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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Modeling/Database Design | 25% | - Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) |
| Data Governance | 10% | - Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework |
| Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Large Data Volumes | 20% | - Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV - Describe the implications of LDV on data modeling |
| Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data governance - Describe the considerations for data archival - Describe the considerations for data migration |
| Data Migration | 15% | - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality - Describe the considerations for data migration |
Salesforce Certified Platform Data Architect Sample Questions:
Question 1
Universal Containers wishes to maintain Lead data from Leads even after they are deleted and cleared from the Recycle Bin. What approach should be implemented to achieve this solution?
A. Query Salesforce with the queryAll API method or using the ALL ROWS SOQL keywords.
B. Use a Lead standard report and filter on the IsDeleted standard field.
C. Use a Converted Lead report to display data on Leads that have been deleted.
D. Send data to a Data Warehouse and mark Leads as deleted in that system.
Question 2
Universal Containers has multiple systems all containing and maintaining customer data.
Although point-to-point integrations are in place, customers are complaining about consistency in the data. What solution should the data architect recommend?
A. An MDM solution as the customer master, with centralized integrations to ensure consistency across all systems.
B. Data cleanse each system
C. Improve existing point-to-point integrations
D. Perform a onetime synchronization to level set the built up inconsistencies
Question 3
UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application. Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answer
A. Limit associating 10000 opportunities to one account.
B. Limit assigning one user 10000 records ownership.
C. Use picklist fields rather than lookup to custom object.
D. Assign 10000 opportunities to one account.
E. Limit associating 10000 records looking up to same records.
Question 4
What should a data architect do to provide additional guidance for users when they enter information in a standard field?
A. Add custom help text in default value for the field.
B. Provide custom help text under field properties.
C. Create a custom page with help text for user guidance.
D. Add a label field with help text adjacent to the custom field.
Question 5
A large Automobile company has implemented SF for its Sales Associates. Leads flow from its website to SF using a batch integration in SF. The Batch job connects the leads to Accounts in SF. Customer visiting their retail stores are also created in SF as Accounts.
The company has noticed a large number of duplicate accounts in SF. On analysis, it was found that certain customers could interact with its website and also visit the store. The Sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which scalable option should a data Architect choose to implement to avoid duplicates?
A. Build Custom search based on fields on Accounts which can be matched with customer when they visit the store
B. Implement a MDM solution to validate the customer information before creating Accounts in SF.
C. Create duplicate rules in SF to validate duplicates during the account creation process
D. Customize Account creation process to search if customer exists before creating an Account.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A,B,E | Question 4 Answer: B | Question 5 Answer: C |
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