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

 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 usual symptoms of inadequate negative tests are the ones that indicate that the code is not handling the possible errors or exceptions that may occur in different scenarios. For example, when an Apex batch job runs at a scheduled time, an increased number of Apex execution errors occur over all1, this means that the code is not handling the possible concurrency issues, governor limits, or data quality issues that may arise when the job runs. Similarly, when an Apex process runs into an un-handled exception when an HTTP callout has an unexpected status code in the response body1, this means that the code is not handling the possible network issues, authentication issues, or API errors that may occur when making the callout. Another symptom is when developers constantly ask the testers for a screenshot of the error and the exact steps of reproducing the error1, this means that the code is not logging the error details or providing meaningful error messages to the users. Option A is incorrect because turning to the debug log for details of the failed Apex executions is not a symptom of inadequate negative tests, but a normal practice of debugging the code. Option E is incorrect because the delivered user interfaces are not meeting the expectations of the business users is not a symptom of inadequate negative tests, but a symptom of poor user interface design or incomplete requirements.

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.

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.

Apex CPU limits and HTTP response size are two limitations that an architect should consider when designing a strategy for managing technical reference data, with multiple related objects. Apex CPU limits may be exceeded if the data retrieval or manipulation logic is complex or inefficient. HTTP response size may be too large if the data payload contains many related objects or fields. Circular relationships and depth of nested relationships are not limitations, but design considerations that may affect the data model and query performance.

The best practice for writing test classes is to not use SeeAllData and generate data in the test methods. This ensures that the test classes are independent of the data in the org and can run successfully in any environment. Creating test data in production or setting SeeAllData to True can cause unexpected failures or data conflicts.

Creating transparency by being honest and clear about timing, planning, and obstacles is one of the Scrum principles, as it helps to build trust and collaboration among the team and the stakeholders. Delivering working software is also a Scrum principle, but it does not mean that the software should not be changed if it is working. Respect is another Scrum principle, but it does not imply that a developer should not test the software, as testing is part of the development process. Embracing change is also a Scrum principle, but it does not mean that the scope should change every day, as that would make it impossible to deliver value and quality.

 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 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.