PDII Exam Dumps - Salesforce Certified Platform Developer II ( Plat-Dev-301 )

The lightning-record-form is a powerful, high-level component that simplifies data entry and display. However, its performance is heavily influenced by the layout-type attribute. When layout-type="Full" is used, the component fetches and renders every single field defined on the object's "Full" page layout in the Salesforce metadata. In this case, the Account object has 275 fields. Fetching and rendering such a large volume of metadata and data causes a significant performance lag, even if the user only cares about three specific fields.

To improve performance, the developer should switch from a layout-based approach to a field-based approach. By removing the layout-type attribute and adding the fields attribute (Option A), the developer can pass an array of only the specific field API names required (e.g., ['Name', 'CustomField1__c', 'CustomField2__c']). This drastically reduces the amount of data requested from the Lightning Data Service (LDS) and minimizes the DOM elements the browser needs to render. Option C is incorrect because "Partial" is not a valid value for layout-type; the only supported values are "Full" and "Compact". Option B only affects the visual spacing of the fields and does not reduce the data load. Option A is the direct and most effective way to optimize component responsiveness by limiting the data scope.

In Visualforce, the <apex:actionStatus> component is specifically designed to provide user feedback during asynchronous (AJAX) operations. When an <apex:commandButton> or <apex:actionSupport> initiates a request to the server, there is a delay while the server processes the logic and returns the updated data. To prevent users from clicking the button multiple times or to simply inform them that the system is working, developers use <apex:actionStatus>.

This tag allows you to define two facets: startText (or a start facet) and stopText (or a stop facet). By linking the status attribute of the <apex:commandButton> to the id of the <apex:actionStatus>, the page will automatically toggle between these states. For example, while the button is processing, the status can display "Processing..." or a loading spinner, and once the action is complete, it can return to being hidden or display a "Completed" message.

Option B is used for timed, repeated requests. Option C is for displaying validation or system errors. Option D is used to add AJAX support to other components (like a picklist) but doesn't manage the display state of the request itself. Therefore, <apex:actionStatus> is the standard tool for managing UI state during the request-response lifecycle in Visualforce.

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This query requires a specific understanding of how Salesforce handles old records. Salesforce "archives" Tasks that are older than 365 days to maintain performance. These archived records are not returned by standard SOQL queries.

To include archived records in a query, the developer must use the ALL ROWS keywords at the end of the query. However, ALL ROWS also returns records that are in the Recycle Bin (deleted records). To satisfy the requirement of "including archived" but "excluding deleted," the developer simply needs to rely on the fact that standard WHERE clause filters apply to the results of ALL ROWS.

Option B is the most accurate. In SOQL, isDeleted=false is implicit unless you are specifically looking for deleted records. The crucial part is the ALL ROWS keyword which brings the archived tasks into scope.

Options A and D are incorrect because isArchived=true would only return the archived tasks and exclude those that are not yet archived. Option C is redundant because isDeleted=false is the default behavior. The syntax => in the prompt options is also technically a typo for >=. Option B represents the standard way to query across the "active" and "archived" boundary while ignoring the Recycle Bin.

The requirement is to perform a callout when a record is inserted. Because Salesforce prohibits synchronous callouts after DML operations in the same transaction, this must be handled asynchronously.

Queueable Apex (Option C) is the optimal choice for this integration. When an Account is inserted, a trigger captures the ID and enqueues a Queueable job. Queueable is superior to Future methods (Option D) because it supports complex data types (not just primitives), allows for job chaining, and provides a Job ID that can be used for monitoring via AsyncApexJob.

Before-Save Flows (Option A) cannot directly perform callouts, and while they can trigger asynchronous paths, the programmatic control offered by a Trigger-to-Queueable pattern is more robust for complex third-party integrations. Batch Apex (Option B) is designed for bulk processing of existing records and is "overkill" for a real-time, record-by-record trigger requirement. By using a Trigger with Queueable, the developer ensures the address validation happens nearly in real-time without blocking the user's initial save transaction or hitting concurrent request limits.

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Source-driven development shifts th21e "source of truth" from the Salesforce Org to a Version Control System (like Git). To b22ridge the gap between local source code and the Salesforce platform, Salesforce CLI with Salesforce DX (Option C) is the required mechanism.

Salesforce DX (Developer Experience) introduced a source-centric metadata format that is more granular and easier to track in version control than the traditional Metadata API. The Salesforce CLI provides the command-line tools necessary to automate the deployment process, create scratch orgs for isolated testing, and perform "source tracking" to identify exactly which files have changed. This is the foundation of modern CI/CD (Continuous Integration/Continuous Delivery) pipelines in the Salesforce ecosystem.

In contrast, Change Sets (Option B) are org-centric and manual, making them incompatible with automated version control. Data Loader (Option A) is for record data, not metadata. Unmanaged Packages (Option D) are used for distribution but do not support the iterative, source-controlled deployment workflow required for professional project management.

Platform Events follow an event-driven architecture that allows for seamless integration between internal Salesforce processes and external applications. Once an event is defined, it must be "published" to the event bus to be seen by subscribers.

External Applications (Option C) publish platform events by using the Salesforce REST, SOAP, or Pub/Sub APIs. Essentially, an external app "inserts" a record into the event object (e.g., Order_Event__e). Since platform events are treated as a special type of Salesforce object, the standard API create call acts as the publishing mechanism.

Option A is incorrect because the Streaming API is used for subscribing to events, not for publishing them. Option B is incorrect because Outbound Messages are a legacy SOAP-based notification tool and do not publish platform events. Option D is incorrect because Entitlement Processes are service-level management tools and are not part of the event-driven architecture.

For internal apps, platform events can also be published via Apex (using EventBus.publish()) or declaratively using Flow Builder. The key takeaway for external integration is that publishing is handled via standard Salesforce APIs, making it accessible to any system capable of making an HTTP request.

In Salesforce Apex triggers, choosing the correct context (before vs. after) is critical for performance and data integrity. When the business requirement involves creating or modifying related records (records other than the one that fired the trigger), an after trigger is the platform-standard choice.

An after update trigger (Option D) is ideal here because it ensures that the Case record has been successfully validated and saved to the database (obtaining a valid timestamp and state) before the child Engineering_Review__c record is generated. Furthermore, an after trigger provides access to the read-only Trigger.new and Trigger.old maps, which contain the final field values after system validation rules and flows have run. Performing DML operations to insert a new object within a before trigger is technically possible but discouraged, as it can lead to issues if the primary record fails a subsequent system validation, potentially leaving orphaned data or causing complicated rollback scenarios.

Options B and C are incorrect because "upsert" is not a valid trigger event; the valid events are insert, update, delete, and undelete. Option A is incorrect because before triggers should primarily be used for updating fields on the same record that initiated the trigger to avoid redundant DML calls. Therefore, an after update trigger provides the most stable and scalable context for cross-object record creation.

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Source-driven development shifts the "source of truth" from the Salesforce org to a version control system (like Git). Salesforce DX (Developer Experience) was specifically designed to support this paradigm by introducing the Salesforce CLI (Command Line Interface). The Salesforce CLI is the primary engine for modern CI/CD pipelines because it allows for the scripted creation of scratch orgs, automated testing, and the deployment of source code to any environment (sandboxes, scratch orgs, or production) using simple command-line instructions3.

Unlike traditional tools, the Salesforce CLI supports the "Source" format, which is more granular and easier to manage in version control than the traditional Metadata format used by the Ant Migration Tool. Change Sets (Option B) are manual, UI-driven tools that cannot be automated in a CI/CD pipeline and are strictly org-to-org. Salesforce Extensions for VS Code (Option C) provide a powerful IDE interface for developers, but the extensions themselves rely on the underlying Salesforce CLI to perform deployments; they are not the automation tool used by the pipeline itself. The Ant Migration Tool (Option D) is an older technology that uses the Metadata API and is generally considered legacy compared to the more flexible and powerful Salesforce DX commands. Therefore, Salesforce CLI with Salesforce DX is the optimal choice for a robust, automated source-driven deployment strategy.

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