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| Section | Weight | Objectives |
|---|---|---|
| Data Modeling and Management | 13% | - Data security and sharing - Data import/export and management - Custom objects and fields - Relationships and lookup filters |
| Testing, Debugging, and Deployment | 17% | - Test methods and test data creation - Code coverage requirements - Deployment tools and processes - Change management and best practices - Debugging tools and techniques |
| Salesforce Fundamentals | 7% | - Development models and tools - Multi-tenant architecture - Platform features and capabilities |
| Logic and Process Automation | 40% | - SOQL, SOSL, and DML operations - Apex programming: classes, triggers, and methods - Process Builder, Flow, and Workflow - Formulas, roll-up summaries, and validation rules - Governor limits and exception handling - Order of execution |
| User Interface | 23% | - Lightning App Builder and components - Lightning Web Components - UI security and accessibility - Visualforce pages and controllers |
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NEW QUESTION # 209
A team of developers is working on a source-driven project that allows them to work independently, with many different org configurations. Which type of Salesforce orgs should they use for their development?
Answer: B
Explanation:
Scratch orgs are short-term Salesforce environments that you can spin up to work on a feature. They are source-driven and disposable, meaning you can create and delete them as needed. They are fully configurable, allowing you to emulate different Salesforce editions with different features and settings. You can also install packages and deploy synthetic or dummy data for testing. Scratch orgs are ideal for developing in a source-driven way, as they enable source tracking, which keeps your local source files and the metadata in your org in sync. You can use Salesforce CLI or an IDE to create, open, and manage scratch orgs. Scratch orgs are different from other types of Salesforce orgs, such as Developer sandboxes, Full Copy sandboxes, and Developer orgs, which are long-term, persistent, and not source-driven. References:
* Scratch Orgs from the Salesforce DX Developer Guide
* Develop in Scratch Orgs from the Lightning Web Components Developer Guide
* Manage Scratch Orgs from the Dev Hub Org from the Salesforce DX Developer Guide
NEW QUESTION # 210
Universal Containers (UC) decided it will not send emails to support personnel directly from Salesforce in the event that an unhandled exception occurs. Instead, UC wants an external system be notified of the error.
What is the appropriate publish/subscribe logic to meet these requirements?
Answer: A
NEW QUESTION # 211
Which statement results in an Apex compiler error?
Answer: D
NEW QUESTION # 212
A developer Is asked to create a Visualforce page that lists the contacts owned by the current user. This component will be embedded In a Lightning page.
Without writing unnecessary code, which controller should be used for this purpose?
Answer: B
Explanation:
A standard list controller provides a list of records of a specific object type, such as Contact, and allows you to create Visualforce pages that can display or act on that data1. A standard list controller is suitable for this purpose, because it can easily query the contacts owned by the current user and display them in a table or list. A standard list controller also supports pagination, sorting, filtering, and mass actions2. A standard controller provides access to a single record of a specific object type, such as Account, and is not suitable for displaying a list of records1. A lightning controller is a JavaScript controller that handles user interactions and events in a Lightning web component, and is not related to Visualforce pages3. A custom controller is an Apex class that implements all the logic for a Visualforce page, and requires writing more code than using a standard list controller1. References:
* Standard Controllers and Standard List Controllers | Visualforce Developer Guide | Salesforce Developers
* Using Standard List Controllers | Visualforce Developer Guide | Salesforce Developers
* Lightning Web Components Developer Guide | Salesforce Developers
NEW QUESTION # 213
A developer needs to create a baseline set of data (Account, Contacts, Products, Assets) for an entire suite allowing them to test independent requirements for various types of Salesforce Cases.
Which approach can efficiently generate the required data for each unit test?
Answer: D
Explanation:
To efficiently generate the required data for each unit test, the best approach is to use @TestSetup with a void method. This annotation allows you to create common test data that is available for all test methods in the test class. The data is rolled back after each test method, so you don't have to worry about deleting or modifying it.
This way, you can avoid duplicating code and improve performance by reducing the number of DML operations. The other options are not correct because:
* Creating test data before Test.startTest in the unit test means that you have to repeat the same code for every test method that needs the same data. This can make your test class longer and harder to maintain.
It also consumes more DML statements and governor limits.
* Creating a mock using the Stub API is useful for testing callouts or interfaces, not for creating test data.
A mock object is a fake object that simulates the behavior of a real object. It does not persist any data in the database.
* Adding @IsTest(seeAllData=true) at the start of the unit test class is not a good practice, as it makes your test methods depend on the data in the org. This can cause your tests to fail or behave inconsistently if the data changes or is not available. It also exposes your test methods to the risk of violating data privacy or security policies. References:
* Generate Data for Tests
* Testing Best Practices
* Free Salesforce Platform Developer 1 Practice Exam (With Answers)
NEW QUESTION # 214
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