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

For application configurations that control behavior and styling across different environments, Custom Metadata Types (Option A) are the industry-standard choice. The primary advantage of Custom Metadata over Custom Settings or Custom Objects is tha1t the2 records themselves are treated as metadata. This means they can be deployed using Change Sets, Salesforce CLI, or packages. When a developer moves code from a Sandbox to Production, the associated configuration records are included in the deployment, ensuring that the Lightning Web Component behaves identically in both environments without manual data setup.

Furthermore, Custom Metadata is highly "testable." In Apex unit tests, you can query Custom Metadata records without needing the (SeeAllData=true) annotation. If your component's Apex controller logic depends on these variables, the tests will remain robust and environment-independent. Custom Settings (Option C) and Custom Objects (Option B) store records as data, which cannot be deployed via Change Sets and require manual entry or data loading in every new sandbox or production org, increasing the risk of configuration errors. Custom Metadata provides the most "extendable" and deployable way to manage component-level constants and behavioral flags.

Loading "thousands" of records at once into a Visualforce page causes performance issues primarily due to the heavy DOM processing required to render thousands of table rows and the large View State generated.

The most effective way to improve performance and user experience in this scenario is pagination. Instead of rendering all records simultaneously, pagination displays a subset (e.g., 20 records) at a time. Using the StandardSetController (which is implied by "standard Account List controller" in the context of lists) allows for efficient server-side pagination. It queries and retrieves only the records needed for the current page view, drastically reducing the View State size and the DOM elements the browser must render. While JavaScript Remoting (Option D) is fast for data retrieval, pagination is the fundamental pattern required to solve the "render time" issue for large lists.

To query history records for a standard object like Account, the developer must use the correct API name, which is AccountHistory (not Account_History). When filtering for a range of dates, SOQL provides the BETWEEN operator, which makes the query cleaner and more readable. Option C uses both the correct object name and the BETWEEN syntax, making it the most efficient solution.

In SOQL, CreatedDate BETWEEN :initialDate AND :endDate is shorthand for CreatedDate >= :initialDate AND CreatedDate <= :endDate. In the provided code, initialDate is 12 months ago (the older date) and endDate is 6 months ago (the more recent date). Therefore, the range correctly captures records between those two timestamps.

Option A and B use an incorrect object name (Account_History). Option D uses the incorrect comparison operator => (the correct operator is >=). Furthermore, Option C follows the best practice for date range queries in Apex by using bind variables with the standard AccountHistory object, ensuring the "Auditors" profile can retrieve the necessary historical data within the platform's audit and security constraints.

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This is a classic case of trigger recursion caused by the Salesforce Order of Execution. When an Account is updated to "Customer," the following occurs:

The original "Before" and "After" triggers run. The After trigger creates the first Account Plan.

The Record-Triggered Flow executes and updates the "Customer Since" date field.

Because a Flow (or Workflow) performed a field update, Salesforce re-triggers the Apex triggers on the Account object to ensure any logic dependent on that new date field is executed.

During this second pass, the After trigger runs again and, seeing the status is still "Customer," creates a second Account Plan.

To prevent this, developers use a static variable (Option D) in a handler class to act as a "recursion guard." Static variables persist for the duration of the entire transaction. By checking this variable at the start of the trigger, the code can detect that it has already run once and skip the record creation on the second pass. Option B and C describe standard Flow behavior but are not the "fix" for the trigger logic. Option A would cause issues with limits but wouldn't necessarily cause a double-fire unless recursion was involved.

Salesforce enforces a strict architectural boundary regarding database transactions and external communications. When an Apex trigger executes, it is part of a synchronous database transaction. If the platform allowed a synchronous callout (a web service call) directly from a trigger, the database transaction—including all active record locks—would have to remain open while waiting for the external system to respond. This could lead to severe performance degradation and hit the "Concurrent Request" limit.

Consequently, calling a web service from an Apex trigger (Option C) must be handled asynchronously. A developer must hand off the callout logic to an @future(callout=true) method, a Queueable class, or a Platform Event. This allows the trigger to finish its work and commit the database transaction immediately, while the callout runs in its own separate background process with its own set of governor limits.

Option A is incorrect because a standard synchronous query can retrieve up to 50,000 records. Option B is incorrect because System.scheduleBatch is a synchronous call to initiate a process, even if the process itself runs later. Option D is incorrect because record updates can be handled synchronously in an after insert trigger context.

To perform historical auditing and analysis of user behavior—such as tracking the last login time—Salesforce provides Event Monitoring (Option C). This feature captures a wide range of "Event Types," including logins, logouts, URI (page) clicks, and API calls.

These events are stored in EventLogFile objects. Each day, Salesforce generates log files for the previous day's activity. A developer can query these files or use tools like the Salesforce Event Log File Browser to see a comprehensive history of user logins. This is the correct choice when real-time alerts are not necessary and the goal is to analyze patterns over time.

Option A refers to Change Data Capture, which is for tracking record changes, not user sessions. Option B is for the standard Salesforce Calendar. Option D (Developer Log) is used for debugging Apex and system execution in the short term and does not provide a reliable or long-term history of user login events. Event Monitoring provides the high-fidelity audit trail required for compliance and security analysis.

In Salesforce unit testing, the platform provides a mechanism to reset governor limits specifically for the code being tested. The "Too many SOQL queries" error at Line 20 occurs because the SOQL queries consumed during the Data Setup (Lines 4-10) and the Trigger Execution (Line 18) are being counted against the same transaction limit.

The correct solution is to wrap the DML operation (the code that fires the trigger) in Test.startTest() and Test.stopTest() (Option D).

Test.startTest(): When this method is called, the code enters a new execution context with a fresh set of governor limits. The queries used to set up the data in Lines 5 and 7 will no longer count against the limit available for the update on Line 18.

Test.stopTest(): This ensures that any asynchronous processes (like @future or Queueable) spawned by the trigger are forced to complete before the code proceeds to Line 20.

Option B is a "workaround" that reduces the validity of the test, as you should test your code against bulk volumes. Option A is for monitoring but doesn't solve the limit issue. Option C is logically incorrect because placing stopTest after Line 20 would mean the query on Line 20 is still sharing limits with the code it is trying to verify. Placing the block strictly around the operation being tested (Line 18) is the standard best practice.

Debugging client-side JavaScript in Lightning components requires different tools than debugging server-side Apex.

First, using the browser's developer tools (Option A) is the most powerful method. It allows developers to set breakpoints in the controller or helper files, inspect the values of component attributes in real-time, and step through the redirection logic line-by-line. To make this process easier, the developer should Enable Debug Mode (Option E) in Salesforce Setup. By default, Lightning code is "minified" (compressed) to improve performance, making it nearly impossible to read in dev tools. Enabling Debug Mode serves the uncompressed source code to the browser, making the scripts human-readable.

Additionally, inserting console.log() messages (Option C) is a standard technique to output variable states or execution markers to the browser's console. This helps verify if the helper.saveAndRedirect function is being reached and if the redirection parameters are correct.

Options B and D are incorrect because the Developer Console's debug logs and checkpoints are strictly for server-side Apex execution. They do not capture JavaScript errors or the execution flow of the Lightning framework in the browser.