Pass the Salesforce Developers PDII Questions and answers with Dumpstech

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To properly test a Visualforce Controller Extension in Apex, the developer must replicate the instantiation process used by the Lightning Platform at runtime. A4 controller extension is a class whose constructor is specifically defined to accept a single parameter of the type ApexPages.StandardController. 5The standard controller acts as the bridge b6etween the custom extension logic and the underlying Salesforce record (in this case, an Account).

In the provided test method, a record acet has been inserted into the database. To create the extension object, the developer must first instantiate the StandardController by passing the acet SObject record into its constructor. Once the standard controller instance (e.g., sc) is created, it is then passed into the constructor of the AccountControllerExt class. Option B is the correct implementation of this two-step pattern. Option C is incorrect because the StandardController constructor requires a full SObject record, not just an ID string. Options A and D are incorrect because extension classes do not support constructors that take an SObject or an ID directly; they specifically require the StandardController object to provide the necessary context for standard actions and fields. Following the correct pattern ensures the test accurately simulates the page execution context.

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The primary challenge in this scenario is the high volume of child records (up to 100,000 Catalog Items) associated with a single parent Catalog. In Salesforce, synchronous transactions like Apex triggers are subject to strict governor limits, most notably the limit of 10,000 DML rows per transaction. If a developer were to use an "after update" trigger on the Catalog object (Option A) to update 100,000 child items, the transaction would immediately fail with a LimitException as soon as it exceeded that threshold.23

To handle such a massive update succ4essfully, the developer must use an asynchronous approach, specifically Batch Apex. By implementing Database.Batchable, the platf5orm can process the 100,000 records in smaller chunks (batches), each within its own set of governor limits. Option D is the correct implementation because the Batch class should query the Catalog Item (the child object) where the CurrencyIsoCode does not match the parent Catalog. This targets only the records that need modification. While Option C suggests batching the parent Catalog, it is more efficient to query the child items directly to ensure every record needing an update is processed across the multiple batches of the execution. This ensures data consistency across the entire 100,000 record set without risking transaction failures.

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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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Testing asynchronous Apex (such as @future methods, Batchable, or Queueable classes) requires a specific mechanism to ensure that background tasks complete before the test verifies the results. In a standard execution, asynchronous jobs are queued and run whenever system resources are available, which means a test's assertion statements might execute before the background job has even started. To address this, Salesforce provides the Test.startTest() and Test.stopTest() methods.78

When t9he code that initiates an asynchronous process is placed between Test.startTest() and Test.stopTest(), the platform behaves di10fferently. All asynchronous calls made within this block are collected and held by the system. As soon as the 11code reaches Test.stopTest(), the test execution pauses, and the system forces all queued asynchronous jobs to ru12n immediately and synchronously within the same thread. Once Test.stopTest() finishes, the execution continues to the next line. By placing assertions immediately after Test.stopTest(), the developer is guaranteed that the asynchronous logic has finished its work. This is the only supported way to reliably test the side effects of background processes. Other options, like using System.runAs() or seeAllData=true, do not affect the timing of asynchronous execution and will likely result in failed assertions.

The lightning-layout and lightning-layout-item components utilize a 12-column grid system to create responsive layouts. In this system, "12" represents the full width of the container (one column), while "6" represents half the width (two columns side-by-side). To manage responsiveness across different screen sizes, Salesforce provides specific attributes that target different breakpoints.

The size attribute defines the default width for the smallest devices (mobile). By setting size="12", the item takes up the full width of the screen on mobile devices, resulting in a single-column stack. The medium-device-size attribute targets tablets and small desktop screens. By setting medium-device-size="6", the layout item is instructed to occupy only half of the grid (6 out of 12 columns) once the screen reaches the "medium" breakpoint. When two adjacent items both have this setting, they will sit side-by-side, creating a two-column layout.

Option C is the correct answer because medium-device-size is the standard attribute used to transition from a mobile view to a tablet/desktop view in the Lightning Design System (SLDS) grid logic. Using size="12" ensures the "one column" requirement for mobile, and medium-device-size="6" satisfies the "two columns" requirement for larger screens.

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In the Aura Component Framework, the $Locale global value provider (Opt13ion C) is specifically designed to handle globalization and localization. It provides direct access to the current user's locale preferences, including date and time formats, number grouping symbols, and currency symbols. Instead of manually querying the User object or creating custom settings, a developer can use expressions like {!$Locale.currencySymbol} or {!$Locale.dateFormat} directly in the component's markup or controller.

Using $Locale ensures that the application remains dynamic; if an employee moves from a US office to a European office and updates their Salesforce profile locale, the application will automatically reflect the new formatting rules without any code changes. This is more efficient than using $User (Option A), which would require additional logic to map locale strings to specific formats. $Label (Option D) is used for translated text strings, not formatting patterns. By leveraging the native $Locale provider, the developer ensures that the commission and benefit data are presented in a familiar, accurate context for every employee worldwide.

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The optimal architectural ap17proach for complex logic on a single object is to use a single trigger per object that delegates responsibilities to a helper class. This requirement involves two distinct types of logic: field manipulation (uppercase names) and cross-record updates (ensuring only one primary contact).

In Salesforce, Before triggers are ideal for updating fields on the record that initiated the trigger, as the changes are saved to the database without an additional DML statement. Therefore, converting the LastName to uppercase should occur in a before update and before insert context. Conversely, the "Is Primary" logic requires updating other records (de-selecting other contacts on the same account). This must happen in an After trigger context to ensure the primary record has been successfully updated and to avoid recursion or conflicts with the initial save.

Option D is the best practice because it follows the "One Trigger Per Object" design pattern. By using a single trigger with multiple context variables (isBefore, isAfter, isUpdate), the developer can cleanly route the "Last Name" logic to a before-save helper and the "Is Primary" cross-record update logic to an after-save helper. This centralized control prevents multiple triggers from firing in an unpredictable order and simplifies maintenance and debugging.

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The "SOQL query not selective enough" error occurs when a query on an object with a large volume of records (typically over 200,000) does not use a filtered index to narrow down the result set effectively. In Sales1force,2 the query optimizer must be able to use an index to scan a small enough percentage of the total records to maintain performance. When a query filters on a non-indexed field, the system is forced to perform a full table scan, which triggers this exception to prevent performance degradation.

To resolve this, the developer must ensure that the field used in the WHERE clause is indexed. Marking a custom field as an "External ID" or "Unique" automatically creates a custom index on that field. By marking ERP_Number__c as an External ID, the platform generates a underlying database index, allowing the query optimizer to quickly locate matching records without scanning the entire table. While the LIKE operator with a trailing wildcard (e.g., 'Text%') can utilize an index, it will only be considered "selective" if the filter narrow the results below the platform's selectivity thresholds (typically 10% of the first million records). Making the field an External ID is the standard programmatic solution to provide the necessary indexing for selectivity. Option A is incorrect because moving a non-selective query to an asynchronous process does not change the fact that it is non-selective; it will still fail.

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The provided trigger contains two major violations of Salesforce Apex best practices.

SOQL inside a Loop (Option D): The query for Region__c is located inside the for loop. If 200 accounts are updated at once, the trigger will attempt to run 200 queries, immediately hitting the governor limit of 100 SOQL queries per t35ransaction. To fix this, the developer must "bulkify" the trigger by collecting all the Region_Name__c values into a Set, performing a single query outside the loop, and storing the results in a Map for quick access.

Redundant DML in a Before Trigger (Option A): This is a before insert and before update trigger. In the "before" context, changes made to Trigger.new records are automatically committed to the database when the trigger finishes. Adding an explicit update accountList; is not only unnecessary but will cause the trigger to re-fire (recursion), leading to performance issues and potential "Maximum stack depth" errors.

By removing the redundant DML and moving the query outside the loop, the trigger becomes efficient, scalable, and follows the platform's execution model correctly.

Comprehensive and Detailed 150 to 250 words 13of Explanation:14

In a Private sharing model, access is strictly limited to owners and those grant15ed access through specific sharing mechanisms. Here, the requirement is to grant access based on a User lookup field residing on a child record (Reviewer__c) to the parent record (Defect__c).

Criteria-based sharing rules (B) are ineffective here because they can only evaluate fields on the record being shared (Defect__c) and cannot "look down" at values in related child records to determine access. "View All" (A) is too broad as it would grant the user access to every defect in the system, violating the private security model.

Apex managed sharing (D) is the correct choice. Because the relationship between the assigned reviewer and the defect is dynamic and based on a separate object, a developer can write an Apex trigger on the Reviewer__c object. When a reviewer record is created or updated, the trigger programmatically inserts a record into the Defect__Share table, granting 'Read' access to the User specified in the lookup field. This provides the precision required to ensure that only the designated reviewers can see specific defects, maintaining the integrity of the Private OWD while automating the necessary exceptions.

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