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

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

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.

 This is the correct answer because it is a risk to have a fixed release date and budget, but unknown and changing requirements. This may lead to unrealistic expectations, scope creep, and poor quality of the application. The requirements should be solicited by an external community if they are the end users or stakeholders of the application. The project can use either the waterfall or agile methodology, depending on the nature and complexity of the project, but the methodology should be aligned with the requirements and the release date.

The sandbox types that the architect should recommend for batch data testing are Partial Copy sandbox and Full sandbox. These sandbox types allow the testing of large data sets that are similar to the production data. Developer Pro sandbox and Developer sandbox have limited storage and may not be able to accommodate the data needed for the batch data testing.