Salesforce Certified Platform Data Architect Plat-Arch-201 Exam Questions

Salesforce Certified Platform Data Architect Exam Objectives

1. 1

   1.0 Data Modeling/Database Design (25%)

   • 1.1Compare and contrast various techniques and considerations for designing a data model for the Customer 360 Platform. (for example, objects, fields & relationships, object features).
   • 1.2Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
   • 1.3Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (for example, business dictionary, data lineage, taxonomy, data classification).
   • 1.4Compare and contrast the different reasons for implementing big objects versus standard/custom objects within a production instance, alongside the unique pros and cons of utilizing big objects in a Salesforce data model.
   • 1.5Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).
2. 2

   2.0 Master Data Management (5%)

   • 2.1Compare and contrast the various techniques, approaches and considerations for implementing master data management (MDM) Solutions (for example, MDM implementation styles; harmonizing and consolidating data from multiple sources; establishing data survivorship rules, thresholds and weights; leveraging external reference data for enrichment; canonical modeling techniques, hierarchy management).
   • 2.2Given a customer scenario, recommend and use techniques for establishing a "golden record" or "system of truth" for the customer domain in a single org.
   • 2.3Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.
   • 2.4Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference and metadata to preserve traceability and establish a common context for business rules.
3. 3

   3.0 Salesforce Data Management (25%)

   • 3.1Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
   • 3.2Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner.
   • 3.3Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce Platform.
   • 3.4Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.
4. 4

   4.0 Data Governance (10%)

   • 4.1Given a customer scenario, recommend an approach for designing a General Data Protection Regulation (GDPR) compliant data model. Discuss the various options to identify, classify, and protect personal and sensitive information.
   • 4.2Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
5. 5

   5.0 Large Data Volume Considerations (20%)

   • 5.1Given a customer scenario, design a data model that scales considering LDV and solution performance.
   • 5.2Given a customer scenario, recommend a data archiving and purging plan that is optimal for the customer's data storage management needs.
   • 5.3Given a customer scenario, decide when to use virtualized data and describe virtualized data options.
6. 6

   6.0 Data Migration (15%)

   • 6.1Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.
   • 6.2Compare and contrast various techniques for improving performance when migrating LDVs into Salesforce.
   • 6.3Compare and contrast various techniques and considerations for exporting data from Salesforce.