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| Section | Weight | Objectives |
|---|---|---|
| Testing | 10% | - Performance and regression testing - Test coverage and execution strategy - Testing methodology selection - Automated testing implementation |
| Deploying | 13% | - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Deployment automation - Rollback and recovery planning - Production deployment strategy |
| System Design | 15% | - Agile tools and Salesforce DX usage - Environment and sandbox strategy design - Deployment architecture design - Single-org vs multi-org strategy evaluation |
| Planning | 10% | - Risk mitigation strategies - Organizational readiness analysis - ALM maturity assessment - Roles and responsibilities definition |
| Building | 13% | - Dependency management - CI/CD pipeline design - Development best practices and standards - Source control and version control implementation |
| Operating | 8% | - Support and maintenance processes - Governance enforcement - Post-deployment monitoring - Continuous improvement |
| Application Lifecycle Management | 17% | - Governance strategy design - Development methodologies evaluation - Development models: Change Set, Org Development, Package Development - Release management frameworks |
| Releasing | 14% | - Release communication and training - Release strategy design - Release scheduling and coordination - Package types: managed, unmanaged, unlocked |
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NEW QUESTION # 58
Universal Containers CUC) 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: A
NEW QUESTION # 59
Universal Containers has automated its deployment process using Metadata API. However, they found that Metadata API doesn't support all the components yet. What should be done to address this?
Answer: A
NEW QUESTION # 60
Universal Containers CUC) has multi-cloud architecture in a single org. The Sales Cloud dev team is working in a Dev Pro sandbox (DevProl) of delivering a release In three months. The business requirements from Service Cloud warrant a quicker release in four weeks, but need part of the Sales Cloud work that is completed in DevProl. The decision of using a separate Dev Pro sandbox (DevPro2) is still pending. The DevProl was upgraded to preview for next salesforce major release two weeks ago.
What should an Architect recommend?
Answer: D
NEW QUESTION # 61
Northern Trail Outfitters (NTO) has well-defined release management processes for both large and small projects. NTO's development team created a workflow and a trigger for the changes in its opportunity renewal process.
What should the architect recommend for release planning of these changes?
Answer: A
NEW QUESTION # 62
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
Explanation:
The correct selection is B, D. Consistent coding standards reduce the cognitive effort needed to understand code across multiple teams, while version control provides change history for root-cause analysis. Together they improve maintainability and defect traceability without creating a centralized review bottleneck. 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.
Define and follow code standards.; D. Version control system to identify who is generating the bugs.).
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 # 63
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