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| Section | Weight | Objectives |
|---|---|---|
| Operating | 8% | - Continuous improvement - Support and maintenance processes - Governance enforcement - Post-deployment monitoring |
| Testing | 10% | - Testing methodology selection - Performance and regression testing - Automated testing implementation - Test coverage and execution strategy |
| Deploying | 13% | - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Deployment automation - Production deployment strategy - Rollback and recovery planning |
| Application Lifecycle Management | 17% | - Development models: Change Set, Org Development, Package Development - Governance strategy design - Release management frameworks - Development methodologies evaluation |
| Releasing | 14% | - Release strategy design - Release communication and training - Package types: managed, unmanaged, unlocked - Release scheduling and coordination |
| System Design | 15% | - Deployment architecture design - Environment and sandbox strategy design - Single-org vs multi-org strategy evaluation - Agile tools and Salesforce DX usage |
| Building | 13% | - CI/CD pipeline design - Dependency management - Development best practices and standards - Source control and version control implementation |
| Planning | 10% | - Organizational readiness analysis - ALM maturity assessment - Risk mitigation strategies - Roles and responsibilities definition |
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NEW QUESTION # 115
Universal Containers (UC) is an enterprise financial company that operates in EMEA, AMER, and APAC.
Because of regulatory requirements, UC has a separate Salesforce org for each region. Each org has its own customizations that fit for the region needs, but there are also standard processes that apply to all region ' s requirements.
As the deployment architect, what should be considered for the multi-org deployment strategy?
Answer: D
Explanation:
The correct selection is B. A package development model provides versioned, repeatable artifacts that can be installed across independent regional orgs while keeping common global functionality distinct from regional extensions. Change sets and unmanaged packages do not provide the same reusable, source-controlled enterprise release model. 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 (B. Deploy metadata to production orgs using package development model.). 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 # 116
Universal Containers (UC) had added a Service team to the Salesforce Platform. The Service team would like to have a few dozen of the service centers entered into the system as technical reference data. The service centers are made searchable in many different web forms and rather independent from all other business entities. In the past, they had to manually add any new service centers in each sandbox in the code migration path, they would like to eliminate the manual work if it is possible.
What is an optimal way to accomplish this requirement?
Answer: C
Explanation:
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.
NEW QUESTION # 117
Which are two key benefits of fully integrating an agile issue tracker with software testing and continuous integration tools? Choose 2 answers?
Answer: A,B
NEW QUESTION # 118
Universal Containers (UC) had added a Service team to the Salesforce Platform. The Service team would like to have a few dozen of the service centers entered into the system as technical reference dat a. The service centers are made searchable in many different web forms and rather independent from all other business entities. In the past, they had to manually add any new service centers in each sandbox in the code migration path, they would like to eliminate the manual work if it is possible.
What is an optimal way to accomplish this requirement?
Answer: C
NEW QUESTION # 119
Universal Containers has five development teams. The performance of the teams has been good, but the number of bugs has been increasing. After each sprint, they need more time to understand the code and make changes.
What are two ways to improve the performance?
Choose 2 answers
Answer: C,D
NEW QUESTION # 120
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