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| Section | Weight | Objectives |
|---|---|---|
| Application Lifecycle Management | 17% | - Development methodologies evaluation - Release management frameworks - Development models: Change Set, Org Development, Package Development - Governance strategy design |
| Deploying | 13% | - Deployment automation - Rollback and recovery planning - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Production deployment strategy |
| Planning | 10% | - ALM maturity assessment - Roles and responsibilities definition - Organizational readiness analysis - Risk mitigation strategies |
| Testing | 10% | - Automated testing implementation - Test coverage and execution strategy - Performance and regression testing - Testing methodology selection |
| System Design | 15% | - Single-org vs multi-org strategy evaluation - Deployment architecture design - Agile tools and Salesforce DX usage - Environment and sandbox strategy design |
| Releasing | 14% | - Release communication and training - Package types: managed, unmanaged, unlocked - Release scheduling and coordination - Release strategy design |
| Building | 13% | - Development best practices and standards - Source control and version control implementation - Dependency management - CI/CD pipeline design |
| Operating | 8% | - Governance enforcement - Continuous improvement - Support and maintenance processes - Post-deployment monitoring |
>> Plat-Arch-202 Valid Test Topics <<
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NEW QUESTION # 83
Universal Containers has just initiated a project involving a large distributed development and testing team. The development team members need access to a tool to manage requirements and the testing team needs access to a tool to manage defects. Additionally, stakeholders are requesting ad -hoc status reports. What tool should an Architect recommend to support the project?
Answer: B
NEW QUESTION # 84
Universal Containers is reviewing its environment strategy. They have identified a need for a new hotfix environment to resolve any urgent production issues.
Which two sandbox types would be appropriate to use as the hotfix environment? Choose 2 answers
Answer: C,D
Explanation:
The correct selection is C, D. Developer Pro and Full sandboxes are appropriate hotfix environments because they can provide a production-aligned metadata baseline, with Full offering the highest data fidelity and Developer Pro offering faster refresh and development flexibility. The environment must remain isolated from unrelated release work. 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 (C.
Full sandbox; D. Developer Pro sandbox). 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.
NEW QUESTION # 85
Universal Containers (UC) is embarked on a large Salesforce transformation journey, UC ' s DevOps team raised a question about tracking Salesforce metadata throughout the development lifecycle across sandboxes all the way to production.
As the deployment architect of the project, what should be the recommendation to track which version of each feature in different environments?
Answer: C
Explanation:
The correct selection is C. The requirement is feature-to-environment traceability, not merely a command for moving metadata. A specialized Salesforce DevOps platform can associate work items, commits, deployment history, approvals, and target environments so teams can identify exactly which feature version is installed where. 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 alternatives are less reliable because they do not provide the same controlled handling of metadata, data relationships, validation, or environment-specific dependencies. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (C. Use an AppExchange or third-party tool that is specialized in Salesforce deployment.).
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.
NEW QUESTION # 86
The opportunityService and opportunityServiceTest classes are in package A but are used only in package B.
Both second-generation packages have the same namespace. Therefore, they should be moved to package B for better organization and control.
What should the architect recommend for this process?
Answer: C
Explanation:
The correct selection is C. When Apex classes logically belong to package B, source ownership should be moved to package B and new package versions created. Second-generation packaging treats versions as deployable states, so component ownership changes must be reflected through properly built and tested versions rather than duplicate class names. 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 (C. Move the classes of package A to package B and create new package versions.). 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.
NEW QUESTION # 87
The release will be deployed over a weekend, one week after Salesforce updates the production environment (e.g., from Winter to Spring). UC has found that a full sandbox refresh can take several days. What should the architect suggest as an optimal deployment plan?
Answer: C
NEW QUESTION # 88
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