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| Section | Weight | Objectives |
|---|---|---|
| Building | 13% | - Dependency management - Development best practices and standards - CI/CD pipeline design - Source control and version control implementation |
| Operating | 8% | - Post-deployment monitoring - Continuous improvement - Support and maintenance processes - Governance enforcement |
| Releasing | 14% | - Package types: managed, unmanaged, unlocked - Release scheduling and coordination - Release communication and training - Release strategy design |
| Application Lifecycle Management | 17% | - Development models: Change Set, Org Development, Package Development - Governance strategy design - Release management frameworks - Development methodologies evaluation |
| System Design | 15% | - Agile tools and Salesforce DX usage - Single-org vs multi-org strategy evaluation - Environment and sandbox strategy design - Deployment architecture design |
| Testing | 10% | - Performance and regression testing - Automated testing implementation - Testing methodology selection - Test coverage and execution strategy |
| Deploying | 13% | - Production deployment strategy - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Rollback and recovery planning - Deployment automation |
| Planning | 10% | - Roles and responsibilities definition - Risk mitigation strategies - Organizational readiness analysis - ALM maturity assessment |
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NEW QUESTION # 99
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: B
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 # 100
Universal Containers has just initiated a project to implement a custom container tracking application with a large development team. The project manager is concerned that the large number of developers in a single developer pro sandbox could lead to challenges with code being overwritten. Which two methods should be used to mitigate this risk? Choose 2 answers
Answer: B,C
NEW QUESTION # 101
Universal Containers has a full sandbox that will be used to analyze and fix bugs found in production.
Which two items should the architect recommend to ensure that bugs found in production are more easily analyzed in this full sandbox?
Choose 2 answers
Answer: A,B
NEW QUESTION # 102
Cloud Kicks is considering using an automated testing tool to help manage deployments between environments.
When should the architect recommend the use of an automated testing tool?
Answer: D
Explanation:
The correct selection is D. Automated tests should run frequently in development and at merge points. Daily execution catches drift and regressions early, while merge-triggered CI verifies that independently valid changes still work once integrated into the shared codebase. 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 option (D.
Automated tests should be run daily in all Developer Orgs, and when branches are merged.). 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 # 103
Universal Containers (UC) has been using Salesforce Sales Cloud for many years following a highly customized, single-org strategy with great success so far.
What two reasons can justify a change to a multi-org strategy?
Choose 2 answers
Answer: A,D
NEW QUESTION # 104
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