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| Section | Weight | Objectives |
|---|---|---|
| Application Lifecycle Management (8%) | 8% | - Describe the stages of the application lifecycle - Describe the capabilities and considerations of the application lifecycle |
| Testing (19%) | 19% | - Describe the testing frameworks - Describe the strategies for code coverage - Describe the considerations of Apex testing |
| System Design (15%) | 15% | - Describe the features and capabilities of the sandbox environment - Given a scenario, determine the appropriate roles, responsibilities, and process |
| Building (17%) | 17% | - Describe the considerations of the version control systems - Describe the capabilities of the packaging - Describe the testing strategies and methodologies |
| Planning (13%) | 13% | - Given a scenario, determine the appropriate environment - Given a scenario, describe the appropriate governance strategies - Describe the risk and considerations of changing production environments |
| Operating (13%) | 13% | - Describe the monitoring and troubleshooting of production environments - Describe the approaches to manage changes in a production environment |
| Deploying (15%) | 15% | - Describe the approaches and considerations of the continuous integration - Describe the capabilities and considerations of the deployment tools |
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NEW QUESTION # 98
Universal Containers (UC) uses a managed package to install an internal Sales app in five orgs. Within each org there are integrations and local processes with the objects of the managed package. UC wants to use unlocked packages for better integration with CI/CD processes.
What would the Salesforce architect recommend for this migration?
Answer: D
NEW QUESTION # 99
Universal Containers wants to delete the day ' s test data in a partial copy sandbox every night, setting the sandbox back to a fresh state for tomorrows testing. The test data is approximately 1GB.
What is the best strategy the architect should recommend?
Answer: B
Explanation:
The correct selection is B. A scheduled Batch Apex cleanup job can delete the day ' s roughly 1 GB of test records in scalable chunks. A Partial Copy sandbox cannot be refreshed nightly under the normal refresh interval, and manual deletion or nightly sandbox recreation would be inefficient and operationally fragile.
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 (B. Execute a batch job that deletes all records created on the day.). 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 # 100
Cloud Kicks (CK) is launching a new sneaker line during the upcoming holiday season and needs to do a thorough batch data testing before Go-Live. CK is using Salesforce unlimited edition.
What two sandbox types should the architect recommend for batch data testing? Choose 2 answers
Answer: A,D
Explanation:
The correct selection is C, D. Partial Copy and Full sandboxes contain production-derived data and are therefore appropriate for meaningful batch-data validation. Partial Copy provides representative samples, while Full provides the highest-fidelity production dataset and is the standard choice when realistic volume and performance characteristics are required. 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 options (C. Partial Copy sandbox; D. Full sandbox). 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 # 101
Which two options should be considered when making production changes in a highly regulated and audited environment? Choose 2 answers
Answer: C,D
Explanation:
The correct selection is C, D. Regulated production changes require explicit approval and post-deployment verification. Approval establishes accountable authorization before implementation, while controlled production smoke testing and monitoring confirm the deployed release behaves as intended and provide evidence for the audit trail. 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 rejected alternatives weaken release control by mixing development states, skipping required validation, or treating production promotion as an ad hoc administrative task. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (C. Any production change should have explicit stakeholder approval.; D. After deployment, the development team should test and verify functionality in production.). 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 # 102
Universal Containers has discovered a Sev0 defect in production. Tens of thousands of records will be created with incorrect data in minutes, producing significant brand damage as a consequence. The Salesforce administrator has suggested that the defective text field be replaced with a new picklist field directly in production. The page layout will be modified so that the text-field is removed and the new picklist field added.
What should the Salesforce architect advise?
Answer: A
NEW QUESTION # 103
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