Pass the Salesforce Developer Development-Lifecycle-and-Deployment-Architect Questions and answers with ValidTests

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.

 Identifying the relevant data and verifying the data integrity can help ensure the quality and accuracy of the migrated data. Using a full sandbox and performing test runs with real data can help validate the migration process and identify any issues or risks.

 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.

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.

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.

The architect should recommend generating mock data that mimics production data shape and volume, and performing data masking on full sandbox after a refresh. These options allow the team to create realistic data sets for testing without violating the regulations that prohibit the use of production data in non-production environments. Requesting a partial sandbox copy after the next Salesforce release is not a valid option, as partial sandboxes are refreshed on demand and not tied to Salesforce releases. Using Query Analyzer in production is not a way to perform data volume testing, as it only analyzes the performance of SOQL queries.

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.

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.

An unmanaged package is a suitable option for deploying an application from a contractor’s own Salesforce to UC’s Salesforce environments. An unmanaged package allows the contractor to share the application code with UC, while giving UC full control and ownership of the code. An unmanaged package also does not require a namespace prefix or a security review.

 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.