UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:
The correct answer is C and D. To minimize performance and storage issues, a data architect should recommend leveraging on premise data archival and building integration to view archived data, and leveraging big object to archive case data and lightning components to show archived data. These solutions will allow some user groups to access historical cases for up to 7 years without consuming too much storage space or affecting the performance of queries and reports. Option A is incorrect because exporting data out of salesforce and storing it in flat files on external system will make it difficult to access and query the data. Option B is incorrect because creating a custom object to store case history and run reports on it will still consume a lot of storage space and impact the performance of queries and reports.
A large automobile manufacturer has decided to use Salesforce as its CRM. It needs to maintain the following dealer types in their CRM:
Local dealers
Regional distributor
State distributor
Service dealer
The attributes are different for each of the customer types. The CRM users should be allowed to enter only attributes related to the customer types. The processes and business rules for each of the customer types could be different.
How should the different dealers be maintained in Salesforce?
According to Trailhead2, record types are a feature that allows administrators to create different business processes, page layouts, and picklist values for different types of records within an object. Record types can be used to maintain different dealer types in Salesforce by creating record types for each of the dealer types and assigning them appropriate attributes, processes, and rules. Option A is the correct answer because it suggests using Accounts for dealers, and creating record types for each of the dealer types. Option B is incorrect because creating dealers as Accounts, and building custom views for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option C is incorrect because using Accounts for dealers and custom picklist field for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option D is incorrect because creating Custom objects for each dealer types and custom fields for dealer attributes can be unnecessary and complex, as it requires creating multiple objects and relationships instead of using the standard Account object.
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?
Ordering batches by Auto-number field will ensure that the records are processed in a sequential order and avoid any locking issues that might occur when loading related records in parallel mode. Creating indexes, grouping batches by AccountId, or sorting batches by Name field values are not necessary or beneficial for loading Opportunity records using the Bulk API.
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an ''Unable to lock a row'' error.
Which solution should a data architect recommend, to resolve the error?
The best solution to resolve the error of ''Unable to lock a row'' during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record.To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API12. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches.Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation
Universal Containers (UC) 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. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external
system into Salesforce.com?
Loading all data after deferring sharing calculations can improve the performance and avoid locking issues when loading a large amount of time entry records into Salesforce.com.This is because deferring sharing calculations can temporarily suspend the calculation of sharing rules until all the data is loaded, and then recalculate them in one operation
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