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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Migration15%- Describe the tools and best practices for data migration
- Describe the implications of data migration on data quality
- Describe the considerations for data migration
Large Data Volumes20%- Describe the implications of LDV on data modeling
- Describe the considerations for Large Data Volumes (LDV)
- Describe the features and best practices for LDV
Master Data Management5%- Describe the considerations for a Master Data Management strategy
- Describe the methods for aligning data across systems
Data Governance10%- Describe the elements of a data governance framework
- Describe the considerations for data classification
- Describe the considerations for data quality
Data Modeling/Database Design25%- Describe the implications of LDV on data modeling
- Explain the usage of external objects
- Describe the options and considerations for Large Data Volumes (LDV)
- Describe the considerations when designing a data model for Salesforce
Salesforce Data Management25%- Describe the considerations for data governance
- Describe the implications of LDV on data management
- Describe the considerations for data migration
- Describe the considerations for data archival

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Salesforce Certified Platform Data Architect Sample Questions (Q221-Q226):

NEW QUESTION # 221
Universal Containers (UC) uses Salesforce for tracking opportunities (Opportunity). UC uses an internal ERP system for tracking deliveries and invoicing. The ERP system supports SOAP API and OData for bi-directional integration between Salesforce and the ERP system. UC has about one million opportunities. For each opportunity, UC sends 12 invoices, one per month. UC sales reps have requirements to view current invoice status and invoice amount from the opportunity page. When creating an object to model invoices, what should the architect recommend, considering performance and data storage space?

Answer: D

Explanation:
Creating an external object Invoice_x with a Lookup relationship with Opportunity is the best option for modeling invoices, considering performance and data storage space. An external object allows the data to be stored in the ERP system and accessed via OData in Salesforce.
This reduces the data storage consumption in Salesforce and improves the performance of queries and reports. A Lookup relationship allows the sales reps to view the invoice status and amount from the opportunity page. The other options would either consume more data storage space, require additional customization, or not provide real-time data access


NEW QUESTION # 222
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org. Which three recommendations should a data architect make is order to reduce the number of records from the org? Choose 3 answer

Answer: A,C,E

Explanation:
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API


NEW QUESTION # 223
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answer

Answer: B,D

Explanation:
The data classification feature allows customers to classify their data in Salesforce based on two policies:
Data sensitivity level: This policy defines how sensitive the data is and what level of protection it requires. For example, high sensitivity data may require encryption or masking.
Compliance categorization policy: This policy defines how the data is regulated by various laws and standards. For example, GDPR or PCI DSS.


NEW QUESTION # 224
Which solution improves performance for frequently accessed fields?

Answer: C

Explanation:
Skinny tables reduce joins and improve read performance.


NEW QUESTION # 225
What makes Skinny tables fast? Choose three answer

Answer: A,D,E

Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.


NEW QUESTION # 226
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