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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Master Data Management	5%	- Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy
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 Data Management	25%	- Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data governance - Describe the considerations for data migration
Data Governance	10%	- Describe the considerations for data classification - Describe the elements of a data governance framework - Describe the considerations for data quality
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
Data Modeling/Database Design	25%	- Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Explain the usage of external objects - Describe the implications of LDV on data modeling

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Salesforce Certified Platform Data Architect Sample Questions (Q86-Q91):

NEW QUESTION # 86
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers. What solution should a data architect recommend to meet the business requirement?

A. Leverage big objects to archive records and Einstein Analytics to run reports.
B. Leverage custom objects to store aggregate data and run analytics.
C. Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.
D. Archive records to a data warehouse and run analytics on the data warehouse.

Answer: A

Explanation:
According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.

NEW QUESTION # 87
What is the purpose of Shield Platform Encryption?

A. Encrypt data at rest
B. Deduplicate records
C. Improve performance
D. Backup data

Answer: A

Explanation:
It protects sensitive data for compliance.

NEW QUESTION # 88
Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information. What solution should a data architect recommend?

A. Let each system be an owner of data it generates.
B. Make Salesforce the system of record for all data.
C. Load customer data in all systems.
D. Implement a master data management (MDM) strategy for customer data.

Answer: D

Explanation:
A master data management (MDM) strategy for customer data can help UC ensure that all systems have access to the same customer information, without loading or duplicating data in all systems. An MDM strategy can also help UC avoid data conflicts and inconsistencies that may arise from having multiple systems as owners of data.

NEW QUESTION # 89
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?

A. Improve reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.
B. Improve reporting performance by creating a dashboard that is scheduled to run the reports only once per day.
C. Improve reporting performance by creating a custom Visualforce report that is using a cache of the records in the report.
D. Improve reporting performance by creating an Apex trigger for the Report object that will pre- fetch data before the report is run.

Answer: A

Explanation:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud. Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud.

NEW QUESTION # 90
Universal Containers (UC) is implementing a new customer categorization process where customers should be assigned to a Gold, Silver, or Bronze category if they've purchased UC's new support service. Customers are expected to be evenly distributed across all three categories.
Currently, UC has around 500,000 customers, and is expecting 1% of existing non-categorized customers to purchase UC's new support service every month over the next five years. What is the recommended solution to ensure long-term performance, bearing in mind the above requirements?

A. Implement a new global picklist custom field with Gold, Silver, and Bronze values and enable it in Account.
B. Implement a new Categories custom object and a master-detail relationship from Account to Category.
C. Implement a new Categories custom object and create a lookup field from Account to Category.
D. Implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values.

Answer: D

Explanation:
The recommended solution to ensure long-term performance for the customer categorization process is to implement a new picklist custom field in the Account object with Gold, Silver, and Bronze values. A picklist field is a simple and efficient way to store a predefined set of values for a record. A picklist field has the following benefits:
It allows you to easily filter, sort, and group records by their category values, which can help you analyze and segment your customers.
It does not require creating any additional objects or relationships, which can reduce the data model complexity and maintenance overhead.
It supports large data volumes and can handle millions of records without affecting performance or scalability.

NEW QUESTION # 91
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