Salesforce CRT-450 - Salesforce Certification Preparation for Platform Developer I Certification Examination Exam

In the MVC (Model-View-Controller) pattern used in Lightning Web Components, the controller layer is responsible for handling business logic and communication between the view and the server. In this scenario, the Apex class (B) acts as part of the controller because it contains the server-side logic that performs the complex validations. The JavaScript file (C) also acts as part of the controller because it handles user interactions (such as the Validate button click) and calls the Apex method using wire or imperative Apex. The HTML file (A) represents the view layer, and the XML file (D) is only metadata used for configuration, not part of MVC logic.

A . Unify all three triggers in a single trigger on the Expense c object that includes all events:

Salesforce best practices recommend having only one trigger per object to avoid redundancy and
conflicts.
By combining all the events (before delete, before insert, and before update) into a single trigger, the
developer can manage the logic in an organized and maintainable manner.
This also simplifies debugging and ensures that the trigger logic executes in a predictable order.
C . Create helper classes to execute the appropriate logic when a record is saved:
Using helper classes allows for a clean separation of concerns. The trigger becomes a dispatcher that
delegates logic to dedicated classes.
For example, you can create methods like applyDefaultsToExpense(), validateExpenseUpdate(), and
deleteExpense() in a helper class and invoke them from the trigger.
This improves reusability, readability, and testability of the code.
Why not the other options?
B . Unify the before insert and before update triggers and use Flow for the delete action:
While Flow is a powerful tool, it is not ideal for deleting records or replacing Apex trigger
functionality, especially when triggers already exist for other events.
D . Maintain all three triggers on the Expense c object but move the Apex logic out of the trigger
definition:
Maintaining multiple triggers on the same object can lead to conflicts and execution order issues,
even if the logic is moved to helper classes.
Reference:
Trigger Best Practices
Trigger Design Patterns

A . Unify all three triggers in a single trigger on the Expense c object that includes all events:

Salesforce best practices recommend having only one trigger per object to avoid redundancy and
conflicts.
By combining all the events (before delete, before insert, and before update) into a single trigger, the
developer can manage the logic in an organized and maintainable manner.
This also simplifies debugging and ensures that the trigger logic executes in a predictable order.
C . Create helper classes to execute the appropriate logic when a record is saved:
Using helper classes allows for a clean separation of concerns. The trigger becomes a dispatcher that
delegates logic to dedicated classes.
For example, you can create methods like applyDefaultsToExpense(), validateExpenseUpdate(), and
deleteExpense() in a helper class and invoke them from the trigger.
This improves reusability, readability, and testability of the code.
Why not the other options?
B . Unify the before insert and before update triggers and use Flow for the delete action:
While Flow is a powerful tool, it is not ideal for deleting records or replacing Apex trigger
functionality, especially when triggers already exist for other events.
D . Maintain all three triggers on the Expense c object but move the Apex logic out of the trigger
definition:
Maintaining multiple triggers on the same object can lead to conflicts and execution order issues,
even if the logic is moved to helper classes.
Reference:
Trigger Best Practices
Trigger Design Patterns

Explanation: Before-save Apex Trigger: This is the best solution because a before-save trigger
runs before the record is saved to the database, providing an opportunity to validate or
modify the data. In this case, the Apex trigger can validate the email address using a regular
expression or a third- party API call to ensure the email address is valid. If the email is invalid,
an error message can be displayed using addError(). Why not the other options? A . Submit a
REST API Callout with a JSON payload: REST callouts are more complex and generally not
recommended for simple validation tasks like email format validation. Additionally, callouts
cannot be performed directly in a before-save trigger. C . Use a custom Lightning Web
Component (LWC): LWCs are primarily for UI interactions and should not be used to enforce
data validations that are server-side requirements. D . Use an Approval Process: Approval
Processes are for managing the approval flow of records, not for real-time validations. They
cannot enforce email validation directly. Reference: Apex Triggers Documentation Trigger
Context Variables

Infrastructure as a Service (IaaS) is the best model for the scenario described because it provides on￾demand access to compute, storage, and networking resources that are ideal for a scalable server
cluster. IaaS allows the engineering team to rent infrastructure resources without having to invest in
physical hardware, making it perfect for temporary or fluctuating workloads, such as scalability
testing.
Key Characteristics of IaaS:
Full control over the operating systems and applications running on the servers.
Flexible resource allocation to support high scalability.
Ideal for custom software testing where specific server configurations may be needed.
Why not the other options?
PaaS (Platform as a Service):
While PaaS is excellent for application development and deployment, it abstracts the infrastructure
layer, which would limit the engineering team's control over the cluster's configuration.
SaaS (Software as a Service):
SaaS delivers fully managed applications, not infrastructure or testing environments. It’s irrelevant
for this use case.
BaaS (Backend as a Service):
BaaS is tailored to mobile or web application backend development, providing APIs and pre-built
services, not infrastructure for a server cluster.
Platform Developer Reference:
While this question is broader than Salesforce-specific concepts, understanding IaaS vs. PaaS is
relevant when working with Salesforce development. For example:
Salesforce operates as a PaaS (e.g., Force.com platform), allowing developers to build and deploy
applications without managing underlying servers. 
Testing scalability and performance at an infrastructure level (as in the question) would fall under
IaaS concepts, which Salesforce developers might encounter when integrating external services or
infrastructure like AWS, Azure, or Google Cloud.
This foundational knowledge complements your understanding of cloud services in the Salesforce
ecosystem.