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Salesforce Salesforce-Platform-Developer-II Exam Sample Questions


Question # 1

A company wants to run different logic based on an Opportunity's record type. Which code segment handles this request and follows best practices?
A. Option A
B. Option B
C. Option C
D. Option D


C. Option C
✅ Explanation:

The requirement is to execute different logic based on the Opportunity's record type (e.g., 'New' or 'Renewal') within a trigger. Best practices in Salesforce Apex include:
➝ Minimizing SOQL queries inside loops to avoid governor limits.
➝ Using efficient data retrieval methods.
➝ Ensuring maintainable and scalable code.

Option A:
➝ Queries RecordType for 'New' and 'Renewal' separately with LIMIT 1.
➝ Uses these IDs in an if-else block within a trigger loop to apply logic.
➝ Issues:
➥ Performs two SOQL queries outside the loop, which is acceptable but could be optimized by querying all relevant record types once.
➥ Relies on hardcoded DeveloperNames ('New', 'Renewal'), which is fine but less flexible if names change.

➝ Pros: Avoids SOQL inside the loop, follows bulkification principles.

Option B:
➝ Queries all RecordType records for the Opportunity object into a List without filtering by DeveloperName.
➝ Issues:
➥ Does not assign or use the recTypes list, making the query ineffective for the logic.
➥ Lacks a mechanism to map record types to IDs or names for use in the trigger.
➝ Pros: Queries all record types in one go, which is efficient if used properly.
➝ Cons: Incomplete implementation; the logic cannot work without further processing of recTypes.

Option C:
➝ Uses Schema to get record type info by DeveloperName for 'New' and 'Renewal' without a SOQL query.
➝ Applies logic based on RecordTypeId in the trigger loop.
➝ Pros:
➥ Avoids SOQL entirely, which is highly efficient and avoids governor limits.
➥ Uses Schema methods, a best practice for retrieving metadata.

➝ Cons: Assumes the DeveloperNames exist; if they don’t, it will cause a runtime error unless handled.
Option D:
➝ Checks the RecordType.Name directly in the trigger loop.
➝ Issues:
➥ Accessing RecordType.Name requires the record type to be queried or related, but no query is performed.
➥ This will result in a NullPointerException because RecordType is not populated without a SOQL or relationship query.
➝ Cons: Violates bulkification (SOQL would be needed inside the loop if fixed) and is prone to errors.

Why Option C is Best:
It leverages Schema.DescribeSObjectResult and getRecordTypeInfosByDeveloperName() to retrieve record type IDs without SOQL, which is the most efficient approach.
Avoids governor limits by not using database queries inside the trigger loop.
Follows Salesforce best practices by using metadata API calls for configuration data.
The code is maintainable and scalable, as it doesn’t rely on hardcoded queries that might need adjustment if record types change.

Implementation Note:
The code assumes the DeveloperNames 'New' and 'Renewal' exist. In a production environment, you should add error handling (e.g., check if the map contains the key) to handle cases where record types are missing.

Reference:
Salesforce Apex Developer Guide: Schema Methods
Trailhead Module: Apex Triggers




Question # 2

Just prior to a new deployment the Salesforce administrator, who configured a new order fulfillment process feature in a developer sandbox, suddenly left the company.
Ag part of the UAT cycle, the users had fully tested all of the changes in the sandbox and signed off on them; making the Order fulfillment feature ready for its go-live in the production environment.
Unfortunately, although a Change Set was started, it was not completed by the former administrator.
A developer is brought in to finish the deployment.
What should the developer do to identify the configuration changes that need to be moved into production?
A. In Salesforce setup, look at the last modified date for every object to determine which should be added to the Change Set.
B. Use the Metadata API and a supported development IDE to push all of the configuration from the sandbox into production to ensure no changes are lost.
C. Leverage the Setup Audit Trail to review the changes made by the departed Administrator and identify which changes should be added to the Change Set.
D. Set up Continuous Integration and a Git repository to automatically merge all changes from the sandbox metadata with the production metadata.


C. Leverage the Setup Audit Trail to review the changes made by the departed Administrator and identify which changes should be added to the Change Set.
Explanation:

The Setup Audit Trail provides a detailed log of recent configuration changes made in a Salesforce org, including the date, time, and user who made each change. Since the admin had started the Change Set but didn't complete it, the audit trail can help the developer see exactly which configuration items the admin modified — such as fields, validation rules, page layouts, flows, etc. — even without having access to the admin’s notes or guidance. This makes it the most reliable and targeted method to identify and migrate only the UAT-approved changes without risking unrelated or outdated metadata being moved into production.

❌ Why the other options are incorrect:

A. Look at the last modified date for every object
This is manual, error-prone, and unreliable. Many changes (like changes to page layouts, record types, or process builder flows) won't clearly show up just by checking modified dates on objects. It’s also inefficient and doesn't guarantee accuracy — a single field change might not be easily traceable.

B. Use the Metadata API and IDE to push all configuration into production
This is risky and unnecessary. It pushes everything, not just what was tested and approved. That could overwrite settings or introduce unwanted changes, especially from unrelated development work in the sandbox. The goal is to move only reviewed and UAT-approved features — not the entire sandbox metadata.

D. Set up Continuous Integration and Git
While CI/CD is a good long-term strategy, it’s not appropriate as a quick fix in this scenario. Setting up CI and source control takes time and planning — and won't help immediately identify what changes the previous admin made unless version control was already in place (which it wasn’t, per the scenario). Also, CI pipelines don't retroactively track what a user changed.

🔗 References:
🧩 Setup Audit Trail – Salesforce Help
🧩 Change Sets – Salesforce Help
🧩 Best Practices for Change Management – Salesforce Docs




Question # 3

What is a benefit of JavaScript remoting over Visualforce Remote Objects?
A. Does not require any JavaScript code
B. Supports complex server-side application logic
C. Does not require any Apex code
D. Allows for specified re-render targets


B. Supports complex server-side application logic
Explanation:

To determine a benefit of JavaScript remoting over Visualforce Remote Objects, we need to compare their functionalities and use cases within the Salesforce Visualforce framework. Both are mechanisms for client-side interaction with server-side data, but they differ in implementation and capabilities. Let’s evaluate the options based on their accuracy and relevance.

Key Considerations:
JavaScript Remoting: Allows an Apex method (annotated with @RemoteAction) to be called from JavaScript on a Visualforce page, enabling custom server-side logic and flexible data handling. It requires both Apex and JavaScript code.
Visualforce Remote Objects: Provides a JavaScript API to perform basic CRUD operations (create, read, update, delete) on Salesforce objects directly from a Visualforce page, abstracting the need for Apex controllers in simple cases. It relies on predefined mappings and JavaScript.

Evaluation of Options:

A. Does not require any JavaScript code
JavaScript remoting requires JavaScript code to invoke the @RemoteAction method (e.g., Visualforce.remoting.Manager.invokeAction). Visualforce Remote Objects also require JavaScript to define and execute queries (e.g., remoteObjectModel). Neither eliminates JavaScript, so this is not a benefit of JavaScript remoting over Remote Objects and is incorrect.

B. Supports complex server-side application logic
JavaScript remoting allows calling custom Apex methods with complex logic (e.g., SOQL queries, calculations, or business rules), offering full control over server-side processing. Visualforce Remote Objects are limited to basic CRUD operations with simple WHERE clauses, lacking support for complex logic. This flexibility is a significant benefit of JavaScript remoting, making this option correct.

C. Does not require any Apex code
JavaScript remoting requires an Apex method with the @RemoteAction annotation, necessitating Apex code. Visualforce Remote Objects allow CRUD operations without writing Apex, relying on JavaScript and object mappings. This is a benefit of Remote Objects, not JavaScript remoting, so this option is incorrect.

D. Allows for specified re-render targets
JavaScript remoting does not inherently support re-rendering specific Visualforce page sections (e.g., via rerender attributes), requiring manual DOM updates in JavaScript. Visualforce Remote Objects also lack built-in re-render targets, as both rely on JavaScript to update the UI. This is not a distinguishing benefit, making this option incorrect.

Correct Answer: B. Supports complex server-side application logic
Reason: A key benefit of JavaScript remoting over Visualforce Remote Objects is its ability to support complex server-side application logic through custom Apex methods. This allows developers to implement sophisticated business rules, advanced queries, or integrations, which Remote Objects cannot handle due to their simplicity. This aligns with the Salesforce Platform Developer II exam’s “User Interface” domain, emphasizing Visualforce integration options.

Reference:
Salesforce Visualforce Developer Guide - JavaScript Remoting and Remote Objects.

Additional Notes:
JavaScript remoting is ideal for scenarios requiring custom logic (e.g., aggregating data from multiple objects), while Remote Objects suit simple CRUD needs. To use remoting, define an @RemoteAction method in an Apex controller and call it with Visualforce.remoting.Manager.invokeAction, handling the response in JavaScript. This flexibility outweighs Remote Objects’ ease of use for complex use cases.




Question # 4

Refer to the Lightning component below:

The Lightning Component allows users to click a button to save their changes and then redirects them to a different page. Currently when the user hits the Save button, the records are getting saved, but they are not redirected. Which three techniques can a developer use to debug the JavaScript?
(Choose 3 answers)
A. Use console.log () messages in the JavaScript.
B. Use the browser's dev tools to debug the JavaScript.
C. Enable Debug Mode for Lightning components for the user.
D. Use Developer Console to view checkpoints.
E. Use Developer Console to view the debug log.


A. Use console.log () messages in the JavaScript.
B. Use the browser's dev tools to debug the JavaScript.
C. Enable Debug Mode for Lightning components for the user.
Explanation:

To debug the issue where a Lightning Component (Aura or LWC) saves records successfully but fails to redirect users to a different page after clicking the Save button, the developer needs to identify why the redirection logic in the JavaScript is not executing or failing. Since the code snippet is not provided, I’ll assume a typical scenario: the component has a button with an onclick handler that calls a server-side action (e.g., Apex) to save records and then attempts a navigation (e.g., using e.getSource().get("e.force:navigateToURL") in Aura or this[NavigationMixin.Navigate]() in LWC). The debugging techniques should help trace the JavaScript execution flow, identify errors, and verify the navigation step. Let’s evaluate the options based on Salesforce debugging practices.

Key Considerations:
✔ The issue is in the JavaScript, so debugging techniques should focus on client-side execution.
✔ Common causes include unhandled exceptions, incorrect navigation syntax, or asynchronous timing issues (e.g., navigation before the save completes).
✔ Salesforce provides multiple tools for JavaScript debugging in Lightning components.

Evaluation of Options:

A. Use console.log() messages in the JavaScript.
Adding console.log() statements at key points (e.g., before and after the save call, after navigation) allows the developer to trace the execution flow, verify variable values (e.g., URL), and detect where the code stops. This is a standard, lightweight debugging technique for JavaScript in Lightning components, making it an effective choice.

B. Use the browser's dev tools to debug the JavaScript.
The browser’s developer tools (e.g., Chrome DevTools) provide a debugger to set breakpoints, step through JavaScript code, inspect variables, and view console output or network requests. This is ideal for diagnosing runtime errors or navigation failures in Lightning components, as it offers detailed control over client-side execution, making it a strong option.

C. Enable Debug Mode for Lightning components for the user.
Enabling Debug Mode for Lightning components (via User settings or URL parameter ?debug=1) unminifies the JavaScript, making it readable in browser dev tools and providing more detailed error messages. This helps identify syntax errors or framework issues that might prevent redirection, making it a useful technique for debugging.

D. Use Developer Console to view checkpoints.
Checkpoints in the Developer Console allow pausing execution and inspecting variable states in Apex code, but they are not applicable to JavaScript in Lightning components. This technique is irrelevant for client-side debugging, making this option incorrect.

E. Use Developer Console to view the debug log.
Debug logs in the Developer Console capture server-side Apex execution (e.g., DML, exceptions), but they do not include client-side JavaScript details like navigation failures. While useful for verifying the save operation, they won’t help debug the JavaScript redirection issue, making this option incorrect.

Correct Answers: A. Use console.log() messages in the JavaScript, B. Use the browser's dev tools to debug the JavaScript, and C. Enable Debug Mode for Lightning components for the user.

Reason:
✔ A: console.log() provides immediate feedback on the JavaScript flow, helping identify if the navigation code is reached or if an error occurs (e.g., console.log('Navigating to:', url);).
✔ B: Browser dev tools allow setting breakpoints (e.g., in the handleSave method) to step through the code, inspect the navigation call (e.g., navigateToURL), and catch exceptions, offering deep debugging.
✔ C: Debug Mode enhances visibility into JavaScript errors by unminifying the code, making it easier to pinpoint issues like syntax errors or framework misconfigurations affecting redirection.

Inferred Debugging Approach:

Assumed Code (Aura Example):
handleSave: function(component, event, helper) {
var action = component.get("c.saveRecord");
action.setCallback(this, function(response) {
if (response.getState() === "SUCCESS") {
var url = '/lightning/n/MyPage';
var navEvt = $A.get("e.force:navigateToURL");
navEvt.setParams({ url: url });
navEvt.fire(); // Check if this fires
}
});
$A.enqueueAction(action);
}

➟ Add console.log('Save success'); before navEvt.fire() and use dev tools to confirm execution.

Assumed Code (LWC Example):
import { LightningElement, api } from 'lwc';
import { NavigationMixin } from 'lightning/navigation';
export default class MyComponent extends NavigationMixin(LightningElement) {
handleSave() {
saveRecord() // Apex call
.then(() => {
this[NavigationMixin.Navigate]({
type: 'standard__navItemPage',
attributes: { pageName: 'myPage' }
});
});
}
}

➟ Add console.log('Navigating'); in the .then block and use dev tools to step through.

Reference: Salesforce Lightning Component Library - Debugging Lightning Components, Salesforce Help - Enable Debug Mode.

Additional Notes:
Start with console.log() to isolate the issue (e.g., save succeeds but navigation fails). Use dev tools to set breakpoints and inspect the navigation event or promise. Enable Debug Mode via the URL (/one/one.app?debug=1) or user settings to see detailed errors. Check for unhandled exceptions or incorrect navigation parameters (e.g., invalid URL). Test in a sandbox to avoid production impact.




Question # 5

An org records customer order information in a custom object, ordar__c, that has fields for the shipping address. A developer is tasked with adding code to calculate shipping charges on an order, based on a flat percentage rate associated with the region of the shipping address. What should the developer use to store the rates by region, so that when the changes are deployed to production no additional steps are needed for the calculation to work?
A. Custom hierarchy setting
B. Custom metadata type
C. Custom list setting
D. Custom object


B. Custom metadata type
Explanation:

The most appropriate choice is Custom Metadata Type, because it allows you to store configuration data, like shipping rates by region, in metadata, and it is:

✅ Deployed with change sets, unlocked packages, or metadata API — no post-deployment steps like data entry required.
✅ Accessible in Apex without querying (like CustomMetadataType__mdt.getAll()), which improves performance.
✅ Non-editable by end users in production without permission (unlike Custom Settings), ensuring stability.
✅ Ideal for application configuration values like shipping percentages, tax rates, thresholds, etc.

In this use case:
You’d create a Custom Metadata Type like Shipping_Rate__mdt
It would have fields like Region__c and Rate__c
You could query or access it in Apex to calculate charges

Example Apex usage:
Map rates = Shipping_Rate__mdt.getAll();
Decimal rate = rates.get(order.Region__c).Rate__c;
order.Shipping_Charge__c = order.Amount__c * rate;

This ensures that shipping logic works immediately after deployment, with no manual steps required in the production org.

❌ Incorrect Answers:

A) Custom hierarchy setting
Hierarchy settings are meant for user- or profile-specific configuration — not for general data like region-based shipping rates. They support per-user overrides, which is unnecessary and confusing for a flat shipping percentage by region. Also, their data must be manually created or updated in production after deployment unless you use a script.

C) Custom list setting
Custom list settings are similar to custom objects but are data, not metadata, meaning they require post-deployment data population. You cannot deploy data in list settings via metadata tools alone — you’d need to run a script or manually enter the data in production, violating the requirement.

D) Custom object
Custom objects are used to store business data, not configuration. Like list settings, the data in custom objects must be manually populated or scripted post-deployment, which contradicts the requirement that the calculation works immediately after deployment. This introduces operational overhead and risk.

🔗 Reference:
Salesforce – Custom Metadata Types Overview
Trailhead – Configure Your App Using Custom Metadata Types



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