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Salesforce Plat-Arch-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling/Database Design | 25% | - Describe the considerations when designing a data model for Salesforce - Describe the implications of LDV on data modeling - Explain the usage of external objects - Describe the options and considerations for Large Data Volumes (LDV) |
| Topic 2: Salesforce Data Management | 25% | - Describe the considerations for data governance - Describe the considerations for data migration - Describe the considerations for data archival - Describe the implications of LDV on data management |
| Topic 3: Data Governance | 10% | - Describe the considerations for data classification - Describe the considerations for data quality - Describe the elements of a data governance framework |
| Topic 4: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Topic 5: Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Topic 6: Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the considerations for data migration - Describe the tools and best practices for data migration |
Salesforce Certified Platform Data Architect Sample Questions:
1. An Architect needs to document the data architecture for a multi-system, enterprise Salesforce implementation. Which two key artifacts should the Architect use? (Choose two.)
A) Non-functional requirements
B) User stories
C) Integration specification
D) Data model
2. What is the selectivity threshold for standard indexed fields?
A) 20%
B) 30%
C) 10%
D) 50%
3. What makes Skinny tables fast? Choose three answer
A) Their tables are kept in sync with their source tables when the source tables are modified
B) They do not include soft-deleted records
C) They can contain fields from other objects
D) They avoid resource intensive joins
E) They support up to a max of 100 of columns
4. Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level. What is the recommended solution to address these requirements?
A) Roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level.
B) Use roll-up for the line-item-level summary and a trigger for the opportunity amount summary, as only one level roll-up is allowed.
C) Update the master-detail relationships to lookup relationships in order to allow the discount amount to roll up.
D) Remove the master-detail relationships and rely completely on workflow/triggers to summarize the discount amount.
5. Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW. What data extraction strategy should a data architect use for maximum performance?
A) Use the Bulk API in parallel mode.
B) Call the REST API in successive queries.
C) Utilize PK Chunking with the Bulk API.
D) Install a third-party AppExchange tool.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: B | Question # 3 Answer: A,B,D | Question # 4 Answer: A | Question # 5 Answer: C |
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