Salesforce B2B-Solution-Architect Exam Dumps

Data migration is the process of transferring data from one system toanother1.

Data migration in Salesforce requires careful planning, preparation, and execution234.

Data migration best practices include setting up a data governance plan, focusing on data quality, creating templates, verifying proper transfer, and using appropriate tools2356.

For Ohana Cirrus' transition to Salesforce from a custom solution, efficiently managing the migration of a large volume of complaint records is crucial. Migrating archived data to Heroku provides a scalable storage solution while keeping active and semi-active data in Salesforce ensures accessibility and integration with service processes. Using Deferred Sharing Calculations during migration helps maintain system performance by temporarily suspending real-time sharing rule calculations. Utilizing an ETL (Extract, Transform, Load) tool with Salesforce Bulk API facilitates efficient data transfer, minimizing system downtime and ensuring data integrity. This strategic approach to data migration aligns with Salesforce's best practices for handling large datasets and complex migrations, ensuring a smooth transition to the new Salesforce solution.

In designing collaborative forecasting, especially in a complex organization like UC with multiple acquisitions and territories, it's crucial to consider the system's performance. When a sales user is assigned to multiple territories, and they work on numerous opportunities, it can significantly impact the system's ability to generate accurate and timely forecasts. Salesforce's own documentation on collaborative forecasting emphasizes the need to carefully manage territory assignments and forecast calculations to maintain system performance and forecast accuracy.

Reference to these considerations can be found in Salesforce's Release Notes and Administrator Guide, where Salesforce discusses best practices for managing territories and forecasts in complex sales environments.

https://help.salesforce.com/s/articleView?id=000199046&language=en_US&type=1

The CPQ B2B Commerce Cloud Connector is an unmanaged package from Salesforce Labs that allows B2B Commerce and CPQcustomers to configure or customize functionality12.It syncs products, pricing, quote requests, and orders in both clouds12.

For supporting kits in the B2B Commerce Storefront, they need to create equivalent bundle products on the CPQ side3.A kit is a product that contains other products as components3.A bundle is a product that has one or more options that can be added or removed by a user4.The connector maps kits to bundles using a custom field called Kit ID on both objects3.

On the CPQ 826 Commerce Connector, the default mapping of tieredpricing in 826 Commerce is to Discount Schedules in CPQ5.Tiered pricing lets you set different prices for different quantities of a product5. Discount schedules let you apply discounts based on quantity or amount ranges for a product.The connector maps tiered prices to discount schedules using a custom field called Tiered Price ID on both objects5.

Integrating the existing third-party survey tool with Salesforce, specifically linking survey responses to Service Appointment and Service Resource records, enables UC to track customer satisfaction effectively. This approach leverages the existing survey infrastructure, minimizes disruption, and provides a direct correlation between technician performance and customer feedback. It aligns with Salesforce's capabilities for integrating external data and utilizing it within the CRM to enhance service management and improve customer satisfaction insights.

There are different types of performance testing, such as load testing, stress testing, endurance testing, and spike testing. Each type has a different purpose and goal.

the best type of performance testing isAPI load testagainst thefull copy sandboxbefore go live. This type of test can help you evaluate how well your integrations handle high volumes of data and transactions from multiple sources. It can also help you validate the functionality and performance of your MuleSoft Anypoint Platform.

To perform an API load test, you need to create a test plan thatdefines the test scenarios, test data, test tools, and test metrics.You also need to submit a request for performance testing to Salesforce2and follow their guidelines and best practices.

A full copy sandbox is a good environment for API load test because it has the same data and metadata as your production org. This can help you simulate realistic conditions and avoid data skew issues.

When dealing with large volumes of data and multiple integrations, it is important to perform load testing to ensure that the system can handle the expected load. An API load test against the full copy sandbox will simulate the expected load and help identify any performancebottlenecks before the system goes live in production. This type of testing should be performed prior to go live to ensure that the system can handle the expected load and provide a good user experience.