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| Section | Weight | Objectives |
|---|---|---|
| System Design | 15% | - Environment strategy
|
| Planning | 10% | - Release planning
|
| Application Lifecycle Management | 17% | - Version control strategies
|
| Releasing | 14% | - Release management
|
| Operating | 8% | - Monitoring and governance
|
| Building | 13% | - Development practices
|
| Deploying | 13% | - Deployment tools and automation
|
| Testing | 10% | - Test automation
|
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NEW QUESTION # 34
Universal Containers (UC) is embarked on a large Salesforce transformation journey, UC ' s DevOps team raised a question about tracking Salesforce metadata throughout the development lifecycle across sandboxes all the way to production.
As the deployment architect of the project, what should be the recommendation to track which version of each feature in different environments?
Answer: D
Explanation:
The correct selection is C. The requirement is feature-to-environment traceability, not merely a command for moving metadata. A specialized Salesforce DevOps platform can associate work items, commits, deployment history, approvals, and target environments so teams can identify exactly which feature version is installed where. 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 (C. Use an AppExchange or third-party tool that is specialized in Salesforce deployment.).
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 # 35
As a part of technical debt cleanup project, a large list of metadata components has been identified by the business analysts at Universal Containers for removal from the Salesforce org. How should an Architect manage these deletions across sandbox environments and production with minimal impact on other work streams?
Answer: A
NEW QUESTION # 36
Universal Containers (UC) maintains its Salesforce org using its internal tools and processes for managing its application lifecycle. The UC team has been facing challenges on their development processes in their recent two releases. The architect has recommended the UC team to follow the org development model to address the challenges faced.
Which two characteristics of the org development model will help UC address the challenges? Choose 2 answers
Answer: C,D
Explanation:
The correct selection is A, D. The org development model enables automated deployment from source and automated change tracking through source-driven workflows. It does not automatically fix defects or make sandbox provisioning a defining built-in characteristic. From an ALM perspective, the controlling principles are a clear source of truth, repeatable change tracking, controlled promotion, testable release artifacts, and traceability from requirement through production. Mature teams separate the lifecycle from any single tool so the process remains consistent even when the deployment mechanism changes. The rejected alternatives either describe a specific tool rather than a lifecycle capability or omit the source-control and traceability needed for repeatable enterprise delivery. For this scenario, the decisive point is therefore the platform behavior represented by the selected options (A. Automated deployment; D. Automated change tracking).
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: Application Lifecycle Management - ALM stages; source control; change tracking; package/org development models; CI/CD; release traceability.
NEW QUESTION # 37
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: C
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 # 38
Universal Containers (UC) have developed a managed package targeted for AppExchange. The product includes some Apex code to customize and create layouts. UC is in the testing phase of the package, so it ' s not certified yet. During testing on the target org, the Apex code for the layouts fails.
Why are the Apex classes not able to access the metadata of the target org during testing?
Answer: A
Explanation:
The correct selection is A. The failure results from managed-package Apex being non-certified during testing.
The subscriber org must explicitly allow metadata deployment from a non-certified Apex package version; this is an org-level security preference, not a custom metadata setting and not a reason to replace the solution with Tooling API. 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 other choices either rely on manual reconstruction, use a deployment mechanism designed for a different scope, or fail to preserve dependencies and repeatability across target environments. For this scenario, the decisive point is therefore the platform behavior represented by the selected option (A. Apex Settings to allow the access to metadata is not switched on.). 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 # 39
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