Plat-Arch-201 Salesforce Certified Platform Data Architect Exam Topics and Questions
These Salesforce Certified Platform Data Architect (Plat-Arch-201) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise Plat-Arch-201 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Salesforce Certified Platform Data Architect certification exam.
Let's Practice Free Salesforce Plat-Arch-201 Questions Aligned with Official Exam Topics
Exam Contains: 6 Topics
Topic Content
Data Modeling and Database Design encompasses the strategic planning and implementation of data structures within enterprise platforms. This topic requires professionals to evaluate and compare multiple design methodologies including object architecture, field definitions, relationship mapping, and object-specific features to create optimal data models for customer-centric platforms. Candidates must demonstrate the ability to assess business scenarios and recommend scalable data modeling approaches that align with existing security protocols and data sharing requirements. Additionally, this topic covers the critical aspects of metadata...
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Sample Questions for Topic 1 : Data ModelingDatabase Design
Q1
You are establishing a metadata management framework for your organization's Salesforce platform. Which of the following components should be prioritized to ensure proper data governance and organizational clarity?
Topic Content
Master Data Management encompasses the strategic implementation and governance of unified customer data across organizational systems. This topic covers the comparison and evaluation of various MDM implementation styles, including hub-and-spoke and registry approaches, along with techniques for harmonizing and consolidating data from multiple sources through data survivorship rules, weighted thresholds, and canonical modeling frameworks. Candidates must demonstrate the ability to establish a golden record or system of truth for customer domains by selecting winning attributes from multiple data sources based...
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Topic Content
Salesforce Data Management encompasses the strategic selection of appropriate license types to optimize the use of standard and custom objects aligned with specific business requirements. This includes implementing techniques to maintain consistent data persistence across the platform and establishing a unified customer view by integrating data from multiple external systems. The topic also covers designing solutions to consolidate and leverage data effectively when managing multiple Salesforce instances, ensuring seamless data flow and accessibility. Professionals must understand how to recommend licensing...
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Topic Content
Data Governance encompasses the strategic design and implementation of frameworks to manage organizational data assets effectively. This includes analyzing customer scenarios to develop GDPR-compliant data models while identifying, classifying, and protecting personal and sensitive information through various technical and procedural approaches. Candidates should understand the key differences between multiple data governance methodologies and evaluate their applicability in enterprise environments. The topic requires knowledge of regulatory compliance requirements, data protection mechanisms, and organizational considerations when establishing governance programs. Additionally, learners must...
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Topic Content
Large Data Volume Considerations encompasses designing scalable data models that effectively handle high-volume datasets while maintaining optimal system performance across customer environments. This includes the ability to evaluate business scenarios and recommend appropriate data archiving and purging strategies that align with organizational storage management objectives and compliance requirements. Additionally, professionals must understand when virtualized data approaches are beneficial and be familiar with the various virtualized data options available to reduce physical storage footprint and improve data accessibility. The competency requires...
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Topic Content
Data Migration encompasses the strategic movement of information into and out of Salesforce systems. This topic requires understanding how to evaluate customer requirements and select optimal data loading techniques that maintain data integrity and quality throughout the migration process. Learners must be able to compare different approaches for migrating large data volumes efficiently while minimizing performance impact on Salesforce environments. Additionally, this topic covers the analysis of various export methodologies and their associated considerations when extracting data from Salesforce, including...
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