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| Section | Objectives |
|---|---|
| Customization and UI Development | - Utilizing Handlebars templates (CloudCraze managed package) - Handling events in Lightning Web Components - Developing Lightning Web Components (LWC) for B2B Commerce - Layout Overrides vs Subscriber Templates - Using platformResourceLoader for third-party scripts - Wrapping LWCs inside Aura components |
| Checkout and Business Logic | - Customizing checkout flow steps - Understanding Cart Item Types and Data Mapping - Implementing Shipping/Inventory providers - Implementing Tax Providers |
| Storefront Implementation and Configuration | - Pushing store sources and configurations - Product import and search index creation - Creating and configuring buyer users - Understanding Page Labels and Global Attributes - Setting up a new storefront using SFDX commands |
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NEW QUESTION # 119
A developer attempts to export data from an org by launching Data Loader, selecting a standard entity, clicking the "Select All Fields" button and clicking the Finish button. The developer finds that the CustomField_c field they added to the entity has no values under the header in the CSV file output. What is the root cause?
Answer: A
Explanation:
The root cause of why the CustomField__c field they added to the entity has no values under the header in the CSV file output is that the user does not have rights to the custom field. A user's access to a field is determined by their profile and permission sets, which define their field-level security settings. Field-level security settings control whether a user can see, edit, or delete the value for a particular field on an object. If a user does not have access to a field, they will not be able to view or modify its value in any interface, including Data Loader. Data Loader is a tool that allows users to import or export data between Salesforce and CSV files. When using Data Loader to export data from an org, Data Loader will only include fields that are accessible to the user based on their field-level security settings. If a user does not have access to a field, Data Loader will not include that field in the CSV file, neither as a column header nor as a value. The developer does not have the correct JDK that is recommended by Salesforce and this is known to cause issues with exporting custom attributes is not the root cause of why CustomField__c has no values under the header in the CSV file output, as it is not related to field access or Data Loader functionality. The developer does not have access to the object's metadata is not the root cause either, as it is not related to field access or Data Loader functionality. The object's metadata defines its structure and properties, such as fields, relationships, and layouts. The field is not populated is not the root cause either, as it contradicts the fact that CustomField__c has no column header in the CSV file output. If the field was not populated but accessible to the user, Data Loader would still include CustomField__c as a column header in the CSV file, but leave its values blank.
Salesforce References: Data Loader Guide: Export Data from Salesforce, [Data Loader Guide: Field Mapping], [Salesforce Help: Set Field-Level Security]
NEW QUESTION # 120
Which interface does a developer have to implement to override Inventory in Checkout?
Answer: C
Explanation:
To override inventory in the checkout process, a developer must implement the sfdc_checkout.CartinventoryValidationinterface. This interface provides the necessary methods for custom inventory validation logic, allowing developers to define how inventory checks are conducted during the checkout process. Salesforce documentation on extending and customizing the checkout functionality in B2B Commerce would include guidance on implementing this interface to meet specific inventory validation requirements.
NEW QUESTION # 121
A developer needs to import some new product data contained in a JSON file one time. What are two viable ways to do this? .
Answer: A,D
Explanation:
Explanation
Two viable ways that a developer can import some new product data contained in a JSON file one time are running a command like: sfdx force:data:tree:import -f NewProducts.json -u <your username> and converting the JSON to a CSV file and using Data Loader to import it. Running a command like: sfdx force:data:tree:import -f NewProducts.json -u <your username> allows the developer to import data from a JSON file into an org using Salesforce CLI commands. The sfdx force:data:tree:import command is a Salesforce CLI command that imports data into an org using JSON files that conform to the SObject Tree API specification. The SObject Tree API specification is a format that defines how records are represented in JSON files for data import or export. The -f flag specifies the path of the JSON file that contains the data to be imported. The -u flag specifies the username or alias of the org where the data will be imported. Running this command will create records in the org based on the data in the JSON file. Converting the JSON to a CSV file and using Data Loader to import it allows the developer to import data from a CSV file into an org using Data Loader. Data Loader is a tool that allows users to import or export data between Salesforce and CSV files. The developer can use an online converter or a spreadsheet application to convert their JSON file into a CSV file that matches the structure and format of their Salesforce object. The developer can then use Data Loader to import the CSV file into their org and create records based on the data in the CSV file. Converting the JSON to an xlsx file and using Workbench to import it is not a viable way to import some new product data contained in a JSON file one time, as Workbench does not support xlsx files for data import or export.
Workbench is a web-based tool that provides access to various Salesforce features and functionalities, such as data manipulation, REST Explorer, and Apex Execute. Running a command like: sfdx force:data;import:bulk
-f NewProducts.json -u <your username> is not a viable way either, as there is no such command as sfdx force:data;import:bulk. The correct command for importing data using bulk API is sfdx force:data:bulk:upsert.
Salesforce References: [Salesforce CLI Command Reference: force:data:tree:import], [Salesforce Developer Tools for Visual Studio Code], [Data Loader Guide: Import Data into Salesforce], [Workbench], [Salesforce CLI Command Reference: force:data:bulk:upsert]
NEW QUESTION # 122
How should a developer get the grand total amount, including shipping and tax, for items in the cart and in the currency of the cart, when developing a new Lightning web component for an Aura storefront cart page?
Answer: A
Explanation:
According to the B2B Commerce Developer Guide, the ICart interface provides access to the cart object and its related data. The Details property of the ICart interface returns an ICartDetails object, which contains information about the cart such as the currency, the subtotal, the shipping cost, the tax, and the grand total. The Fields property of the ICartDetails interface returns a map of field names and values for the cart object.
Therefore, to get the grand total amount for items in the cart and in the currency of the cart, a developer should use the expression {ICart.Details.Fields.grandTotal}, which returns the value of the grandTotal field from the cart object. References: B2B Commerce Developer Guide, ICart Interface, ICartDetails Interface
NEW QUESTION # 123
Which two usages of ccLog should be avoided in Salesforce B2B Commerce? (2 answers)
Answer: A,D
Explanation:
You should avoid using ccLog in two scenarios. First, you should avoid using ccLog with System.LoggingLevel.ERROR when passing in a method invocation as the third parameter, such as ccrz.ccLog.log(System.LoggingLevel.ERROR, 'D:something', myCallToGetMessage(pl) ). This is because if an exception occurs within the method invocation, it will not be caught by ccLog and will cause an unhandled exception on the page. Instead, you should use a try-catch block around the method invocation and log the exception separately. Second, you should avoid using ccLog with System.LoggingLevel.DEBUG when passing in a large collection or object as the third parameter, such as ccrz.ccLog.log(System.LoggingLevel.DEBUG, 'D:myOrderList', myOrderList), where myOrderList is a list of orders. This is because logging large objects can cause performance issues and consume a lot of heap space.
Instead, you should use a loop to log only the relevant fields or properties of the object or collection. You can use ccLog with System.LoggingLevel.WARN when passing in a string as the third parameter, such as ccrz.ccLog.log(System.LoggingLevel.WARN, 'D:something', 'Something unexpected occurred: The data we were expecting for pl was not there,'). This is a valid use case for logging a warning message. You can also use ccLog with System.LoggingLevel.DEBUG when passing in a small object as the third parameter, such as ccrz.ccLog.log(System.LoggingLevel.DEBUG, 'D:myOrder', myOrder), where myOrder is an order object.
This is acceptable as long as the object is not too large or complex. Salesforce References: [B2B Commerce Developer Guide: Logging]
NEW QUESTION # 124
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