Plat-Arch-202 Examcollection Questions Answers & Plat-Arch-202 Mock Exam

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Salesforce Plat-Arch-202 Exam Syllabus Topics:

SectionWeightObjectives
System Design (15%)15%- Given a scenario, determine the appropriate roles, responsibilities, and process
- Describe the features and capabilities of the sandbox environment
Testing (19%)19%- Describe the considerations of Apex testing
- Describe the testing frameworks
- Describe the strategies for code coverage
Building (17%)17%- Describe the testing strategies and methodologies
- Describe the capabilities of the packaging
- Describe the considerations of the version control systems
Deploying (15%)15%- Describe the approaches and considerations of the continuous integration
- Describe the capabilities and considerations of the deployment tools
Operating (13%)13%- Describe the monitoring and troubleshooting of production environments
- Describe the approaches to manage changes in a production environment
Application Lifecycle Management (8%)8%- Describe the stages of the application lifecycle
- Describe the capabilities and considerations of the application lifecycle
Planning (13%)13%- Given a scenario, describe the appropriate governance strategies
- Given a scenario, determine the appropriate environment
- Describe the risk and considerations of changing production environments

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Plat-Arch-202 Mock Exam | Valid Plat-Arch-202 Test Answers

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Salesforce Certified Platform Development Lifecycle and Deployment Architect Sample Questions (Q28-Q33):

NEW QUESTION # 28
Universal Containers (UC) deploys major releases on a monthly schedule. In recent months, the team has noticed the deployment time has increased two-fold from 2 hours to 4 hours .The team wants to get back to reasonable deployment times. Which three issues could be affecting their deployment times? Choose 3 ans

Answer: B,D,E


NEW QUESTION # 29
Universal Containers is having trouble aligning releases between major, minor, and Salesforce seasonal releases.
What should an architect recommend?

Answer: B


NEW QUESTION # 30
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,B

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 # 31
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 # 32
What are two limitations an architect should consider when designing a strategy for managing technical reference data, with multiple related objects? Choose 2 answers

Answer: A,D

Explanation:
The correct selection is C, D. Technical reference-data migrations are constrained by relationship shape.
Circular references cannot be represented cleanly as one rooted hierarchy, and nested object trees have a finite supported depth, so complex reference structures often need staged loads and follow-up relationship updates.
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 rejected alternatives do not meet the deployment requirement because they introduce drift, ignore target-org compatibility, or substitute a convenience tool for a reproducible release artifact. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (C. Circular relationships; D. Depth of nested relationships). 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 # 33
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