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

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.

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

Designing the right sandbox strategy for the release is a best practice, as it helps to ensure the quality and consistency of the code/configuration across different environments. Regression testing is mandatory for each release, as it helps to verify that the existing functionality is not broken by the new changes. Maintaining a pre/post deployment checklist for each release is a best practice, as it helps to track the tasks and dependencies for each deployment. Release sign-off is not only required for Production, but also for other environments such as UAT and Staging. Publishing a release calendar for each phase of the release is not a best practice, as it may change due to unforeseen circumstances and create confusion.

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.

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.

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

 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.

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

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

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

 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.

 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 org development model is a traditional approach that uses sandboxes as the primary development environments. It relies on tools such as change sets, the Ant Migration Tool, or the Metadata API to deploy changes between orgs. One of the benefits of this model is that it allows automated deployment, meaning that the deployment process can be scripted and executed without manual intervention. This can save time and reduce errors. Another benefit of this model is that it allows automated sandbox provisioning, meaning that the creation and configuration of sandboxes can be done programmatically using the Sandbox API or the Salesforce CLI. This can help maintain consistency and alignment across different environments. Automated defect fixing and automated change tracking are not characteristics of the org development model, but rather of the package development model, which uses source code as the source of truth and supports source tracking and automated testing.

 Fixing the issue in hotfix, testing, and deploying to production is the best option when UC has PI issues and has to be fixed immediately. A hotfix sandbox is a type of sandbox that is used for emergency fixes in production. It is a copy of the production org and has a shorter refresh interval than other sandboxes. A hotfix sandbox allows the team to quickly fix and test the issue without affecting the ongoing development and release cycles.

 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.

 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.

 The daily release process is the most suitable for creating a new report to support an urgent client request, as it can deliver the functionality in a timely manner. Creating the report in a full sandbox and then deploying it to production can ensure the quality and security of the report.

 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.

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.

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

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

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

These are the correct answers because they are essential components of a governance framework that helps to manage the changes and enhancements to the Salesforce application. Requirements management is the process of capturing, analyzing, prioritizing, and tracking the business needs and requests. Change control log is the tool that records and tracks the status of all change requests and approvals. Documentation repository is the central place that stores and organizes all the project artifacts and deliverables. Automated testing and continuous integration are not necessary components of a governance framework, but rather best practices for ensuring the quality and reliability of the code and configuration.

 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.

 The following issues could be affecting their deployment times:

The number and complexity of Apex tests will have a large impact on the deployment time, as the tests will take longer to run and consume more resources.

Some components such as profiles, custom junction objects, and fields take longer to process than others, as they have more dependencies and validations to check.

Users are working in the org during deployment can affect users and the deployment, as they can lock records or metadata components that are being deployed, causing errors or delays.

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.

The product team should review the Checkmarx errors and determine if they need to fix them or not. If the errors are false positives, meaning that they do not indicate a real security issue, the product team should mark them as such and attach an explanation, then submit the security review. This will help the Salesforce security review team to understand the rationale behind the code and avoid unnecessary rejections. The product team should not leave the errors to the Salesforce security review team, as they may reject the request if they find any potential security issue. The product team should not leave a partner support case, as this is not the proper channel for resolving code issues. The product team should not fix all the errors before submitting the security review, as some of them may not be relevant or critical, and fixing them may introduce new bugs or delays.

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.

 REST API SObject Tree Request and REST API Composite Request are two ways to insert multiple related records in one call or transaction. REST API SObject Tree Request allows you to create nested records that share a root record. REST API Composite Request allows you to execute a series of REST API requests in a single call. Bulk API 2.0 and Streaming API are not suitable for inserting multiple related records in one call or transaction. Bulk API 2.0 is used for loading large batches of data asynchronously, and Streaming API is used for receiving notifications of data changes in real time.

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.

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

 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.

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

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

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.

To reduce deployment time, UC can use the following strategies:

Use recent deployment validations and the quick deploy feature, which can allow them to skip the validation step in production and deploy the changes faster, if they have already validated the changes in a sandbox within the last four days.

Specify the test to run by using RunSpecifiedTests test level, which can allow them to run only the tests that are relevant to the components being deployed, instead of running all the tests in the org.

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 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.

 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.

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

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

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

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

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

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

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

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

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.

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

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

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

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.

 In the post refresh plan, modifying external ids to a known valid set of values for UAT is the best way to resolve the issue of objects that have external ids from production no longer pointing to valid external ids in the UAT environment. This way, the data integrity and consistency across the integrated systems can be maintained. Letting UAT point to production integrations and rolling back each transaction after it finishes is not a good practice, as it can cause data loss or corruption in production. Deleting all the data and using an automated testing tool to create new data across all the systems in UAT is not feasible, as it can take a lot of time and resources. Masking the external id so nobody can see the production value is not a solution, as it does not address the underlying problem of invalid references.

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

The first step in establishing a governance framework is to identify the relevant stakeholders from within the organization to obtain their goals and objectives. This will help to define the scope, roles, responsibilities, and processes for managing the Salesforce initiatives. The other options are possible steps to take later, but not the first one.

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

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

 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.

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

The best options to enforce code quality in UC’s continuous integration process are to introduce manual code review before deployment to the testing sandbox and to introduce static code analysis before deployment to the testing sandbox. Manual code review can help identify and fix any errors, bugs, or best practices violations in the code. Static code analysis can help check the code quality, complexity, and security using automated tools and standards. Introducing manual code review before deployment to the production org may be too late, as the code may have already caused defects or issues in the testing sandbox. Increasing the size of the testing team assigned to the project may not improve the code quality, as the testing team may not have the skills or authority to review or modify the code. Testing data creation is outside the scope of code quality.

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.

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.

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

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

 Two options that should be considered when making production changes in a highly regulated and audited environment are: all changes including hotfixes should be reviewed against security principles, and any production change should have explicit stakeholder approval. These options can help ensure that the changes are compliant with the regulations and have the necessary authorization and documentation. No manual steps should be carried out is not a valid option, as some changes may require manual steps, such as data migration or post-deployment verification. After deployment, the development team should test and verify functionality in production is also not a valid option, as testing and verification should be done in a lower environment before deploying to production, and the responsibility of testing and verifying functionality in production should be assigned to a different team than the development team. See Application Lifecycle and Deployment for more details.

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

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.

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

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.