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

 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.

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.

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

 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 deployment tool for UC to use to manage their deployment process in an automated fashion is the Force.com Migration Tool, as it is a command-line tool that uses the Metadata API to deploy components from one org to another, and can be integrated with version control systems and continuous integration servers. Option A is not a good choice, as Workbench is a web-based tool that does not support automation or scripting. Option C is not a good choice, as Change Sets are a point-and-click tool that require manual steps to create and deploy. Option D is not a good choice, as Force.com IDE is a desktop tool that does not support automation or scripting.

The testing of the JavaScript part of the Aura component can be tested in the Jest framework and the Apex controllers can be tested using test classes. The testing can be viewed in the lightning.force.com/c/jasminetests.app URL. The page loads and runs Jasmine test and writes pass/fail information to the screen. The Lightning test service AppExchange package is not required for testing Aura components, but for testing Lightning web components. The $T test helper object is not a valid object for testing Lightning components.

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 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.

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

 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.

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.

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

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

 To support application lifecycle methodology, you need tools that can help you manage the source code, automate the deployment process, and track the issues and bugs. A version control repository is a tool that allows you to store, track, and collaborate on the source code of your application. A continuous integration tool is a tool that allows you to automate the deployment of your code to different environments, as well as run tests and validations. An issue tracking tool is a tool that allows you to record, monitor, and resolve the issues and bugs that arise during the development and testing phases. A database management system is a tool that allows you to store, manipulate, and query data, but it is not directly related to application lifecycle methodology. A middleware is a software layer that facilitates communication and data exchange between different applications, but it is not directly related to application lifecycle methodology either.

 The success criteria for data migration and the manual and automated data validation approaches are two key areas of UC’s data migration test plan that should be included. The success criteria define the expected outcomes and quality standards for the data migration process. The data validation approaches ensure that the data is accurate, complete, and consistent after the migration.

To delete metadata with a deploy() call, two things are needed: a package.xml file and a destructiveChanges.xml file. The package.xml file specifies the API version and the components to be deployed, while the destructiveChanges.xml file specifies the components to be deleted. The API version does not have to be the current one, as long as it is compatible with the components. The purgeOnDelete option is not required, as it only determines whether the deleted components are stored in the recycle bin or not.

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.

Kanban can help clarify whether value is being delivered to the business by using metrics, like lead time and throughput, which increase transparency. Lead time measures how long it takes to complete a work item from the time it is requested, and throughput measures how many work items are completed in a given time period. These metrics can help the business stakeholders see the progress and performance of the development teams, and align their expectations with the reality. Kanban does not respond to unplanned work and changes by dropping everything and jumping on the new request, as this would disrupt the flow and quality of work. Kanban does not make use of the Salesforce Agile Accelerator, as this is a tool for managing agile projects. Kanban does limit work in progress, but this is not the main reason why it can help clarify whether value is being delivered to the business.

This is the correct answer because a partial copy sandbox can provide a subset of production data that is refreshed every 5 days. This way, the user acceptance and functional teams can test independently in isolation, and on current production data that was modified within the last week. A developer pro sandbox has a limited data storage and cannot store enough data for testing. A developer sandbox has no data and is only suitable for development and testing of code. A full sandbox can provide a complete copy of production data, but it can only be refreshed every 29 days, which may not meet the requirement of testing on data that was modified within the last week.

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

 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 recommendation to satisfy the customer requirements is to use a Continuous Integration and Continuous Deployment tool and build the pipeline to deploy to sandboxes and production. A Continuous Integration and Continuous Deployment tool can automate the process of building, testing, and deploying the changes to different environments, as well as provide feedback and visibility into the deployment status and results. This can help to streamline and accelerate the deployment process, as well as to ensure consistency and quality across the environments. Using SFDX and documenting the deployment commands with steps to be executed for each environment is not a good recommendation, as it still requires manual intervention and execution, which can be error-prone and time-consuming. Using ANT script and building a custom application to run the script and use change sets to deploy supported metadata is not a good recommendation, as it involves using multiple tools and methods, which can increase the complexity and risk of the deployment process. Using an AppExchange solution that packages the deployment components and you can run the deployment wizard to track deployment result is not a good recommendation, as it may not support all the metadata types and features that need to be deployed, and it may not integrate well with the SFDX tools and methodologies that UC is using.

 Using a Source Control system alongside a multi-sandbox development strategy has several advantages, such as performing code reviews before promoting to a pre-production sandbox, keeping a history of changes made by each developer, and creating a branching strategy that tracks each feature or change separately. Automatically deploying changes from sandbox to production is not an advantage of Source Control, but rather a function of a Continuous Integration tool. Acting as a backup in case of catastrophic data loss is not an advantage of Source Control, but rather a benefit of having a sandbox strategy.

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

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.

 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.

 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.

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.

The Scrum value that is compromised by this bad practice is courage, because the teams should be transparent about progress and speak up when they need help. Courage is one of the five core values of Scrum, and it means that the team members have the courage to do the right thing and work on tough problems. By not updating the status of their work in progress, the team is hiding potential issues and risks, and not being honest with themselves and others.

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.

Allowing no code/configuration changes directly in the production org and using Metadata API to automate deployment to the production org are two options that will streamline the process. These options help to enforce a consistent and controlled deployment process that avoids manual errors and conflicts in the production org.

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

Utilizing Heroku Connect to provide test class data is not a recommended method of creating test data in Salesforce, as it can introduce unnecessary complexity and dependency on an external system. Referencing data from middleware directly within your test class is also not a good practice, as it can make your test class unreliable and dependent on the availability of the middleware. Hosting a mock endpoint to produce sample information from an endpoint and loading a CSV as a static resource and referencing it in a test class are both valid methods of creating test data in Salesforce, as they allow you to isolate your test class from external factors and ensure consistent results. See Create Test Data for Apex Tests for more details.

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

 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 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.

Two advantages of automated test data loads over manual data loads are that automated loads can be done with no human oversight and that automated loads are reliable in their results. Automated loads can be scheduled and executed without human intervention, which saves time and effort. Automated loads can also ensure that the data is consistent and accurate, which reduces errors and risks. Automated loads do not necessarily increase costs, as they can also save money in the long run by improving efficiency and quality. Automated loads can also be scripted by CICD tools, which is one of the benefits of using them.

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

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.

Managed package is the recommended mechanism for releasing an application that can be installed in other Salesforce environments. Managed packages allow for versioning, licensing, and upgradeability of the application. They also protect the intellectual property of the developer by hiding the source code of the Apex classes and Visualforce pages.

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.

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

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 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 package development model relies on source tracking to automatically track the metadata changes in the package project. However, not all metadata components are supported by source tracking, and some changes may need to be tracked manually. For example, changes to profiles, permission sets, custom metadata types, and custom settings are not supported by source tracking. You can find the list of unsupported components here1. No manual tracking is required for the changes that are supported by source tracking, nor for the changes made via the Setup UI, as they are automatically captured by the package development model.

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

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

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.

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.

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

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

The 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

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

The best 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.

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

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.

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.

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.

Multiple triggers on the same object can cause conflicts and performance issues. Multiple unit test failures can indicate poor code quality and lack of maintenance. Duplicated logic across Visualforce pages and Apex classes can lead to inconsistency and redundancy.

 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.

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.