Free Salesforce Plat-Arch-202 Practice Exam with Questions & Answers | Set: 2

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.

The correct selection is A, B, E. Partner Developer Edition provides greater team capacity than an individual Developer Edition org, including more licenses, more storage, and a higher API allocation. Managed beta support and non-expiration are not exclusive differentiators of the partner environment. From a planning perspective, the architect must reduce uncertainty before execution by defining ownership, governance, environment purpose, prioritization, and measurable acceptance criteria. Decisions should be repeatable and visible across teams so delivery capacity, risk, and stakeholder expectations remain aligned throughout the lifecycle. The other choices either shift accountability to the wrong role, create unnecessary operational work, or ignore the stated timing, governance, and risk constraints. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Partner development org has a greater number of licenses available for the team.; B. Partner development org offers higher API limit.; E. Partner development org offers more storage.). 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: Planning — governance; agile planning; environment strategy; backlog prioritization; sandbox strategy; stakeholder alignment.

The correct selection is B. A conflict becomes visible when GitHub evaluates the ServiceCase pull request against the now-updated UCDev target branch. Local add, commit, and push operations do not attempt that merge and therefore do not inherently reveal the target-branch conflict. From a build perspective, the implementation should be source-driven, reviewable, automatable, and modular. Engineering controls such as version control, package boundaries, static analysis, coding standards, and isolated development environments reduce defects early and make changes easier to understand, test, and promote. The rejected choices either rely on manual review alone, use the wrong development abstraction, or introduce custom complexity where Salesforce already provides a source-driven engineering mechanism. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (B. The conflict would show in GitHub when a pull request is created from ServiceCase to UCDev.). 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: Building — Salesforce DX; package development; coding standards; static analysis; source control; secure development.

The correct selection is D. Custom metadata types are designed for deployable application configuration. Because their records are metadata, service-center definitions can travel with the release through packages, change sets, or Metadata API rather than being manually recreated as ordinary data in every sandbox. From a deployment perspective, the same release should be reproducible across environments, with dependencies, metadata/data differences, API behavior, and target-org constraints identified before production. Automation is valuable because it turns deployment knowledge into a controlled process rather than relying on memory or manual reconstruction. The rejected alternatives do not meet the deployment requirement because they introduce drift, ignore target-org compatibility, or substitute a convenience tool for a reproducible release artifact. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (D. Add all of the service centers to a custom metadata type.). 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: Deploying — Metadata API and Tooling API; deployment validation; package/change-set deployment; data migration; dependency management.

The correct selection is B, C. In Metadata API, the definition of a custom metadata type is represented through CustomObject metadata, while its individual records are CustomMetadata components. Both must be included when moving the complete custom-metadata configuration between environments. From a deployment perspective, the same release should be reproducible across environments, with dependencies, metadata/data differences, API behavior, and target-org constraints identified before production. Automation is valuable because it turns deployment knowledge into a controlled process rather than relying on memory or manual reconstruction. The other choices either rely on manual reconstruction, use a deployment mechanism designed for a different scope, or fail to preserve dependencies and repeatability across target environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (B. CustomMetadata; C. CustomObject). 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: Deploying — Metadata API and Tooling API; deployment validation; package/change-set deployment; data migration; dependency management.

The correct selection is A, D. A deployment rehearsal in a representative sandbox and final validation of the exact deployment package against production are the two strongest techniques for reducing last-minute release risk. They expose dependency, test, sequencing, and target-org issues before the limited go-live window. From a deployment perspective, the same release should be reproducible across environments, with dependencies, metadata/data differences, API behavior, and target-org constraints identified before production. Automation is valuable because it turns deployment knowledge into a controlled process rather than relying on memory or manual reconstruction. The other choices either rely on manual reconstruction, use a deployment mechanism designed for a different scope, or fail to preserve dependencies and repeatability across target environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Create a new sandbox and perform a test deployment to that environment.; D. Validate the final deployment package against production prior to go-live). 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: Deploying — Metadata API and Tooling API; deployment validation; package/change-set deployment; data migration; dependency management.

The correct selection is B, D. Development standards and training reduce the number of defects that reach reviewers, while static analysis in the pipeline removes routine quality and security findings before manual review. This improves both code quality and delivery throughput without eliminating essential human review. From a build perspective, the implementation should be source-driven, reviewable, automatable, and modular. Engineering controls such as version control, package boundaries, static analysis, coding standards, and isolated development environments reduce defects early and make changes easier to understand, test, and promote. The alternatives do not create the same repeatable engineering control: they either postpone defect detection, couple teams unnecessarily, or bypass the package/source model that should govern the change. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (B. Create development standards and train teams in those standards.; D. Use static code analysis tool in the pipeline before manual code review.). 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: Building — Salesforce DX; package development; coding standards; static analysis; source control; secure development.

The correct selection is C, D. A multi-org Customer 360 strategy should avoid uncontrolled point-to-point connectivity. A reusable package can standardize common customer-view functionality across orgs, while a hub-and-spoke pattern centralizes authoritative customer data and lets business-unit orgs integrate to that master. 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 rejected designs either centralize too much, fragment without justification, or use a mechanism that does not create the required architectural contract between systems or teams. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (C. Implement 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.; D. Implement 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.). 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.

The correct selection is A, D. Developer Edition and Partner Developer Edition are the appropriate environments for building commercially distributed managed packages. Partner Developer Edition adds partner-oriented capacity, whereas customer sandboxes are intended for org-specific lifecycle work rather than acting as the primary packaging org for an AppExchange product. From a build perspective, the implementation should be source-driven, reviewable, automatable, and modular. Engineering controls such as version control, package boundaries, static analysis, coding standards, and isolated development environments reduce defects early and make changes easier to understand, test, and promote. The rejected choices either rely on manual review alone, use the wrong development abstraction, or introduce custom complexity where Salesforce already provides a source-driven engineering mechanism. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Developer Edition; D. Partner Developer Edition). 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: Building — Salesforce DX; package development; coding standards; static analysis; source control; secure development.

The correct selection is C, D. Regulated production changes require explicit approval and post-deployment verification. Approval establishes accountable authorization before implementation, while controlled production smoke testing and monitoring confirm the deployed release behaves as intended and provide evidence for the audit trail. From a release perspective, approved functionality must be isolated from unfinished work and promoted through a predictable, auditable path. Release calendars, validation, stakeholder approval, rollback planning, and branch discipline reduce the risk that a technically correct change becomes an operational failure during production promotion. The rejected alternatives weaken release control by mixing development states, skipping required validation, or treating production promotion as an ad hoc administrative task. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (C. Any production change should have explicit stakeholder approval.; D. After deployment, the development team should test and verify functionality in production.). 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: Releasing — release management; branching and hotfixes; production readiness; rollback strategy; seasonal releases; approvals.