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| Section | Weight | Objectives |
|---|---|---|
| Building | 13% | - CI/CD pipeline design - Dependency management - Source control and version control implementation - Development best practices and standards |
| Deploying | 13% | - Deployment automation - Deployment tools comparison: Change Sets, Metadata API, Salesforce CLI, Packages - Rollback and recovery planning - Production deployment strategy |
| Releasing | 14% | - Package types: managed, unmanaged, unlocked - Release strategy design - Release scheduling and coordination - Release communication and training |
| Application Lifecycle Management | 17% | - Development models: Change Set, Org Development, Package Development - Governance strategy design - Development methodologies evaluation - Release management frameworks |
| Testing | 10% | - Automated testing implementation - Testing methodology selection - Performance and regression testing - Test coverage and execution strategy |
| Operating | 8% | - Post-deployment monitoring - Support and maintenance processes - Governance enforcement - Continuous improvement |
| Planning | 10% | - Risk mitigation strategies - Roles and responsibilities definition - ALM maturity assessment - Organizational readiness analysis |
| System Design | 15% | - Single-org vs multi-org strategy evaluation - Agile tools and Salesforce DX usage - Deployment architecture design - Environment and sandbox strategy design |
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NEW QUESTION # 34
Universal Containers (UC) development team is developing a managed package for AppExchange. The product team has finished developing and testing, and wants to submit a Security Review. However, the product manager has concerns on the few errors from the Checkmarx code scanner.
How should the product team proceed?
Answer: A
Explanation:
The correct selection is A. Checkmarx findings must be reviewed individually. Real vulnerabilities should be remediated; legitimate false positives should be documented with a technical justification and included in the AppExchange security-review submission rather than ignored or mechanically changed simply to produce a zero-warning report. 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 option (A. Review the Checkmarx errors. If there is no need to fix, mark them as false positive and attach explanation, then submit.). 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 # 35
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 # 36
Salesforce has three major releases a year.
Which type of change introduced by a release can cause automated browser tests to need updating?
Answer: B
Explanation:
The correct selection is C. Automated browser tests depend on the rendered Document Object Model.
Salesforce can change internal Lightning markup between seasonal releases even when the business behavior is unchanged, so brittle selectors and DOM assumptions can require test maintenance. 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 alternatives do not provide equivalent evidence: they either validate only a narrow implementation detail or depend on conditions outside the test ' s control. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (C. DOM changes). 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 # 37
Universal Containers (UC) is midway through a large enterprise project. UC is working in an agile model, and currently has four-week iterations, with a branching strategy supporting this approach. UC operates in a strict regulatory environment, and has dedicated teams for security, QA, and release management. The system is live with users, and a serious production issue is identified at the start of a sprint, which is narrowed down to a bug in some Apex code.
Which three approaches should an architect recommend to address this bug? Choose 3 answers
Answer: B,D,E
Explanation:
The correct selection is A, B, E. A serious production bug in a regulated environment requires data-impact analysis, a dedicated hotfix branch, and explicit stakeholder approval. Waiting for the normal release or editing Apex directly in production would bypass the controlled emergency-change process and create unacceptable traceability risk. 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 options (A.
Investigate potential data impacts.; B. Fix the bug in a hotfix branch.; E. Seek stakeholder approval for the hotfix.). 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 # 38
A team of developers at Universal Containers has developed Apex Triggers and Apex Classes in a sandbox.
The team has also written test classes to unit test these triggers and classes. When executed in the sandbox, all the test methods pass and all the classes meet the minimum code coverage requirement. But when they tried deploying these components to production, a few of these test methods failed.
What should an architect recommend?
Answer: B
Explanation:
The correct selection is D. Apex unit tests should be deterministic and independent of existing org data.
Creating required records inside the test while avoiding SeeAllData=true prevents environment-specific failures and makes the same test reliable in sandboxes, CI, packaging, and production validation. 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. Do not use SeeAllData and generate data in the test methods.). 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 # 39
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