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| Section | Weight | Objectives |
|---|---|---|
| System Design | 15% | - Single-org vs multi-org strategy evaluation - Environment and sandbox strategy design - Deployment architecture design - Agile tools and Salesforce DX usage |
| Deploying | 13% | - Production deployment strategy - Deployment automation - Rollback and recovery planning - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages |
| Operating | 8% | - Continuous improvement - Post-deployment monitoring - Support and maintenance processes - Governance enforcement |
| Building | 13% | - Dependency management - Development best practices and standards - Source control and version control implementation - CI/CD pipeline design |
| Testing | 10% | - Performance and regression testing - Automated testing implementation - Test coverage and execution strategy - Testing methodology selection |
| Releasing | 14% | - Release communication and training - Release strategy design - Package types: managed, unmanaged, unlocked - Release scheduling and coordination |
| Planning | 10% | - Organizational readiness analysis - Roles and responsibilities definition - ALM maturity assessment - Risk mitigation strategies |
| Application Lifecycle Management | 17% | - Development methodologies evaluation - Release management frameworks - Governance strategy design - Development models: Change Set, Org Development, Package Development |
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NEW QUESTION # 27
Universal Containers is having trouble deploying metadata from SIT to UAT. UAT is complaining that it does not recognize some new Salesforce metadata types to be deployed. The deployment from Dev to SIT worked perfectly.
What could be the problem?
Answer: B
Explanation:
The correct selection is C. SIT is most likely on a preview release while UAT remains on the current release.
Metadata introduced or changed in the newer platform version can be accepted by SIT but rejected by the older UAT API because that metadata type or property is not yet recognized there. 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 (C. SIT is on a preview release and UAT is not.). 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 # 28
Universal Containers has many backlog items and competing stakeholders who cannot agree on priority.
What should an architect do to overcome this?
Answer: D
NEW QUESTION # 29
Universal Containers has dozens of independent user acceptance and functional teams that need to test independently in isolation, and on current production data that was modified within the last week. Which Sandbox type should a Technical Architect recommend?
Answer: A
NEW QUESTION # 30
Universal Containers (UC) is considering implementing a minor change policy for a series of low-risk user stories that are commonly received by the UC admins. The policy would allow admins to make these changes directly in production. UC does not have continuous integration/continuous delivery (CI/CD) in place.
Which three best practices should the architect suggest UC follow for their new change policy? Choose 3 answers
Answer: C,D,E
Explanation:
The correct selection is A, C, D. Direct low-risk production changes still require governance: they should be documented, tested, and incorporated into the downstream development baseline. Production edits do not automatically update lower environments, so failing to synchronize them creates configuration drift and risks later deployments overwriting the change. From an operating perspective, production stability depends on disciplined incident handling, environment synchronization, backup/recovery, observability, and control of configuration drift. Emergency actions can be faster than normal releases, but they still require traceability and must be reconciled back into the managed development baseline. The alternatives either leave production and lower environments inconsistent, increase operational risk, or treat a recurring governance problem as a one-time manual activity. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Minor changes should be thoroughly documented and follow some type of standard cadence.; C. Downstream environments will not be automatically updated when production changes.; D. All changes should still be tested.). 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: Operating - production governance; environment drift; incident response; backup
/recovery; post-refresh controls; hotfix synchronization.
NEW QUESTION # 31
Which two ways should a developer working on a data loading integration that operates between different Salesforce environments insert multiple related records in one call or transaction?
Choose 2 answers
Answer: B,D
NEW QUESTION # 32
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