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Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types. Which solution should a data architect use to ensure successful data migrations?
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As part of a phased Salesforce rollout. there will be 3 deployments spread out over the year. The requirements have been carefully documented. Which two methods should an architect use to trace back configuration changes to the detailed requirements? Choose 2 answers
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Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations. Which two solutions should a data architect recommend to mitigate data quality issues?
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?
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A national nonprofit organization is using Salesforce to recruit members. The recruitment process requires a member to be matched with a volunteer opportunity. Given the following: 1. A record is created in Project__ c and used to track the project through completion. 2. The member may then start volunteering and is required to track their volunteer hours, which is stored in VTOTime_c object related to the project. 3. Ability to view or edit the VTOTime__c object needs to be the same as the Project__ c record. 4. Managers must see total hours volunteered while viewing the Project__ c record. Which data relationship should the data architect use to support this requirement when creating the custom VTOTime__c object?
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated. NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows. Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

Question 232 - Certified Data Architect discussion

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Universal Containers (UC) manages Vehicle and Service History in Salesforce. Vehicle (Vehicle__ c) and

Service History (Service-History__ c) are both custom objects related through a lookup relationship.

Every week a batch synchronization process updates the Vehicle and Service History records in Salesforce. UC has two hours of migration window every week and is facing locking issues as part of the data migration process.

What should a data architect recommend to avoid locking issues without affecting performance of data migration?

A.
Use Bulk API parallel mode for data migration
Answers
A.
Use Bulk API parallel mode for data migration
B.
Use Bulk API serial mode for data migration
Answers
B.
Use Bulk API serial mode for data migration
C.
Insert the order in another custom object and use Batch Apex to move the records to Service_ Order__ c object.
Answers
C.
Insert the order in another custom object and use Batch Apex to move the records to Service_ Order__ c object.
D.
Change the lookup configuration to 'Clear the value of this field' when lookup record is deleted.
Answers
D.
Change the lookup configuration to 'Clear the value of this field' when lookup record is deleted.
Suggested answer: B

Explanation:

According to the official Salesforce guide1, using Bulk API serial mode for data migration can help avoid locking issues by processing batches in a single thread. This mode ensures that batches are processed in the order they are received and that only one batch is processed at a time. This reduces the risk of lock contention and deadlocks, especially when updating parent and child records in a lookup relationship. Option B is the correct answer because it suggests using Bulk API serial mode for data migration. Option A is incorrect because using Bulk API parallel mode for data migration can cause locking issues by processing batches in multiple threads. This mode does not guarantee the order of batch processing and can result in concurrent updates to the same records, which can lead to lock contention and deadlocks. Option C is incorrect because inserting the order in another custom object and using Batch Apex to move the records to Service_Order__c object adds unnecessary complexity and overhead to the data migration process. Option D is incorrect because changing the lookup configuration to ''Clear the value of this field'' when lookup record is deleted does not address the locking issues caused by data migration, but rather by record deletion.

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asked 23/09/2024
Paula Castanheira
36 questions
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