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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: System Design | 15% | - Environment and sandbox strategy design - Single-org vs multi-org strategy evaluation - Deployment architecture design - Agile tools and Salesforce DX usage |
| Topic 2: Building | 13% | - CI/CD pipeline design - Dependency management - Development best practices and standards - Source control and version control implementation |
| Topic 3: Testing | 10% | - Testing methodology selection - Test coverage and execution strategy - Automated testing implementation - Performance and regression testing |
| Topic 4: Application Lifecycle Management | 17% | - Development models: Change Set, Org Development, Package Development - Governance strategy design - Development methodologies evaluation - Release management frameworks |
| Topic 5: Operating | 8% | - Post-deployment monitoring - Governance enforcement - Continuous improvement - Support and maintenance processes |
| Topic 6: Deploying | 13% | - Deployment automation - Rollback and recovery planning - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Production deployment strategy |
| Topic 7: Releasing | 14% | - Release scheduling and coordination - Release strategy design - Package types: managed, unmanaged, unlocked - Release communication and training |
| Topic 8: Planning | 10% | - Risk mitigation strategies - Roles and responsibilities definition - Organizational readiness analysis - ALM maturity assessment |
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NEW QUESTION # 18
Universal Containers has many development teams deploying into a single org. The business is very seasonal and approaching its busiest season. The business owner comes to you asking for your advice about its next major production release.
What best practice should an architect recommend?
Answer: D
Explanation:
The correct selection is C. Major production releases should be avoided during peak commercial periods because unexpected regressions, performance degradation, or integration failures have the greatest business impact then. A release calendar should define blackout windows while retaining a separate hotfix path for genuine emergencies. From a release perspective, approved functionality must be isolated from unfinished work and promoted through a predictable, auditable path. Release calendars, validation, stakeholder approval, rollback planning, and branch discipline reduce the risk that a technically correct change becomes an operational failure during production promotion. The other options do not create a safe production path because they ignore timing, approval, rollback, or branch synchronization requirements. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (C. Avoid releasing near peak business periods.). 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: Releasing - release management; branching and hotfixes; production readiness; rollback strategy; seasonal releases; approvals.
NEW QUESTION # 19
Universal Containers have just acquired Planetary storage. Both companies use salesforce.com to manage their sales activities. The two companies have many customers in common and the company plans to merge the two sales organizations, but the products and sales processes between the two original companies will remain different and distinct. What factor should the company consider in merging the two Salesforce.com orgs into a single org?
Answer: A
NEW QUESTION # 20
Universal Containers (UC) has multiple teams working on different projects. Multiple projects will be deployed to many production orgs. During code reviews, the architect finds inconsistently named variables and lack of best practices.
What should an architect recommend to improve consistency?
Answer: A
Explanation:
The correct selection is D. Static code analysis can automatically and consistently enforce naming, maintainability, security, and other coding standards across teams and repositories. It scales better than relying only on human review and can be integrated as a CI quality gate before code is merged. 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 remaining options are weaker because they address symptoms after code is written instead of improving the build process through automation, modularity, and explicit development standards. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (D. Use static code analysis to enforce coding standards.). 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 # 21
Universal Containers has multiple project teams integrating Salesforce to various systems Integration Architects are complaining about the various integration patterns used by the teams and lack a common understanding of the integration landscape. What should architect recommended to address the challenges?
Answer: C
NEW QUESTION # 22
Universal Containers (UC) currently uses the org development model and utilizes the Salesforce CLI as the deployment tool. After the feature release artifact file has been tested in a lower sandbox, it is being deployed to the full sandbox for performance testing and production deployment readiness check.
Since quick deployment options are not being used, what is the correct way to deploy the artifact to the full sandbox?
Answer: A
Explanation:
The correct selection is B. A Metadata API-formatted release artifact should be validated and deployed consistently using the Metadata API deployment mechanism. Mixing source-format and mdapi commands introduces needless conversion risk, and because quick deploy is excluded, the normal deployment must run after successful validation. 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. Authorize to the Full sandbox org; Validate with sfdx:mdapi:deploy On successful validation, deploy with sfdx:mdapi:deploy). 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 # 23
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