Salesforce Development-Lifecycle-and-Deployment-Architect Salesforce Certified Development Lifecycle and Deployment Architect (WI25) Exam Practice Test

The best option for UC is to refresh Stage now, and do not refresh UAT. This way, Stage will be on the preview instance and UAT will not. This will allow UC to test their application on both the current and the next Salesforce version, and ensure that they can release on the current version without any issues. Option B is incorrect because it is not necessary to check the Sandbox Preview Guide or refresh and redeploy to UAT. Option C is incorrect because it is too late to work with support to get on the preview instance after the cutoff dates. Option D is incorrect because it will result in both Stage and UAT being on the same version, which will not allow UC to test their application on the next Salesforce version.

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.

A source control tool provides the ability for distributed teams to work in isolation, as they can create branches and merge their changes later. It also provides the ability to backup code/configuration changes, as they can be stored in a remote repository and retrieved if needed.

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.

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.

 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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Active Process Builders are configuration items that should be covered by executable tests, as they can have complex logic and actions that affect the behavior and performance of the application. Validation Rules, Workflow Rules, and Case Assignment Rules are also configuration items, but they are simpler and less likely to cause errors or conflicts. Therefore, they can be verified by manual testing or declarative tools.

 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.

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

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

The most important factor to consider before recommending Performance testing is the number of concurrent transactions, as this will affect the response time and throughput of the system. Option A is not relevant, as unit tests are used to verify the functionality and quality of the code, not the performance. Option B is not related, as Apex Hammer failures are used to check the compatibility of the code with new platform releases, not the performance. Option C is not helpful, as debug log entries are used to troubleshoot errors and issues, not the performance.

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

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

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.

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.

 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.

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

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 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 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.

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

The architect should recommend the use of an automated testing tool daily in all Developer Orgs, and when branches are merged. This strategy allows the team to catch and fix any errors or bugs early in the development cycle, and to ensure that the code is stable and consistent before deployment. Running automated tests only when branches are merged is not sufficient, as it may delay the detection and resolution of issues. Running automated tests only in Full or Partial Copy sandboxes is not advisable, as it may not cover all the scenarios and environments.

QUESTIONNO: 172

Universal Containers (UC) is a large enterprise with a complex system landscape. UC is

currently rolling out new infrastructure and strategies around Salesforce DevOps. Some of the

key feature’s UC is looking to support is rollback of metadata after a deployment, and the

backup and restore of data to help recover from deployment issues, system bugs, or outages in

their downstream systems.

Regulations in the industry mean that UC must be able to provide strategies to recover and

rollback from issues. The regulator has discovered UC is not currently providing these, and must

do so as soon as possible to remain compliant.

What should an architect advise?

A. Salesforce backs up all data and will restore it for customers on request.

B. Evaluate third-party and AppExchange products.

C. Advise stakeholders that rollback is not possible for Salesforce.

D. Custom build a feature rollback and data restore tool for Salesforce

Answer: B

The architect should advise UC to evaluate third-party and AppExchange products that can provide the features they are looking for, such as rollback of metadata and backup and restore of data. Salesforce does not offer these features natively, and building a custom solution can be costly and time-consuming. There are several products available in the market that can help UC meet their regulatory requirements and recover from issues. For example, Gearset is a DevOps tool that can perform metadata rollback and data backup and restore, among other features

C is the correct answer, as creating a custom metadata type and including this in your deployment to production is the best way to manage this deployment. A custom metadata type is a metadata component that can store important configuration data, such as custom settings, and can be deployed along with other components, such as Apex classes. A is incorrect, as scripting the deployment of all functionality via the Force.com Migration Tool is not a good way to manage this deployment, as it does not address the issue of deploying the custom settings that hold the configuration data. B is incorrect, as manually deploying and populating custom settings in production using a change set is not a good way to manage this deployment, as it can introduce errors and inconsistencies, as well as require additional steps and permissions. D is incorrect, as manually deploying and populating the custom settings in production prior to the Apex class deployment is not a good way to manage this deployment, as it can create dependency and timing issues, as well as require additional steps and permissions. You can learn more about this topic in the [Custom Metadata Types] module on Trailhead.

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.

The architect should recommend using Git to create a release branch from the develop branch. All fixes must be made in the release branch. After deployment, merge release with develop. This strategy allows the team to isolate the changes that are ready for deployment from the changes that are still in progress. It also ensures that the fixes are applied to both the release and the develop branches. The other options do not follow the best practices of Git branching and merging.

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.

Minor and Major releases should use the same Full copy sandbox for UAT, as this will ensure that the testing environment is consistent and has the same data and configuration as the production org.

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.

A and D are the correct answers, as they are the locking behaviors that will occur during a deployment. A is correct, as the production org will be locked and administrators cannot modify metadata during this time, to prevent any conflicts or inconsistencies in the deployment. D is correct, as the production org will be locked and users will still be able to read/write data to the org, to minimize the impact on the business operations and user experience. B is incorrect, as the sandbox org will not be locked and administrators can still modify metadata, as the sandbox org is not the target of the deployment. C is incorrect, as the production org will not be locked and users can only read data during this time, as this would disrupt the business operations and user experience. You can learn more about the locking behaviors in the [Deploy Changes with Change Sets] 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.

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.

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.

 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.

The best strategy to delete the day’s test data in a partial copy sandbox every night is to execute a batch job that deletes all records created on the day. This way, you can automate the process of cleaning up the test data and avoid manual work. Manually deleting all records individually is time-consuming and error-prone. Creating a new developer copy sandbox every night is unnecessary and wasteful, as developer copy sandboxes have limited storage and functionality. Refreshing the sandbox every night is also not feasible, as partial copy sandboxes have a refresh interval of 5 days.

 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.

 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.

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

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

 The 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 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 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.

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 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.

Building an Apex framework to deploy CPQ records and using an open source SFDX plugin and version control are two best practice recommendations an architect should propose to allow UC to deploy CPQ features as part of their CI/CD process. Building an Apex framework to deploy CPQ records is a good practice, as it allows the architect to automate the deployment of the configuration SObjects that drive the business logic of CPQ, and to avoid manual steps or errors. Using an open source SFDX plugin and version control is another good practice, as it allows the architect to leverage the benefits of the Salesforce DX development model, such as source-driven development, modular packaging, and team collaboration. Using a third-party product or data loader to deploy CSV files are not best practices, as they can introduce additional costs, dependencies, or risks to the deployment process.

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.

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 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.

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

Test classes should execute under various profiles to ensure that the code works for different user permissions and sharing settings. Test data must have positive as well as negative data to cover all possible scenarios and edge cases.

 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.

 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.

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.

 C and D are the correct answers, as Load Test and Performance Test are the test types that should be suggested to ensure that a large inbound call center does not experience platform slowdowns under high call volume for the Lead object. A load test is a test that measures the performance and behavior of the system under a specific load, such as a large number of concurrent users or requests. A performance test is a test that measures the speed, responsiveness, and stability of the system under various conditions, such as different configurations or environments. These tests can help to identify and prevent any potential issues or bottlenecks that could affect the user experience or the system functionality. A is incorrect, as Unit Test is not a test type that should be suggested for this scenario, as it is a test that verifies the functionality and logic of a single unit of code, such as a method or a class, but not the performance or behavior of the system as a whole. B is incorrect, as Stress Test is not a test type that should be suggested for this scenario, as it is a test that measures the performance and behavior of the system under extreme or abnormal conditions, such as exceeding the capacity or resources of the system, but not the performance or behavior of the system under normal or expected conditions. You can learn more about these tests in the Testing Strategies module on Trailhead.

 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 option is to refactor the approach to the feature in an upgraded sandbox, as this will allow the developer to test the compatibility and functionality of the code with the new platform release. Option A is risky, as Salesforce may not fix the issue before the production upgrade. Option B is not feasible, as changing the API version of the code will not change the platform version of the sandbox. Option C is not recommended, as delaying the upgrade will only postpone the problem and may cause more issues later.

 In the change set model, the source of truth is a combination of the metadata already in the environment and the content of your change set, as you stated correctly. However, a change set cannot be retrieved from the developer’s workbench as a package, nor can it be pushed into the version control system. Change sets are only available within the Salesforce UI, and they are not compatible with version control systems. In the package development model, the source of truth is the metadata in the package project, which makes it easy to integrate to a version control system, as you stated correctly. Additionally, in the package development model, the best practice is to consider the dependencies and build them into the package so it can be deployed in any other target orgs. This ensures that the package is self-contained and does not rely on external components that may not exist in the target org.

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

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.

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.

Creating design standards focused on integration and providing training to all teams is the best way to address the challenges of having various integration patterns and a lack of common understanding of the integration landscape. Design standards can help to establish consistent and best practices for integrating Salesforce with other systems, such as choosing the appropriate integration style, pattern, tool, and protocol. Training can help to educate and align the teams on the design standards and the integration architecture.

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

The best way to migrate from a managed package to an unlocked package is to split the components into two packages: one for the objects and fields, and one for the classes, Visualforce, and other components. This way, the data and integrations with the objects and fields of the managed package are preserved, and the classes and Visualforce can be modified and deployed using CI/CD processes with the unlocked package. Exporting and restoring the data from the managed package is not a feasible solution, as it would require a lot of effort and risk data loss or corruption. Installing the unlocked package with the same namespace as the managed package is not possible, as namespaces are unique and cannot be reused. Staying with the managed package is not a good option, as it does not allow for better integration with CI/CD processes.

 B and D are the decisions that should be made by an Architecture Review Board (ARB), as they involve choosing the best methodology and authentication mechanism for the project, which have significant impacts on the project scope, quality, and security. A is not a decision that should be made by an ARB, as it is a low-level design decision that can be made by the developers or technical leads. C is not a decision that should be made by an ARB, as it is a testing decision that can be made by the testers or quality assurance leads.

QUESTIONNO: 87

What is the process used to initiate a connection for change sets?

A. Modify the source org to allow an outbound connection to the target org

B. Modify the target org to accept an outbound connection from the source org

C. Modify the target org to accept an inbound connection from the source org

D. Modify the source org to allow an inbound connection to the target org

Answer: A

A is the correct answer, as the process to initiate a connection for change sets is to modify the source org to allow an outbound connection to the target org. B and C are incorrect, as the target org does not need to accept any connection from the source org, but only to deploy the inbound change sets that are sent from the source org. D is incorrect, as the source org does not need to allow any inbound connection to the target org, but only to create and upload the outbound change sets to the target org. You can learn more about this process in the Change Sets Basics module on Trailhead.

 Automated browser testing and static code quality analysis are two quality assurance techniques that can help minimize defects in software projects, and that an architect should recommend for Universal Containers to incorporate into its overall CI/CD pipeline. Automated browser testing is a technique that involves using tools or frameworks to simulate user interactions with the web application across different browsers and devices, and to verify the functionality and performance of the application. Static code quality analysis is a technique that involves using tools or frameworks to scan the code and detect any violations of the predefined coding rules and best practices, such as syntax errors, security issues, code smells, etc. Business verification testing and stress testing are also quality assurance techniques, but they are not as suitable or relevant for the CI/CD pipeline, as they are more focused on validating the business requirements and the system capacity.

Integrating an agile issue tracker with software testing and continuous integration tools can provide the following benefits:

Developers can see automated test statuses that commit on a specific user story, which can help them identify and fix any errors or failures quickly.

Developers can use the committed code’s build status directly on the user story record, which can help them track the progress and quality of their work.

Using continuous integration with automation testing is a development practice that will help to reduce the amount of bugs, as it allows the code to be built and tested frequently and automatically. Encouraging the development team to do peer code review is a development practice that will help to reduce the amount of bugs, as it allows the code to be checked and improved by other developers. Incorporating test-driven development into the project structure is a development practice that will help to reduce the amount of bugs, as it requires the developers to write tests before writing code and ensure that the code meets the test criteria. Enabling the development team to be self-organizing is not a development practice that will help to reduce the amount of bugs, as it does not directly affect the quality of the code. Enabling a short and timely feedback loop with customers is not a development practice that will help to reduce the amount of bugs, as it does not directly affect the quality of the code.