PDII Exam Dumps - Salesforce Developers Questions and Answers

Compreh17ensive and Detailed 11850 to 250 words of Explanation:

To make an Apex method compatible with a Lightning Web Component's @wire service and ensure it follows security best practices, three specific modifications are required:

@AuraEnabled(Cacheable=true) (Option C): The @wire service in LWC requires the Apex method to be marked as cacheable. This enables client-side caching via the Lightning Data Service, which significantly improves UI performance by reducing redundant server calls. Note that Cacheable=true is mandatory for @wire but optional for imperative calls.

with sharing (Option B): In Apex, classes do not enforce sharing rules by default. To ensure the user only sees Leads they have access to according to the organization-wide defaults and sharing model, the class must explicitly use the with sharing keyword.

WITH SECURITY_ENFORCED (Option A): While with sharing handles record-level access, it does not automatically enforce field-level security (FLS) or object-level security (CRUD). Adding the WITH SECURITY_ENFORCED clause to the SOQL query ensures that if a user does not have permission to view the AnnualRevenue field, the query will throw an exception rather than exposing protected data.

Options D and E are incorrect because without sharing bypasses security, and a simple @AuraEnabled without cacheable=true is insufficient for the LWC @wire service.

In a private sharing model, access is restricted to the owner and those above them in the hierarchy. When a specific user is identified in a lookup field (like Event_Reviewer__c), standard sharing rules cannot dynamically grant access to that specific individual because sharing rules only target Roles, Public Groups, or Territories.1

The solution is Apex Managed Sharing (Option A). By using an after insert (and likely after update) trigger, the developer can pro2grammatically create records in the object's "Share" table (e.g., Convention_Attendee__Share). Each share record specifies the UserOrGroupId (from the lookup field), the AccessLevel ('Edit' for Read/Write), and a RowCause (Apex Sharing Reason).

The "After" trigger is required because the ID of the Convention_Attendee__c record must exist before a Share record can be associated with it. "Before" triggers (Option B) are used for field updates on the record itself, not for creating related sharing records. Options C and D are not viable because they cannot dynamically reference a User ID stored within a field on the record itself. Apex Managed Sharing provides the most granular and automated way to handle this dynamic security requirement.

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The provided code uses hard-coded strings for the URL and authe8ntication headers, which is a security risk and makes maintenance difficult. To add flexibility and security, Salesforce provides Named Credentials (Option D). A Named Credential acts as a single definition that encapsulates both the endpoint URL and the required authentication (Basic, OAuth, etc.) in a single Setup record.

By using the callout: protocol in the setEndpoint method (Option B), the developer instructs the Apex runtime to look up the configuration stored in the Named Credential named endPoint_NC. This approach provides several key benefits:

Security: Credentials like passwords are encrypted and stored safely in the platform's metadata, not in the code.

Simplified Code: The logic for building the Authorization header and base64 encoding (as seen in the original snippet) is handled automatically by the platform.

Maintainability: If the endpoint URL or the password changes, an administrator can update the Named Credential record via the UI without requiring any code deployment.

Custom Labels (Option A and C) can store URLs, but they cannot securely handle authentication logic or headers. Therefore, the combination of a Named Credential and the callout: syntax is the optimal platform-native solution for flexible and secure integrations.

The requirement is to allow users to select which fields they want to filter by at runtime. In standard (static) SOQL, the fields in the WHERE clause must be defined at compile time (e.g., WHERE Name = :val). Because the fields themselves are not known until the user interacts with the page, the developer cannot write a static query.

Dynamic SOQL is the required feature. It allows the developer to construct the SOQL query string as a text string at runtime, incorporating the specific field names selected by the user, and then execute that string using Database.query(queryString). This provides the flexibility to build queries on the fly based on user input. Metadata API is for configuration changes, Streaming API is for push notifications, and Variable binding (:var) is used in both static and dynamic SOQL but does not solve the issue of changing the field names themselves.

To adhere to Salesforce Apex best practices, especially when dealing with triggers, code must be "bulkified." This means the code should efficiently handle hundreds of records at once without hitting platform governor limits, such as the limit of 100 SOQL queries per transaction.

Option D is the most efficient segment because it follows the standard Set-Query-Map pattern.

Set: It first iterates through all Leads in the trigger to collect unique zip codes into a Set.

Query: It performs a single SOQL query outside of any loops to fetch only the relevant Region__c records. This avoids the "SOQL in a loop" anti-pattern found in Options A and C, which would fail if the trigger processed more than 100 records.

Map: It stores the query results in a Map. Maps are highly efficient for data retrieval because they offer $O(1)$ search complexity.

Final Loop: In the final loop, the code uses zipMap.get() to find the region.

In contrast, Option B is bulkified regarding queries but uses a nested loop to match data. If you have 200 leads and 200 regions, the nested loop would perform 40,000 iterations ($200 \times 200$), which could lead to "Maximum CPU time exceeded" errors for large datasets. Option D eliminates this unnecessary CPU overhead by using the Map to look up the zip code directly, making it the most scalable and performant solution.

The current Apex controller implementation contains a type mismatch between the data being sent from the JavaScript controller and the data type expected by the Apex method. In the JavaScript file, this.firstName is initialized as the string 'world'. When the serverEcho method is invoked, it passes this string value under the key firstName.

In the Apex Controller, the parameter is incorrectly defined as an sObject. Because the JavaScript is passing a simple string, the Apex method signature must be updated to accept a String (Option B). Consequently, line 06—which attempts to use the .get() method (a method specific to sObjects)—is no longer valid and should be removed. Instead, the developer should directly use the firstName variable in the return statement (Option C).

Option A is incorrect because @AuraEnabled is a method-level annotation, not a class-level one. Option D is incorrect because public static is the sufficient and standard access modifier for Apex methods exposed to Lightning components; global is only necessary if the component resides in a different namespace (such as in a managed package). By aligning the data types between the two layers, the serialization process can correctly map the JavaScript string to the Apex string variable.

For AppExchange development, Custom Metadata Types (Option C) are the superior choice for application configurations. Unlike Custom Settings or Custom Objects, Custom Metadata records are treated as metadata, not data.

This provides three critical advantages for an AppExchange developer:

Packaging and Deployment: You can package the metadata records (the "best practice settings") as part of your managed package. When a customer installs your app, these settings are automatically populated in their org.

Environment Consistency: Custom Metadata can be deployed across sandboxes and production using standard deployment tools (Change Sets, CLI), whereas Custom Settings require manual data migration or data loading in every new environment.

Unit Testing: Apex tests can access Custom Metadata without the need for (SeeAllData=true). This ensures that your package's logic remains testable and robust across all subscriber orgs regardless of their specific data setup.

Custom Labels (Option D) are intended for translated text, not complex logic triggers. Custom Objects (Option B) consume data storage and cannot be easily packaged with default records. Custom Metadata allows the app to be "configurable" by the subscriber while providing a "standard" baseline upon installation.

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In Apex, "bulkification" is the practice of ensuring code can handle multiple records efficiently without hitting governor limits. Snippet A demonstrates the correct bulkified approach for this requirement. It first iterates through the opportunityList to collect all unique AccountId values into a Set. Then, it performs a single SOQL query to retrieve all relevant Accounts and their child Contacts using a subquery (Inner Join). This ensures that the code only consumes one SOQL query regardless of how many opportunities are in the input list.

Snippet B is syntactically incorrect and will fail to compile. In Apex, you cannot use dot-notation (like opportunityList.AccountId) on a List collection to retrieve a set of IDs from its elements. To access the AccountId of records within a list, you must iterate through the list or use a map. Even if corrected to use a proper ID collection, Snippet A is often preferred when you need the relationship context between the Account and its Contacts. Most importantly, Snippet A correctly identifies the need to extract IDs into a separate collection before querying, which is a fundamental requirement for writing scalable Apex. It avoids the "Query in a loop" anti-pattern and adheres to the platform's execution model.

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This scenario presents two distinct requirements: processing a large volume of data (50,000 records) and running the process at a specific time (once a day after business hours).

Database.Batchable (Option B): Processing 50,000 records in a single synchronous transaction will exceed Apex Governor Limits (specifically the CPU time limit or the heap size limit). Batch Apex allows the system to process these records in smaller chunks (batches), ensuring that the calculation completes without hitting limits.

Schedulable (Option C): To ensure the job runs "once a day after business hours," the Schedulable interface is required. The developer allows the class to be scheduled via the Apex Scheduler or the UI.

The standard pattern for this use case is to create a class that implements Schedulable, and inside its execute method, instantiate and execute the Batch class (Database.executeBatch). This combines precise timing with bulk processing capabilities.

Managing "Trigger Kill Switches" is a critical requirement for data migration. The most "extendable" and platform-standard approach is using a Hierarchy Custom Setting (Option C).

A hierarchy setting allows for different values at the Organization, Profile, and User levels. A developer can create a checkbox field called Disable_Opportunity_Trigger__c. In the trigger, the code would check: if (MySettings__c.getInstance().Disable_Opportunity_Trigger__c) return;. During a mass data load, the administrator can enable this checkbox specifically for the integration user or the specific administrator performing the load. Because it is a hierarchy, it doesn't affect standard users.

This approach is superior to hard-coding Profile IDs (Option A) because IDs change between environments. It is also better than List Custom Settings (Option D) because it provides the automatic "fallback" logic (User > Profile > Org) that makes management much simpler. Validation rules (Option B) would cause the trigger to fail with an exception, which could stop the entire data load transaction, whereas the Custom Setting approach allows the trigger to "gracefully" skip its logic and allow the Opportunity to be saved without creating a Contract.