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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Releasing | 14% | - Release communication and training - Release scheduling and coordination - Package types: managed, unmanaged, unlocked - Release strategy design |
| Topic 2: Application Lifecycle Management | 17% | - Development models: Change Set, Org Development, Package Development - Development methodologies evaluation - Governance strategy design - Release management frameworks |
| Topic 3: Testing | 10% | - Automated testing implementation - Testing methodology selection - Test coverage and execution strategy - Performance and regression testing |
| Topic 4: System Design | 15% | - Agile tools and Salesforce DX usage - Deployment architecture design - Single-org vs multi-org strategy evaluation - Environment and sandbox strategy design |
| Topic 5: Deploying | 13% | - Production deployment strategy - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Deployment automation - Rollback and recovery planning |
| Topic 6: Planning | 10% | - Organizational readiness analysis - ALM maturity assessment - Risk mitigation strategies - Roles and responsibilities definition |
| Topic 7: Building | 13% | - CI/CD pipeline design - Development best practices and standards - Source control and version control implementation - Dependency management |
| Topic 8: Operating | 8% | - Continuous improvement - Governance enforcement - Support and maintenance processes - Post-deployment monitoring |
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NEW QUESTION # 54
What are the three considerations that the architect should recommend for Change Set deployment? Choose 3 answers
Answer: B,D,E
Explanation:
The correct selection is A, D, E. Change sets are not designed as a fully automatable CI/CD artifact, successful deployments do not have a native rollback operation, and a change set is not a reusable package for arbitrary production orgs. They can, however, be validated and are intended for related orgs connected to the same production lineage. 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 options (A. Change Sets cannot be automated.; D. Change Sets cannot be rolled back.; E. Change Sets cannot be reused between Production Salesforce orgs.). 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 # 55
Universal Containers would like to conduct performance testing on its new major release.
What three things should the architect consider when discussing performance testing? Choose 3 answers
Answer: A,C,D
Explanation:
The correct selection is A, B, C. Performance testing must be coordinated with Salesforce in advance, run in an appropriate sandbox, and may be monitored to protect the multitenant service. Large-scale testing should not be executed against production or launched without the required notice and test-plan coordination. 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 alternatives do not provide equivalent evidence: they either validate only a narrow implementation detail or depend on conditions outside the test ' s control. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Salesforce must be informed at least 7 days before starting performance tests.; B. Salesforce will monitor test activity to ensure there are no issues with Salesforce Services.; C. Performance tests must be run in a 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: Testing - Apex testing; test-data isolation; mocks; regression testing; performance
/load testing; sandbox test strategy.
NEW QUESTION # 56
Universal Containers (UC) development team is developing a managed package for AppExchange. The product team has finished developing and testing, and wants to submit a Security Review. However, the product manager has concerns on the few errors from the Checkmarx code scanner.
How should the product team proceed?
Answer: C
NEW QUESTION # 57
Which are two recommended methods of creating test data in Salesforce? Choose 2 answers
Answer: B,D
Explanation:
The correct selection is C, D. Reliable tests should be self-contained and independent of live external systems.
Mock endpoints or Salesforce callout mocks provide deterministic responses for integration logic, while CSV static resources and Test.loadData() provide reusable test records without depending on middleware or external availability. 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 options (C. Host a mock endpoint to produce sample information from an endpoint.; D. Load a CSV as a static resource and reference it in a test class.). 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.
NEW QUESTION # 58
An architect has been working on a large project for the past 6 months. This project must be live by the end of the current month.
Which two planning techniques should the architect use to ensure all metadata changes deploy smoothly and on time? Choose 2 answers
Answer: A,C
Explanation:
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.
NEW QUESTION # 59
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