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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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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?
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Question 220 - Certified Data Architect discussion

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Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.

What is the fastest and most effective way for a data architect to solve the time-out issue?

A.
Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
Answers
A.
Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
B.
Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
Answers
B.
Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
C.
Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
Answers
C.
Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
D.
Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
Answers
D.
Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
Suggested answer: D

Explanation:

Creating an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports (option D) is the fastest and most effective way for a data architect to solve the time-out issue, as it reduces the amount of data that needs to be queried and processed by the reports. Creating custom fields on opportunity and copying data from order into those custom fields (option A) is not a good solution, as it may create data redundancy and inconsistency, and it does not address the large volume of data. Extracting opportunity and order data from Salesforce and using a third-party reporting tool (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not leverage the native reporting features of Salesforce. Creating a skinny table in Salesforce and copying order and opportunity fields into it (option C) is also not a good solution, as it may not support all the reporting requirements, and it does not reduce the number of records.

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asked 23/09/2024
Manohar M
41 questions
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