PDII Practice Test Questions

Explanation:

Hierarchy custom settings are the optimal solution because:

Different Processors for Different Donors:

Can store different payment processor settings for individuals vs corporations
Values can be set at different hierarchy levels (organization, profile, user)

Admin Configurable:

System administrators can modify values after deployment
Accessible through Setup without code changes

Efficient Access:

Values are cached and don't count against SOQL limits
Can be accessed in Apex without queries

Data Security:

Protected like configuration data (not visible to regular users)

Explanation:

Validation rules allow you to enforce complex business logic on multiple fields and are processed during the save operation. When a user attempts to save a Lead record, configured validation rules evaluate the fields and, if errors exist, return all relevant error messages simultaneously. This means that rather than showing just one error at a time, the form can display multiple error messages in one go. Additionally, validation rules require minimal JavaScript intervention since the error handling is performed declaratively within Salesforce rather than in client-side code.

Using options such as a try/catch/finally block or an external JavaScript library would unnecessarily complicate the solution, while an Apex trigger isn’t designed to serve as a real-time validation mechanism on the user interface. Validation rules are the most efficient and maintainable approach to ensure comprehensive client feedback directly by the platform.

Explanation:

Salesforce provides a built-in event called BatchApexErrorEvent, which is automatically published when an unhandled exception occurs in a Batch Apex job. Instead of manually publishing an event, you can configure the external system to subscribe to this event via:

Platform Events (using CometD or Streaming API)
Change Data Capture (CDC)
Outbound Messaging

Why This Works Best:

No Custom Code Needed – Salesforce automatically publishes BatchApexErrorEvent when a batch fails.
Real-Time Notifications – External systems can subscribe and react immediately.
Governor Limit Friendly – No additional DML or Apex transactions required.

Reference: BatchApexErrorEvent Documentation

Explanation:

Universal Containers is using a Hierarchy Custom Setting, which allows organization-level defaults and user-level overrides.

To retrieve a value from a Hierarchy Custom Setting, use:

Your_Custom_Setting__c.getInstance()

If there is a user-level setting, it returns that.
If there is no user-level override, it falls back to the org-level default.
This is exactly what the scenario requires — use the user value if available, otherwise use the org-level default.

Why the other options are incorrect:

A. getValue() is used with List Custom Settings, not Hierarchy Custom Settings.
B. getValues(UserInfo.getUserId()) would return the user-specific setting but does not fallback to org-level defaults if the user doesn't have a value — which violates the requirement.
D. User_Prefs__c.Show_Help__c; is invalid syntax and doesn’t retrieve any setting.

Explanation:

Using the SOAP API with the Partner WSDL is the optimal choice when building an integration that must work across multiple Salesforce orgs with potentially varying object definitions. The Partner WSDL offers a loosely coupled, dynamic interface that doesn't require hard-coded, strongly-typed object definitions. This flexibility is particularly valuable when integrating with several orgs, ensuring that the Java application can create, retrieve, and update common object records without being restricted by the specific metadata of any single org.

In contrast, the Enterprise WSDL is strongly typed and tailored to a specific Salesforce org's schema, which would make it inflexible for an application targeting multiple orgs with differences in their data models. Similarly, using an Apex REST Web Service or Metadata API would not be as optimal for direct CRUD operations across various orgs since those options either require custom endpoints per org or are intended for managing metadata rather than everyday data records.

Explanation:

The key requirement here is to track large volumes of historical product usage data — potentially hundreds of millions of records over time. This is exactly what Big Objects are designed for.

Why Big Objects are the best fit:

They are optimized for storing and managing massive volumes of data.
Can scale to billions of records.
Support custom indexing for efficient querying.
Ideal for compliance, audit trails, and historical tracking across objects.
They don't count against standard data storage limits.

In this case, since the data is collected from multiple objects, you can define a custom Big Object with fields referencing the necessary source object IDs, timestamps, usage metrics, etc.

Explanation:

Why These Components?

lightning-record-edit-form
Provides a structured way to create/edit records (like Cases) with built-in validation and error handling.
Supports custom layouts (non-linear field placement, as required).
Automatically handles field-level security and required fields.

lightning-input-field

Dynamically renders the correct input type (picklist, text, etc.) based on the Case field’s metadata.
Works seamlessly with lightning-record-edit-form to bind field values to the record.
Allows custom styling/placement (can be positioned over a product image).

Explanation:

In Lightning Web Components (LWC), Apex methods can be called either imperatively or via wire service. The wire service is reactive and supports automatic updates and caching, but has limitations.

A. Calling a method that makes a web service callout
Imperative Apex calls are required when calling methods that perform callouts.
The wire service cannot be used with callout logic, because it must be cacheable and non-mutating.
Therefore, callout-based Apex methods must be invoked imperatively using @wire() or standard import + method() pattern.

B. Calling a method that is not annotated with @AuraEnabled(cacheable=true)
The wire adapter only works with Apex methods annotated with @AuraEnabled(cacheable=true).
If the method modifies data or is not cacheable, it must be called imperatively.

Explanation:

The Salesforce CLI with Salesforce DX can be used to execute and verify the deployment of metadata to production. It allows the developer to run specified tests and ensure that the deployment meets all required conditions for success.

Explanation:

SOQL For Loops process records in smaller, manageable batches of 200, reducing memory usage and avoiding governor limits like "Apex heap size too large." Unlike other options that load all records into memory, SOQL For Loops handle large datasets efficiently by querying incrementally.