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| Vendor: | Salesforce |
|---|---|
| Exam Code: | Plat-Arch-202 |
| Exam Name: | Salesforce Certified Platform Development Lifecycle and Deployment Architect |
| Exam Questions: | 118 |
| Last Updated: | October 6, 2026 |
| Related Certifications: | Salesforce Architect |
| Exam Tags: |
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Universal Containers (UC) has gone through a global organization restructuring and process review during the last year, which triggered a review of its Salesforce org strategy. After thorough analysis of its org and global customers, UC decided to start a project to merge its Salesforce orgs, going from a multi-org to a single-org strategy.
In this scenario, what are three benefits going to a single-org strategy? Choose 3 answers
The correct selection is A, B, E. Moving to a single org can reduce duplicated administration, improve collaboration across business units, and make a unified customer view easier. Consolidating processes and data models still requires deliberate harmonization, so those outcomes are not automatic simply because orgs are merged. From a system-design perspective, the decision should minimize unnecessary coupling while preserving clear ownership, scalability, governance, and extensibility. Salesforce architecture is strongest when boundaries reflect real business and technical responsibilities instead of using organizational convenience as the primary design driver. The other options introduce tighter coupling, duplicate governance, or solve a different architectural concern and therefore do not satisfy the stated boundary and ownership requirements. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Lower administration overhead costs.; B. Improved Chatter collaboration across different business units.; E. Easier to get a 360-view of the customer.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.
Study Guide reference: System Design --- org strategy; modular architecture; integration topology; data ownership; enterprise governance; scalability.
Universal Containers wants to delete the day's test data in a partial copy sandbox every night, setting the sandbox back to a fresh state for tomorrows testing. The test data is approximately 1GB.
What is the best strategy the architect should recommend?
The correct selection is B. A scheduled Batch Apex cleanup job can delete the day's roughly 1 GB of test records in scalable chunks. A Partial Copy sandbox cannot be refreshed nightly under the normal refresh interval, and manual deletion or nightly sandbox recreation would be inefficient and operationally fragile. From a testing perspective, the goal is deterministic evidence that the solution behaves correctly under the conditions that matter. Tests should isolate external dependencies, use controlled data, exercise positive and negative paths, and reproduce realistic volume or user behavior where required without making production the first place defects are discovered. The rejected choices either test the wrong layer, introduce live-system dependencies, or detect problems too late to provide the deterministic early feedback expected from a mature test strategy. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (B. Execute a batch job that deletes all records created on the day.). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.
Study Guide reference: Testing --- Apex testing; test-data isolation; mocks; regression testing; performance/load testing; sandbox test strategy.
A financial services company manages customer data across multiple Salesforce orgs (North America, EMEA, and APAC), each with identical configurations, custom fields, and validation rules. The enterprise architecture requires deploying configuration updates simultaneously across all three orgs to maintain compliance consistency. The current process involves manually exporting metadata from the primary org and re-importing it to each regional org, which takes 4 days and frequently results in inconsistent deployments.
Which approach best addresses the multi-org deployment and configuration management challenges while maintaining compliance integrity?
The correct answer implements a modern, scalable multi-org deployment strategy. A version-controlled source-of-truth repository provides the single source of truth for all metadata, eliminating manual export/import errors. Salesforce CLI with orchestration tooling enables simultaneous, atomic deployments across all three orgs with validation gates, reducing the 4-day manual process to hours while ensuring consistency. Separating reference data and environment-specific overrides allows compliance configurations to remain identical while permitting regional customizations where necessary. This approach is compliant, auditable, and repeatable.
Option B uses managed packages, which are designed for ISV-vendor distribution, not internal multi-org synchronization; manual UI updates bypass version control and audit trails. Option C introduces bidirectional sync and manual reconciliation, which is antithetical to compliance requirements and creates version conflicts. Option D consolidates orgs, eliminating the separation of concerns needed for regional compliance autonomy. Option E uses change sets, which are not version-controlled, do not scale to three orgs efficiently, and lack the automation needed to eliminate the 4-day process.
Your organization is implementing a comprehensive test data strategy for a Salesforce application that processes sensitive customer financial data. The development lifecycle includes multiple sandboxes (dev, integration, UAT, and staging), and regulatory compliance requires that production data never be copied to non-production environments. Teams need realistic test data to validate business logic, but they also must maintain security and comply with data masking policies.
Which approach best satisfies the requirements for test data strategy across the development lifecycle?
The correct answer separates test data from production data entirely while maintaining realism: synthesized data avoids any production data exposure; data factory pattern in Apex ensures consistency and allows teams to generate test records matching real business scenarios; separate reference data sets per tier enable appropriate complexity at each stage (dev needs minimal; staging needs full fidelity); and encrypted fields in test records maintain security practices in development.
Option 1 violates the regulatory requirement by copying production data and incorrectly assumes field-level security masks data (it controls visibility, not masking). Option 3 explicitly uses production data, which the prompt forbids. Option 4 creates an unmaintainable external system, introduces copy delays, and misunderstands that Salesforce encryption protects at-rest data—it does not substitute for access control or data governance. Only Option 2 provides realistic data, complies with regulations, and scales across the sandbox strategy.
There are many types of quality assurance techniques that can help minimize defects in software projects.
Which two techniques should an architect recommend, for Universal Containers to incorporate into its overall CI/CD pipeline? Choose 2 answers
The correct selection is A, B. Static analysis and automated browser tests are repeatable controls that fit naturally into CI/CD. Static analysis catches security and code-quality defects before merge, while browser automation provides end-to-end regression coverage of user-facing flows; stress and business-verification testing are typically downstream activities rather than every-build gates. From a testing perspective, the goal is deterministic evidence that the solution behaves correctly under the conditions that matter. Tests should isolate external dependencies, use controlled data, exercise positive and negative paths, and reproduce realistic volume or user behavior where required without making production the first place defects are discovered. The other options are weaker because they sacrifice isolation, realism, or repeatability and therefore make failures harder to reproduce and diagnose across environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Static code quality analysis; B. Automated browser testing). Applying that rule consistently keeps the implementation aligned with Salesforce-supported lifecycle practices and makes the resulting change easier to review, validate, and operate across environments.
Study Guide reference: Testing --- Apex testing; test-data isolation; mocks; regression testing; performance/load testing; sandbox test strategy.
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