Master the Salesforce Certified Platform Developer I (WI24) CRT-450 Exam with Confidence!

The developer should use the lightning-input-field component to support the security requirements. This component respects the field-level security and sharing settings of the Salesforce org, and displays the appropriate data to different types of users. The other components do not have this feature, and may expose sensitive data to unauthorized users. References: Lightning Web Components Developer Guide), Secure Coding Guide)

Marking the field as Required on the field definition ensures that the field cannot be left blank or null when a record is created or updated, regardless of the page layout or the API. This is the most efficient way to enforce a value for the picklist field, as it does not require any additional configuration or code. Setting the first value as the default value does not prevent the user from changing or clearing the value. Setting a validation rule requires writing a formula and handling error messages. Marking the field as Required on the page layout only affects the user interface, not the API or other tools. References:

• Create a Custom Picklist Field from the Salesforce Help
• Get Started with Picklists from the Salesforce Trailhead
• Picklist Considerations from the Salesforce Help

Declarative development is the process of configuring and customizing the Salesforce platform using its built-in tools, such as the setup menu, without writing any code. Declarative development has the following advantages over programmatic customization, which involves writing custom code using Apex, Visualforce, or other languages:

• Declarative development can be done by anyone who knows how to use the Salesforce user interface, without requiring any programming knowledge or skills. Programmatic customization requires a skilled developer who knows how to write, test, and debug code.
• Declarative development does not require Apex test classes, which are mandatory for deploying any custom code to production. Apex test classes are used to verify the functionality and quality of the code, and to ensure that it meets the code coverage requirement of at least 75%. Declarative development does not have this requirement, as the platform automatically validates the configuration and customization.
• Declarative development is faster and easier to implement, as it involves clicking and dragging components, setting properties, and defining rules. Programmatic customization is more time-consuming and complex, as it involves writing lines of code, using development tools, and following coding standards and best practices.

However, declarative development also has some limitations and disadvantages compared to programmatic customization, such as:

• Declarative development has lower design limits and query limits than programmatic customization. Design limits are the maximum number of components, fields, objects, rules, etc. that can be used in a Salesforce org. Query limits are the maximum number of records that can be retrieved or manipulated in a single transaction. Programmatic customization can bypass some of these limits by using techniques such as dynamic SOQL, batch Apex, or asynchronous Apex.
• Declarative development has less flexibility and control over the functionality and user interface than programmatic customization. Programmatic customization can create custom logic, automation, integration, and user interface that are not possible or supported by the declarative tools. For example, programmatic customization can use Apex triggers to execute logic before or after a record is inserted, updated, deleted, or undeleted, while declarative development can only use workflow rules or process builder to execute logic after a record is created or updated.
• Declarative development can become difficult to maintain and troubleshoot as the complexity and number of components, rules, and dependencies increase. Programmatic customization can be more organized and modular, as it can use classes, methods, variables, comments, and annotations to structure and document the code.

Therefore, the best practice is to use a combination of declarative and programmatic development, depending on the use case and the requirements. The general rule of thumb is to use declarative development whenever possible, and use programmatic customization only when necessary or when it provides significant benefits.

References:

• Programmatic vs Declarative: Are Clicks Better Than Code?
• Clicks Not Code: Benefits of Declarative Vs. Imperative Programming
• Review Developer Fundamentals Unit

Data Export is a service that allows you to export data from your Salesforce org to a CSV file. You can use Data Export to back up your data and attachments on a regular basis. You can define a Data Export scheduled job to run weekly or monthly, and specify the objects and fields to include in the export. You can also receive an email notification when the export is complete and download the zip file containing the CSV files from the Setup menu. References:

• Data Export Service from the Salesforce Certified Platform Developer I Exam Guide
• Export Data from the Data Loader Guide
• Export Data from the Salesforce Trailhead

A trace flag is a configuration that specifies the debug level, the start time, the end time, and the log type for a user, an Apex class, or an Apex trigger. The log types are DEVELOPER_LOG, USER_DEBUG, and CLASS_TRACING. A trace flag can be configured for Visualforce, Apex classes, and users to enable logging of their activities and events. For example, a trace flag can be set for a Visualforce page to capture the execution time, view state, and heap size. A trace flag can also be set for an Apex class or trigger to override the default logging level and capture more or less information. A trace flag can also be set for a user to monitor their actions and interactions with Salesforce. A trace flag cannot be configured for Process Builder or outbound messages, as they are not supported log types. References:

• TraceFlag from the Tooling API Developer Guide
• Debug Log Levels from the Salesforce Help
• Set Up Debug Logging from the Salesforce Help

The component is used to create editable fields that respect the field-level security and other attributes of the specified field on an object. It works with the component to display and save the values of record fields. The component automatically displays the correct input type based on the data type of the field. For example, if the field is a currency field, the component renders as a currency input. The component also respects the user’s locale and currency settings. See lightning-input-field1 for more details. References: 1: lightning-input-field | Apex Reference Guide | Salesforce Developers(https://developer.salesforce.com/docs/component-library/bundle/lightning-input/documentation)

 Developer Edition orgs are free, fully-featured copies of Salesforce that are designed for developers to create and test applications. They have the same configuration as the production org, but with limited data and file storage. Developer Edition orgs are ideal for individual developers or small teams who want to work in their own orgs that are isolated from each other. Full Sandbox orgs are also copies of the production org, but they require a paid license and have a refresh interval of 29 days. Partner Developer Edition orgs are similar to Developer Edition orgs, but they have higher limits on data and file storage, as well as the number of custom objects and tabs. They are available only to Salesforce partners who are enrolled in the Partner Program. Developer Sandbox orgs are copies of the production org metadata, but they have very limited data and file storage, and a refresh interval of one day. They are useful for coding and testing in a disposable environment, but not for developing complex applications that require more resources. References:

• Certification - Platform Developer I - Trailhead
• SALESFORCE CERTIFIED PLATFORM DEVELOPER I
• [Developer Edition Orgs | Salesforce Trailhead]
• [Sandbox Types and Templates | Salesforce Trailhead]

Component and application events are two types of events that can be used to communicate between components in Lightning. Component events are handled by the component that fired the event or a component in its containment hierarchy. Application events are handled by any component that is listening to the event, regardless of where it is in the DOM1. Some of the best practices when it comes to component and application event handling are:

• Reuse the event logic in a component bundle, by putting the logic in the helper. This practice allows the developer to avoid duplicating code and to maintain consistency and modularity. The helper class can contain common methods that can be invoked by the controller or the renderer of the component2.
• Handle low-level events in the event handler and re-fire them as higher-level events. This practice allows the developer to abstract away the details of the low-level events and provide a more meaningful and relevant event for the consumers. For example, a component can handle a mouse click event and re-fire it as a select event with additional data3.

The other options are not best practices because:

• Use component events to communicate actions that should be handled at the application level. This practice is not recommended, because component events are scoped to the component that fired them or its parents. If the action should be handled by a component that is not in the same containment hierarchy, the component event will not reach it. Application events are more suitable for cross-component communication1.
• Try to use application events as opposed to component events. This practice is not advisable, because application events are broadcast to all components that are listening to them, which can cause performance issues and unwanted side effects. Component events are more efficient and secure, as they are only handled by the relevant components1.

References:

• : Communicating with Events
• : Helper Functions
• : Advanced Events Example

 The given anonymous block of code is trying to update over 10,000 Case records in a single transaction, which will exceed the governor limit. In Salesforce, there are specific limits to prevent operations from consuming excessive resources. One of these limits is the total number of records processed in a transaction. If this limit is exceeded, the transaction will fail.

References: The related information can be found under the “Apex Governor Limits” section in Salesforce documentation and learning materials on Trailhead.

I also noticed that you sent me an image along with your question. It seems to be a piece of code displayed on a screen with a light background. It’s an Anonymous Block of Apex code for Salesforce. The code snippet involves updating case records with the status “Working”. There’s an evident syntax error as it tries to retrieve 50,000 records which exceeds governor limits. A try/catch block is used to handle exceptions during the database update operation.

If you are looking for more resources to study for the Platform Developer I exam, you can check out the following links from my web search results:

• Free Salesforce Platform Developer 1 Practice Exam (With Answers): This is a website that offers 60-question practice exam with answers and explanations, written by a Salesforce Developer.
• SALESFORCE CERTIFIED PLATFORM DEVELOPER I: This is a PDF document that provides the exam guide, sample questions, and answers for the certification exam.
• Study for the Platform Developer I Exam | Salesforce Trailhead: This is a learning path that covers the topics and skills required for the certification exam, with interactive modules and quizzes.

The most efficient way to ensure that the TotalJobs__c field on Account is kept up to date is to change it to a roll-up summary field. A roll-up summary field calculates values from related records, such as those in a related list1. In this case, the roll-up summary field on the Account object would count the number of ServiceJob__c records that are related to the Account via the partner_Service_Provider__c Lookup field. This is the simplest and most declarative way to achieve the requirement.

The other options are not valid because:

• Creating a record-triggered flow on ServiceJob__c would require more steps and logic than a roll-up summary field. A record-triggered flow would need to query the related Account record, update the TotalJobs__c field, and handle possible errors2. A record-triggered flow would also consume more system resources and limits than a roll-up summary field.
• Creating an Apex trigger on ServiceJob__c would require more coding and testing than a roll-up summary field. An Apex trigger would need to perform similar operations as a record-triggered flow, but with more complexity and less maintainability3. An Apex trigger would also consume more system resources and limits than a roll-up summary field.
• Creating a schedule-triggered flow on ServiceJob__c would not ensure that the TotalJobs__c field is kept up to date in real time. A schedule-triggered flow runs at a specified time or time interval, which means that the TotalJobs__c field could be outdated between the scheduled runs4. A schedule-triggered flow would also consume more system resources and limits than a roll-up summary field.

References:

• 1: Roll-Up Summary Field - Salesforce
• 2: Update Salesforce Records from a Flow
• 3: Inserting and Updating Records | Apex Developer Guide
• 4: Schedule-Triggered Flows - Salesforce