JSTEST and WebDriver Test environments. JSTEST is a JavaScript testing framework that runs on Node.js and can be used to test Aura components. WebDriver Test is a Selenium-based testing framework that can be used to test the user interface and accessibility of Aura components. ACCTEST and AuraDriver Test are not valid environments for calling Aura accessibility tests.

Testing load considering 50% more call volume is a reasonable test load consideration, as it can simulate the expected future growth and ensure that the application can handle the increased demand without compromising the performance or functionality.

An agile team is one that improves and evolves its processes and frequently delivers value to the end users. This is the main characteristic of an agile team, as opposed to a traditional team that follows a fixed plan and delivers on predefined dates. Agile teams use various frameworks, such as Scrum, Kanban, and Extreme Programming, but these are not essential to be agile. Agile teams also have shorter iterations, such as biweekly sprints, but these are not the only way to ensure on-time delivery.

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.

: 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.

 Testers will experience functional changes throughout testing due to not having isolation from development. Using a single developer sandbox for both development and testing is not a good practice, as it does not provide a stable and consistent environment for testing. The developers may make changes to the code or configuration that affect the functionality or behavior of the application, which may cause the testers to encounter unexpected results or errors.

To ensure that bugs found in production are more easily analyzed in the full sandbox, the architect should recommend to refresh the full sandbox after every deployment in production, and to perform the same process in the sandbox before any deployment in production. This way, the full sandbox will be in sync with the production org and will have the same metadata and code. Creating a daily process of copying new and changed data in production to the full sandbox is not necessary, as the full sandbox already has a copy of the production data. Performing a Refresh Data in the full sandbox is not possible, as this option is only available for partial copy and developer pro sandboxes.

The development model that is optimized for this need is to use unlocked packages to deploy the global code and allow each country to create its customized unlocked package extensions. This model can help maintain the global standardization and consistency of the code, while also providing the flexibility and autonomy for each region to customize some aspects of the code for their specific needs. Unlocked packages are a type of second-generation packaging that can be created and installed using the Salesforce CLI or APIs, and can be upgraded or uninstalled as needed. Unlocked package extensions are a type of unlocked packages that can depend on and extend another unlocked package or a managed package. See Unlocked Packages for more details.

 A is the correct answer, as generating a destructivechanges.xml file and deploying the package via the Force.com Migration Tool is the best way to manage the deletions of metadata components across sandbox environments and production with minimal impact on other work streams. A destructivechanges.xml file is a special file that specifies the components to be deleted from an org, and can be deployed using the Force.com Migration Tool, which is a command-line tool that uses the Metadata API to retrieve and deploy metadata components. This method can help to automate and streamline the deletion process, as well as ensure consistency and accuracy across the environments. B is incorrect, as performing deletes manually in a sandbox and then deploying a change set to production is not a good way to manage the deletions, as it can introduce errors and inconsistencies, as well as require additional steps and permissions. C is incorrect, as assigning business analysts to perform the deletes and splitting up the work between them is not a good way to manage the deletions, as it can create confusion and complexity, as well as lack of coordination and integration. D is incorrect, as deleting the components in production and then refreshing all sandboxes to receive the changes is not a good way to manage the deletions, as it can disrupt the production environment and the ongoing development and testing activities in the sandboxes. You can learn more about this topic in the Deploy Changes with the Force.com Migration Tool unit on Trailhead.

 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.

 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.

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.

The best practice is to fix the issues in the development sandbox, migrate them to the testing sandbox, and deploy to production after testing. This ensures that the development and testing environments are in sync and that the changes are properly tested before going to production. Fixing the issues in the testing environment and deploying them to production may introduce errors or conflicts, as the development environment may not have the same changes. Fixing the issues in the test environment and migrating them to the development sandbox may also cause errors or conflicts, as the development environment may have other changes that are not ready for testing.

 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.

A and B are the correct answers, as installing an Aloha certified app and upgrading to an Enterprise Edition org are the best solutions to enable advanced quoting in the current Professional Edition org. An Aloha certified app is an app that does not count against the org limits, such as objects and tabs, and can provide additional functionality and features. Upgrading to an Enterprise Edition org can increase the org limits, as well as provide access to more customization and automation options. C is incorrect, as creating and installing an unmanaged package is not a good solution, as it will consume the org limits and may not provide the desired functionality. D is incorrect, as buying more user licenses will not increase the org limits, but only the number of users who can access the org. You can learn more about this topic in the Salesforce Editions and Limits module on Trailhead.

 Scratch orgs are the best development environments for the package development model, as they allow developers to start a new project, start a new feature branch, or start automated testing in a disposable and configurable org. Scratch orgs also track all the changes automatically and can be easily integrated with version control systems. Scratch orgs can coexist with other models, such as the org development model, but this is not the main reason to start using them. Dev sandboxes are not suitable for the package development model, as they are not within the code deployment path and they do not support source-driven development.

The best approaches for UC to consider are B and C, as they both involve agile methodologies that can accommodate changing requirements and deliver value to the end users in an iterative and collaborative way. Option B is a good approach, as it allows UC to scope and estimate the project, identify the minimum viable product, and co-create the design with the project stakeholders using a product backlog and sprints2. Option C is also a good approach, as it allows UC to gather the remaining requirements and complete the architecture and design, then initiate the build/test processes with frequent reviews by the stakeholders, and perform acceptance testing and validate compliance with regulatory requirements3. Option A is not a good approach, as it involves a waterfall project that is rigid and sequential, and may result in re-work and delays if the requirements change or conflict4. Option D is not a realistic approach, as it assumes that budget and timeline will not be a factor with an agile methodology, which is not true, as agile projects still need to have clear scope, budget, and timeline constraints

This is the correct answer because having developers work in separate branches and merge their changes in a common branch for testing can reduce the risk of overwriting others’ changes and ensure code quality and consistency. Having all developers work in the same branch or in the HEAD may cause conflicts and errors. Not using source control is not a good practice and may result in data loss and lack of version control.

 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.

 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 Port management tool is a tool that can support a project involving a large distributed development and testing team, by providing features such as requirements management, defect tracking, collaboration, and reporting. A Port management tool can also integrate with other tools, such as code repositories, testing tools, and deployment tools, to provide a comprehensive view of the project status and progress. A Spreadsheet is not a suitable tool for managing requirements and defects, as it is prone to errors, duplication, and inconsistency. A Code Repository is a tool that stores and manages the source code of the system, but does not manage requirements and defects. Wave is a tool that provides analytics and insights on data, but does not manage requirements and defects.

 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.

 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.

Change Sets are a manual way of deploying metadata components between orgs that are affiliated with the same production org. Change Sets cannot be automated, rolled back, or reused between production Salesforce orgs. Change Sets can be validated before deployment, and they can be used for orgs affiliated with the same production org.

 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.

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 correct way to deploy the artifact to the full sandbox is to authorize to the full sandbox org, validate with sfdx:mdapi:deploy, and on successful validation, deploy with sfdx:mdapi:deploy. This is because the artifact is a .zip file, which is in the metadata API format, and not the source format. Therefore, the sfdx:mdapi:deploy command should be used instead of the sfdx:source:deploy command. See Deploy Metadata Using Metadata API for more details.

 Creating design standards to require help text on all custom fields and custom objects is an option that an Architect should recommend, as it helps to provide context and guidance for the administrators and users on how the fields and objects are used and what they mean. Creating design standards to consistently use the description field on custom fields is also an option that an Architect should recommend, as it helps to document the purpose and function of the fields and make them easier to maintain and understand. Creating design standards to consistently use the description field on custom objects is not an option that an Architect should recommend, as it is not a mandatory field and may not provide enough information for the administrators. Creating design standards with a document to store all custom objects and custom fields is not an option that an Architect should recommend, as it may be difficult to keep the document updated and synchronized with the actual metadata in the org. Creating design standards to require all custom fields on all custom object page layouts is not an option that an Architect should recommend, as it may clutter the user interface and reduce the usability and performance of the application.

 The Metadata API is mainly used for file-based deployment, such as deploying an application from a Developer Edition org to the AppExchange, or from a sandbox org to a production org. The Ant Migration Tool is a wrapper around the Metadata API, so it is not a direct use case for writing code to call retrieve() and deploy() methods. The Salesforce CLI (SFDX) uses the Source-Driven Development model, which relies on the source code as the source of truth, rather than the Metadata API.

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.

A virtual Kanban board tool is a good way to increase transparency and collaboration among agile development teams, as it allows them to visualize their work, track their progress, and identify any bottlenecks or issues. A daily stand-up meeting, a daily email, or a shared spreadsheet are not as effective or efficient as a Kanban board tool.

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 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.

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 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.

 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 most challenging factor to consider in merging the two Salesforce.com orgs into a single org is the customer data, as it may contain duplicates, inconsistencies, and conflicts. Option D suggests using standardization and de-duplication tools to merge the customer data, which is a reasonable approach. Option A is not true, as transactional sales data may have different formats, fields, and values in the two orgs. Option B is not necessary, as salespersons selling both product lines can use a single login in the merged org. Option C is not true, as business processes on standard objects may have different workflows, validation rules, and triggers in the two orgs.

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 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.

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 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.

Two testing types that an architect should recommend to ensure users don’t face platform slowdowns during peak business hours are: stress testing and performance testing. Stress testing is the process of testing the system under extreme load conditions, such as a large number of concurrent requests, to determine its breaking point and identify any potential bottlenecks or failures. Performance testing is the process of testing the system under normal or expected load conditions, such as the average number of requests per day, to measure its response time, throughput, and resource utilization. These testing types can help ensure that the web service can handle the expected volume and frequency of requests, and that it meets the performance and reliability requirements. Unit testing is not a testing type that an architect should recommend for this scenario, as it is the process of testing individual units of code, such as methods or classes, to verify their functionality and logic. Load testing is also not a testing type that an architect should recommend for this scenario, as it is the process of testing the system under a specific load condition, such as a fixed number of requests, to evaluate its behavior and performance. See Testing RESTful Web Services for more details.

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.

 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 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.

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.

 Creating a governance process requiring all projects to create project deliverable documentation is an option that an Architect should recommend, as it helps to ensure that the code and configuration are well documented and maintained, and that the administrators can understand the rationale and impact of the changes. Creating a standard method for deprecating classes and fields using design standards is also an option that an Architect should recommend, as it helps to avoid cluttering the org with unused or obsolete metadata, and to improve the performance and security of the application. Creating an adoption plan for end users using Salesforce dashboards and reports is not an option that an Architect should recommend, as it does not address the issue of how objects and fields are being used and how future implementations can be maintained. Creating a design standard requiring integration to use declarative configuration patterns is not an option that an Architect should recommend, as it does not address the issue of how objects and fields are being used and how future implementations can be maintained. Creating a governance framework focused on high-level business strategy and goals is not an option that an Architect should recommend, as it does not address the issue of how objects and fields are being used and how future implementations can be maintained.

 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 recommended mechanism for releasing the application that can be installed in the trading partners’ Salesforce environments is a managed package. A managed package is a collection of application components that can be distributed and installed in other orgs. Managed packages allow you to control the visibility and upgradability of the components, as well as provide namespace isolation and license management. Change sets are not suitable for releasing applications to other orgs, as they can only be used for orgs that are affiliated with the same production org. Unmanaged packages are not ideal for releasing applications that need to be updated frequently, as they do not allow you to push upgrades or control the components after installation. Zip file deployable by SFDX or ANT is not a user-friendly way of releasing applications, as it requires the users to have technical knowledge and tools to install the components.

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.

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.

 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 best practice is to always fix the bug in the developer environment where the project work was done, and follow the normal deployment and testing process. This ensures that the code is consistent, traceable, and validated across all environments. Fixing the bug in UAT is not ideal, as it can introduce new issues, create conflicts with other changes, and bypass the version control system. Spinning up a new sandbox for a hot fix is not necessary, as it can add complexity and overhead to the deployment process. Treating the issue as a change request and putting it in the backlog is not advisable, as it can delay the resolution and affect the user experience.

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.

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.

 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.

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.