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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Migration- Data migration strategies and planning
- Data cleansing and transformation
Topic 2: Data Integration- API-based integration approaches
- ETL vs ELT strategies
- Integration patterns in Salesforce
Topic 3: Salesforce Data Model and Platform Capabilities- Reporting and analytics considerations
- Standard and custom objects
- Relationships and schema design
Topic 4: Data Management- Master data management (MDM) concepts
- Data governance principles
- Data quality management
Topic 5: Data Architecture and Design- Data modeling best practices in Salesforce
- Conceptual and logical data modeling
- Handling large data volume and scalability considerations

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Salesforce Certified Platform Data Architect Sample Questions (Q186-Q191):

NEW QUESTION # 186
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

Answer: A,C

Explanation:
Using Weekly Export to extract transactional data to on-premise systems and using Event Monitoring to extract event data to on-premise systems are two recommended approaches that would address the security requirement of UC. Weekly Export is a built-in feature that allows UC to download a zip file of their Salesforce data on a weekly basis. Event Monitoring is a tool that allows UC to access detailed information about various events that occur in their Salesforce org, such as logins, logouts, file downloads, etc.


NEW QUESTION # 187
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan? Choose 2 answer

Answer: C,D

Explanation:
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce


NEW QUESTION # 188
What is the main purpose of Big Objects?

Answer: A

Explanation:
Big Objects handle billions of records.


NEW QUESTION # 189
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system. During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?

Answer: B

Explanation:
Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce.


NEW QUESTION # 190
UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time. Which 3 options should a data architect recommend to share data between Org A and Org B? Choose 3 answer

Answer: A,B,D

Explanation:
Leveraging Heroku Connect and Heroku Postgres, middleware tools, or Salesforce Connect and the cross-org adapter are all viable options to share data between Org A and Org B in near-real time. Installing a 3rd party AppExchange tool may not provide bidirectional sync or may have additional costs. Developing an Apex class that pushes opportunity data between orgs daily via the Apex schedule may not meet the near-real time requirement.


NEW QUESTION # 191
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