Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC’’ org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?
Universal Containers has deployed Salesforce for case management The company is having difficulty understanding what percentage of cases are resolved from the initial call to their support organization. What first step is recommended to implement a reporting solution to measure the support reps case closure rates?
Universal Containers (UC) is implementing a new customer categorization process where customers should be assigned to a Gold, Silver, or Bronze category if they've purchased UC's new support service. Customers are expected to be evenly distributed across all three categories. Currently, UC has around 500,000 customers, and is expecting 1% of existing non-categorized customers to purchase UC's new support service every month over the next five years. What is the recommended solution to ensure long-term performance, bearing in mind the above requirements?
Universal Container is Implementing salesforce and needs to migrate data from two legacy systems. UC would like to clean and duplicate data before migrate to Salesforce.
Which solution should a data architect recommend a clean migration?
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.
What should the Architect consider in this situation?
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?
Universal Containers is experiencing frequent and persistent group membership locking issues that severely restricts its ability to manage manual and a automated updates at the same time.
What should a data architect do in order to restore the issue?
PDF + Testing Engine |
---|
$64 |
Testing Engine |
---|
$48 |
PDF (Q&A) |
---|
$40 |